Analytics AND Insights Jobs in Gurgaon

Position: Market Research Analyst Location: Gurugram Experience: 2 5 Years Qualification: Any Graduate Working Days: 5 Days per Week Working Hours: 9 Hours per Day Job Overview: We are seeking an analytical and detail-oriented Market Research Analyst to support strategic decision-making by delivering actionable insights through market analysis, competitor research, data interpretation, and revenue optimization. The ideal candidate will have a strong grasp of research tools, excellent data handling capabilities, and a strategic mindset to support business growth. Key Responsibilities: Primary & Secondary Research Conduct in-depth primary and secondary research to gather insights on industry trends, consumer behavior, and market opportunities. Campaign & Data Analysis Analyze performance metrics from email marketing campaigns using Excel and Google Analytics. Track KPIs like open rates, click-through rates, and conversions. Segment audiences for personalized marketing and extract data-driven insights to enhance ROI. Competitor & Market Analysis Perform comprehensive competitor analysis, including product offerings, pricing, customer reviews, and market positioning. Use tools like SWOT analysis, market segmentation, and trend forecasting to inform strategic direction. Business Development Identify and assess new market opportunities, potential partnerships, and emerging trends to support the business development team. Contact Discovery Leverage tools like Hoovers, ZoomInfo, Lusha, LinkedIn Sales Navigator, Apollo, and more to identify and verify contact information for potential leads. Data Management Manage, cleanse, and validate datasets using Excel functions (VLOOKUP, Pivot Tables, etc.) to ensure data accuracy and relevance. Revenue Analysis Analyze revenue streams and apply market intelligence to support financial growth. Identify key performance drivers and align strategies to boost profitability. Cross-functional Collaboration Partner with marketing, sales, and strategy teams to align research efforts with business goals. Regulatory Awareness Monitor and analyze regulatory and policy changes impacting industry operations and business opportunities. Key Skills & Qualifications: Strong analytical and critical thinking skills. Hands-on experience with Excel, Google Analytics, and research platforms. Ability to manage, clean, and interpret large data sets. Familiarity with contact discovery tools and LinkedIn Sales Navigator. Working knowledge of market segmentation, competitor tracking, and KPI analysis. Excellent communication skills and cross-functional collaboration abilities. Highly organized with keen attention to detail. Qualification : Any Graduate and above

Product Analyst - Team Lead (Risk) Location: Gurugram, Haryana (On-site) Company: Paytm India s Leading Mobile Payments & Financial Services Platform About Paytm Paytm is India s pioneer in mobile payments and financial services distribution, transforming commerce for millions of small businesses. Our mission is to empower half a billion Indians by bringing them into the mainstream economy using innovative technology. About the Team The Credit Risk Product Team plays a critical role in lending by developing efficient, scalable, and compliant risk assessment models. The team partners with data scientists, engineers, and business stakeholders to refine underwriting processes through advanced analytics and machine learning optimizing loan performance and minimizing defaults. Role Overview We are looking for a detail-oriented Product Analyst to lead credit risk initiatives. In this role, you will implement and optimize credit risk policies while ensuring compliance with regulatory requirements. You will work closely with data scientists, product managers, and credit teams to enhance underwriting models and risk decision frameworks. Key Responsibilities Analyze credit risk across multiple credit products, such as credit cards, merchant loans, and personal loans. Collaborate with business teams to understand and implement credit risk policies on the platform. Monitor and evaluate the performance of risk policies; provide actionable feedback to Product and Policy teams. Leverage alternative data sources, machine learning models, and traditional credit assessments to improve risk evaluation. Conduct testing, scenario analysis, and policy resilience measurement. Track key risk indicators (KRIs) and generate insights for management. Ensure compliance with regulatory guidelines and internal risk frameworks. Work with product and technology teams to embed risk-based decision-making into lending workflows. Qualifications 1 2 years of relevant experience, preferably in fintech or banking. Strong proficiency in SQL and Python for data analysis and manipulation. Basic understanding of APIs and streaming platforms like Kafka is a plus. Excellent analytical, problem-solving, and communication skills. Ability to thrive in a fast-paced, dynamic environment and collaborate cross-functionally. Educational background: B.Tech from reputed institutes like NIT, BITS, or equivalent. Be part of India s largest fintech lending ecosystem with 500+ million users and 21+ million merchants. Work in a fun, energetic environment designed to help you reach your full career potential. Unique opportunity to shape India s largest digital lending story and drive financial inclusion.

Job Title: Growth Consultant Logistics SaaS | Gurgaon, Haryana Location: Gurgaon, Haryana Job Type: Full-time Industry: Logistics Technology | SaaS | Supply Chain Solutions Company: Shipsy About Shipsy Shipsy is a leading global SaaS company revolutionizing the logistics and supply chain industry through AI-powered solutions. In an industry worth trillions but still reliant on manual processes, our technology provides end-to-end shipment visibility, cost optimization, and enhanced customer experiences for some of the world s most renowned businesses. Our client base spans the Middle East, India, and Southeast Asia, and includes top-tier enterprises like Reliance, Domino s, Zepto, UPS Gulf, DTDC Express, Burger King, and Landmark Group. With over 3 million shipments processed daily, nearly 10% of India s container trade is tracked using our platform. Backed by global investors like Peak XV Partners, InfoEdge, and A91 Partners, we've raised $35M+ and grown to a 280+ member team across offices in Gurgaon (HO), Mumbai, Bangalore, and Dubai. Position Overview: Growth Consultant As a Growth Consultant at Shipsy, you'll act as a strategic advisor and customer success partner, helping clients realize the full potential of our logistics tech platform. You ll drive account growth by identifying new use cases, enhancing adoption, and ensuring clients achieve maximum ROI. This is a high-impact, consultative role requiring strong relationship-building, analytical thinking, and logistics domain expertise. Key Responsibilities Client Success & Relationship Management Build and maintain strong relationships with senior client stakeholders. Align client objectives with Shipsy s solutions to deliver business value. Conduct regular on-site visits to strengthen partnerships and understand evolving client needs. Growth Strategy & Account Expansion Analyze client usage and develop tailored growth strategies. Identify new use cases and encourage product adoption across departments. Lead strategic conversations that position Shipsy as a long-term partner. Customer Success Operations Serve as a trusted advisor by proactively addressing client challenges. Track KPIs and ensure timely adoption of new product features and enhancements. Monitor client performance metrics to ensure success outcomes are achieved. Upselling & Cross-Selling Identify upselling and cross-selling opportunities based on client goals. Collaborate with Sales and Product teams to facilitate renewals and expansion. Data-Driven Client Consulting Utilize data and analytics to deliver actionable insights and identify risks. Report on adoption trends, usage levels, and client engagement. Training & Enablement Deliver onboarding, training sessions, and resources tailored to client needs. Create customized enablement plans to help clients achieve faster time-to-value. Customer Advocacy & Feedback Act as the voice of the customer, communicating insights to Product and Engineering. Drive feature suggestions and improvements based on real-world use. Qualifications & Skills Bachelor s degree in Business, Sales, Marketing, or related field; Master s is a plus. 3+ years of experience in Customer Success, Account Management, or Consulting preferably in SaaS, Logistics, or Supply Chain tech. Proven ability to manage large enterprise accounts and foster long-term partnerships. Strong first-principles thinking and a strategic, problem-solving mindset. Familiarity with CRM tools and customer success platforms. Excellent communication, interpersonal, and organizational skills. Self-starter who thrives in a fast-paced, dynamic environment. Willingness to travel for client meetings and business reviews. Competitive compensation and performance-linked incentives. Access to world-class learning opportunities including a scholarship program. Collaborative, energetic, and diverse team culture built on innovation. Work alongside top talent from IITs, NITs, and global research institutions. Make a tangible impact in the digital transformation of global logistics. Join Shipsy and help leading global enterprises unlock their true potential through smart logistics technology. Qualification : Bachelors degree in Business, Sales, Marketing, or related field; Masters is a plus.

Senior Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 6-8 Years About FinBox FinBox is a cutting-edge fintech company that is reshaping how financial services are provided to businesses and consumers. Since our launch in 2017, we ve developed some of the most innovative technologies in the financial services space, enabling lenders such as Banks, NBFCs, and large enterprises to create and launch credit products in just days. As a Series A-funded company, we are expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build the best-in-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set new standards in the era of digital finance. We've helped our clients disburse billions of dollars in credit, covering a wide range of unsecured and secured products like personal loans, business loans, mortgages, and education loans. We ve made a significant impact, supporting over 100 companies and serving millions of customers every month. Why You Should Join FinBox: Innovative Environment: We foster a culture of creativity and experimentation, encouraging our team to push the boundaries of what s possible in fintech. Impactful Work: Your work will directly influence millions of lives by making credit more accessible to individuals and businesses. Growth Opportunities: As a Series A-funded startup, we offer numerous opportunities for professional development and career advancement. Collaborative Culture: Be part of a diverse, inclusive team of experts who are passionate about making a difference and supporting each other. Role Overview: As a Senior Data Scientist at FinBox, you will work at the intersection of data and business, helping to deliver impactful solutions in the lending space. You will be responsible for analyzing large datasets, extracting meaningful insights, and applying advanced data science techniques to improve products and drive business results. Key Responsibilities: Data Analysis & Insights Generation: Analyze big data to produce actionable insights that directly contribute to product improvements and business outcomes. Model Building & Experimentation: Develop and deploy algorithms to extract useful information from large datasets. Use statistical analysis and machine learning techniques to create predictive models. Data Visualization & Reporting: Create interactive dashboards and visualizations to help monitor key metrics and inform stakeholders. Automate report generation using data visualization tools. Collaborate with Teams: Work closely with business teams to translate customer requirements into problem definitions and develop algorithmic solutions to address business challenges. Data Processing & Pre-processing: Gather, clean, and preprocess relevant data for insight generation and model building. Present Complex Results: Distill complex analysis into simple, clear visualizations and explanations for stakeholders at all levels. Apply Data Science Techniques: Use techniques such as exploratory data analysis (EDA), regression analysis, decision trees, clustering, survival analysis, and more. Continuous Improvement: Apply iterative analytics to steer the continuous improvement of products and algorithms. Who You Are: Analytical Thinker: You have strong analytical skills and a passion for deriving actionable insights from complex data. Technical Proficiency: Proficient in Python, R, SQL, and Excel. Familiarity with AWS and Git is highly preferred. Data Science Knowledge: Solid understanding of statistical concepts, machine learning models, and algorithms. Knowledge of data science tools and techniques for large-scale data analysis. Data Visualization Expert: You can create clear and impactful visualizations to communicate findings effectively. Problem Solver: You thrive on tackling ambiguous problems and developing innovative solutions that directly impact the business. Collaborative: You enjoy working in a team environment and are able to translate technical concepts into business-friendly language for diverse audiences. Desired Qualifications: 6-8 years of experience in data science with a focus on machine learning and statistical modeling. Expertise in Python, R, SQL, and Excel for data analysis and visualization. Experience with AWS, Git, and other cloud-based technologies. Solid understanding of statistical concepts, machine learning algorithms, and model deployment. Experience with data visualization tools and creating dashboards. Ability to effectively communicate complex results to non-technical stakeholders. Innovative Culture: At FinBox, we love disruption and creativity. Here, you can take ownership and contribute ideas that directly impact our product and the industry. Global Impact: Work on high-impact projects with global customers, improving access to credit for millions. Career Growth: FinBox offers a fast-paced, dynamic environment where you can rapidly grow your career. Collaboration & Diversity: Join a team of talented, passionate people who value collaboration and diverse perspectives. If you re ready to make a real difference in fintech and enjoy solving complex problems with data science, apply now to be part of the FinBox team!

Job Title: Manager - Business Analytics Location: Gurugram Experience: 6+ Years (1+ Years as Manager in MIS, WFM, or Reporting) Education: Any Graduation Job Description: We are seeking a Manager - Business Analytics to effectively lead our Business Analytics function and manage a team of 15-20 business analysts. In this role, you will be responsible for implementing tools and strategies that translate raw data into valuable business insights. Your goal will be to help drive high performance and quality by leveraging data for decision-making. Strong logical reasoning skills, business intelligence, and excellent communication abilities are essential for this role. Key Responsibilities: Team Leadership: Lead and manage a team of 15-20 Business Analysts, providing guidance and support in their daily activities and ensuring the accuracy and efficiency of their work. Data Reporting & MIS Generation: Generate, maintain, consolidate, and track various reports, ensuring timely and accurate delivery. Develop and execute daily, weekly, and monthly MIS Reports, utilizing advanced Excel/VBA, PPT, and MySQL. Update informative dashboards regularly with data visualization elements like Bar Charts, Pie Charts, etc. Reconcile and email MIS reports with data visualization details and track business performance. Data Analysis & Experimentation: Conduct data-based experiments to identify opportunities for improving the decision-making process. Develop and execute statistical modeling techniques for better business insights and to cover adjacent categories. Identify opportunities for automating reports, snapshots, and dashboards using advanced formulas, macros, and VB. Strategy & Process Optimization: Develop strategies for effective data analysis and reporting, ensuring that insights generated are aligned with business goals. Build systems and tools that can transform raw data into actionable business insights. Work closely with cross-functional teams to ensure that all analytics solutions are correctly configured and implemented. Data Quality & Integrity: Oversee all analytics operations to identify discrepancies and ensure the data is of the highest quality. Identify gaps in reporting systems and drive improvements to ensure the accuracy of business-critical data. Cross-Functional Collaboration: Collaborate with other departments to gather insights, ensure consistent reporting, and solve business challenges using data-driven decisions. Skills and Qualifications: Experience: Minimum 6 years of overall experience in analytics or reporting, with at least 1 year as a Manager in MIS, WFM, or Reporting. Technical Skills: Proficient in Advanced Excel, VBA, PowerPoint, and MySQL. Experience in building and maintaining dashboards, utilizing data visualization tools. Strong understanding of statistical modeling techniques and experience in applying them to business problems. Leadership: Proven experience in managing and mentoring a team, with the ability to guide the team towards effective problem-solving and reporting outcomes. Analytical Mindset: Strong problem-solving abilities and a keen eye for detail, ensuring data accuracy and the generation of actionable insights. Communication Skills: Excellent verbal and written communication skills, with the ability to present complex data insights in a clear and understandable manner to stakeholders at all levels. Automation & Optimization: Expertise in automating reporting processes using advanced formulas, macros, and VB to improve efficiency and accuracy. Additional Information: Work Days: 6 Days a week. Location: Gurugram. Education: Any graduation (Bachelors or higher). What We Offer: Competitive salary and benefits. A collaborative and growth-oriented work environment. Opportunity to make a significant impact on business performance using data-driven insights.

About Shiprocket: At Shiprocket, we are on a mission to simplify and elevate the e-commerce experience. We provide e-commerce sellers with AI-powered technology and reliable services, covering everything from conversion and order fulfillment to shipping, customer communication, and returns management. Our platform scales data, workflows, and supply chains to equip sellers with the tools they need to deliver exceptional customer experiences. What It s Like to Work at Shiprocket: At Shiprocket, we embrace the following success traits that shape our culture and drive us toward achieving great things: Innovation Within Constraints: Embrace constraints and use them as a foundation for innovation. Speed is Key: Make swift decisions and take action based on their potential impact. Ruthless Frugality: Be frugal, as it leads to growth and efficiency. Direct Communication: Be transparent and honest in all interactions. Sports Team Mentality: We re not a family, we re here to win as a team. Customer Obsession: Always prioritize the customer and their experience. Role Overview: We re seeking a highly analytical and data-driven Central Analytics Lead to drive data-informed decision-making across Shiprocket. In this role, you ll play a critical part in building and scaling our central analytics function. You will help identify key business opportunities, provide actionable insights, and enable data-driven strategies across all departments. Key Responsibilities: Develop & Implement Analysis Frameworks: Design and implement robust data analysis methodologies and frameworks to enhance decision-making. Dashboard & Reporting: Build and maintain data dashboards and reports to monitor performance and track key business metrics. In-depth Data Analysis: Conduct detailed analysis to identify trends, uncover insights, and inform strategic decisions that drive business growth. Stakeholder Presentations: Develop data-driven presentations to communicate insights and recommendations to stakeholders across the organization. Cross-Functional Collaboration: Work closely with teams across product, marketing, sales, and operations to understand their data needs and provide actionable insights. Team Development: Build and mentor a high-performing team of analysts (future expectation). Identify Opportunities for Innovation: Identify areas for process improvement and data-driven innovation to enhance business strategies. Ensure Data Integrity: Maintain data quality and integrity across all systems and platforms. Stay Ahead of Trends: Keep up-to-date with the latest advancements in data analytics and visualization tools. Preferred Skills & Qualifications: Experience: 4+ years in an analytics role, ideally in a fast-paced, high-growth startup environment. SQL & Data Warehousing: Exceptional SQL skills with experience in data warehousing and ETL processes. Data Visualization: Strong experience with data visualization tools (e.g., Tableau, Power BI, Looker). Communication Skills: Excellent presentation, communication, and storytelling abilities to translate complex data into actionable insights. Analytical & Problem-Solving Skills: Strong critical thinking and independent problem-solving skills to tackle complex data challenges. Growth Mindset: Eagerness to learn and adapt to new challenges and technologies. Educational Background: Bachelor s degree in Statistics, Mathematics, Economics, Computer Science, or a related field. Bonus Points: Data Infrastructure: Experience in building and scaling data infrastructure and systems. Machine Learning: Experience with machine learning and predictive modeling techniques. Qualification : Bachelors degree in Statistics, Mathematics, Economics, Computer Science, or a related field.

About Shiprocket: At Shiprocket, we are on a mission to make e-commerce simple, accessible, and trustworthy. We empower e-commerce sellers with AI-driven technology and reliable services, covering everything from conversion and order fulfillment to shipping, customer communication, and returns management. Our platform scales data, workflows, and supply chains, providing sellers with everything they need to deliver an exceptional customer experience. What It s Like to Work at Shiprocket: Our culture is built on the following principles: Key to True Innovation: We thrive under constraints and use them as opportunities to innovate. Speed Above All Else: We prioritize quick decision-making and actions that make the most impact. Be Ruthlessly Frugal: Efficient use of resources drives growth. Say It Like It Is: We value honesty and directness in communication. We re Not A Family, We re A Sports Team: We are here to win and accomplish great things together. Customer-First Mentality: Our focus is always on delivering outstanding experiences for our customers. Role Overview: Shiprocket s Engineering Team is focused on driving innovation and excellence within the e-commerce and logistics industries. We are dedicated to developing cutting-edge technology solutions that empower businesses to scale efficiently, optimize operations, and deliver outstanding customer experiences. With a focus on automation, data-driven decision-making, and seamless integrations, we aim to revolutionize how merchants, customers, and logistics providers interact. We are looking for a Data Analyst with 2-6 years of experience to help support our diverse business units (Finance, Product, Operations, Marketing, etc.) by leveraging insights derived from analyzing large datasets. The ideal candidate will be proficient in data mining, analytical methods, data tools, and model development and implementation. Roles and Responsibilities: Data Preparation & Analysis: Gather and analyze data to generate reports that provide actionable insights to business teams. Support the strategic planning of new AI or data-centric products. Insight Generation: Analyze key metrics and performance indicators to identify the root causes of inefficiencies or defects in processes, helping teams drive improvements. Collaboration with Business Teams: Collaborate proactively with various internal business teams to enhance project outcomes, focusing on optimizing resource utilization and ensuring timely completion. Report Creation: Build and maintain reports that communicate key findings and trends clearly to management, facilitating data-driven decision-making. Continuous Improvement: Recommend and implement improvements based on data insights, contributing to better operational efficiencies. Preferred Skills & Qualifications: Business & Statistical Acumen: Ability to translate business questions into statistical solutions and communicate insights effectively. Data Analytics Proficiency: Expertise in SQL, PL/SQL, BigQuery, and Snowflake. Experience in scripting languages like Python is highly desirable. Analytical Tools & Methodologies: Strong understanding of OLTP/OLAP databases, data analytics tools, and methodologies. Hands-on experience in data mining and statistical modeling. Data Visualization Skills: Experience with tools such as Metabase (preferred) and advanced Excel to present data insights in an accessible format. Cloud Services Knowledge: Familiarity with AWS services is a significant advantage. Problem-Solving: Proactive mindset with the ability to identify challenges and develop practical solutions to improve processes and drive business results. At Shiprocket, we offer a dynamic, fast-paced work environment where you ll have the opportunity to make a significant impact. You'll work alongside a talented team that embraces innovation, prioritizes customer satisfaction, and continuously pushes the envelope to redefine e-commerce logistics.

Position: Product Owner - Core Analytics Solutions (CAS) Job Overview: At BlackRock, technology and innovation are central to our mission of delivering world-class financial solutions. As part of Aladdin Financial Engineering (AFE), the Core Analytics Solutions (CAS) team is responsible for delivering analytical capabilities that drive better portfolio decisions. CAS works closely with investment teams and clients, transforming data into actionable insights and delivering solutions across asset classes and client segments. About Aladdin Financial Engineering (AFE): Join over 400 modelers and technologists in AFE within BlackRock Solutions. AFE is responsible for the research, development, and analytics production of Aladdin s financial models. These models span a wide range of financial products and provide insights to portfolio and risk management professionals. About Core Analytics Solutions (CAS): The CAS team within AFE creates and delivers Aladdin s analytical capabilities, ensuring clients can make informed portfolio decisions and achieve their financial goals. Our team is known for problem-solving, innovation, and delivering scalable solutions using Aladdin s global investment platform. Role Description: As a Product Owner with CAS, you will focus on portfolio risk methodologies like VaR and Stress Testing. You will work with modelers and collaborate with product managers, engineers, and data teams to deliver next-generation risk models. This role requires a blend of subject matter expertise, analytical skills, and leadership in driving product initiatives using agile frameworks. Responsibilities: Deliver next-generation risk models for portfolio risk methodologies such as Ex-ante risk models, Historical VaR, Monte Carlo VaR, Stress Testing, and factor risk models. Drive agile framework implementation to ensure predictability and transparency across initiatives. Work closely with stakeholders to define and articulate product requirements, ensuring alignment with business needs. Perform independent analytical validations and present results to stakeholders. Influence the analytics roadmap by understanding rapidly evolving markets and stakeholder needs. Automate processes to increase efficiency and throughput. Present models to clients, address concerns, and build trust in BlackRock s solutions. Collaborate with technology and analytics teams to build scalable, customized solutions using Aladdin APIs. Define processes for quality control and ensure the robustness and reliability of Aladdin s analytics models. Develop and maintain documentation for analytical models and processes. Mentor junior analysts and help them build expertise in the field. Experience/Qualifications/Skills: 3-6 years of experience in developing, deploying, or using financial risk models. Deep understanding of financial models and risk methodologies, including factor models. Experience with APAC markets is a plus. Proven track record of leading cross-functional initiatives as an agile product owner. Experience in finance, econometrics, statistical analysis, or advanced mathematics. Experience with technical tools like Linux, SQL, and scripting platforms. Programming skills (Python, advanced Excel) are a plus. Knowledge of financial risk management certifications (CFA, FRM) is a plus. Excellent quantitative, analytical, communication, and presentation skills. Ability to collaborate effectively with both technical and non-technical stakeholders. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model fosters collaboration while offering flexibility. Employees are expected to work at least 4 days in the office per week, with the option to work from home 1 day a week. About BlackRock: BlackRock is committed to helping people experience financial well-being. Our clients rely on our investment expertise to save for retirement, pay for education, and fund other life goals. We invest in our employees to create a supportive environment where they can thrive professionally and personally. We offer benefits and development opportunities to support our employees' growth. Qualification : Engineering, Finance, Mathematics, Business Management or some other quantitative field of study. Advanced degree preferred. Bachelors degree required.

Job Summary: We are seeking a Sales Data Analyst to support our sales team by performing repetitive reporting tasks, system administration, and data analysis to improve business insights. The ideal candidate will be proficient in data collection and analysis from internal and external sources, ensuring accurate and timely reporting to assist in sales forecasts and decision-making. This role requires someone with a strong focus on process efficiency and the ability to adapt to evolving business needs. Key Responsibilities: 1. Reporting: Consolidate and distribute sales reports under limited supervision. Gather data from various sources using existing templates and provide input for forecasting. Conduct regular data analysis to ensure accurate and complete sales reports. 2. System Administration: Run repetitive and ad-hoc tasks on sales systems and tools (e.g., Salesforce, WWSPS, BMS, Portal). Periodically review user-entered data to ensure its completeness. 3. Data Analysis (Internal & External): Conduct ad-hoc and recurring analyses of external data sources (e.g., Polk, Dodge, RigDig). Research and compile competitive data and opportunities through secondary research. Perform internal sales analyses such as variance, projections, costing, and bundling. Competencies & Skills: Action Oriented: Take on new opportunities and challenges with urgency, energy, and enthusiasm. Adapt quickly to changing needs and work with high efficiency. Collaboration: Build partnerships and collaborate with others to achieve shared goals. Effective Communication: Communicate complex data and insights clearly to diverse audiences, ensuring they understand and act upon the information. Self-Development: Actively pursue opportunities for personal and professional growth. Data Analytics: Interpret both qualitative and quantitative data to draw meaningful insights. Use frameworks and methodologies to present data findings that influence business decisions. Project Schedule Management: Manage schedules using appropriate tools to ensure timely completion of tasks and projects. Adapts to Target Audience: Explain technical data in a simplified manner that can be understood by non-technical audiences. Customer Perspective Integration: Incorporate an understanding of customer needs to develop sales strategies that drive revenue and customer satisfaction. Values Differences: Embrace diverse perspectives and foster an inclusive environment. Qualifications: Education: High school diploma or equivalent is required. A relevant certification or further education in data analysis or sales is preferred. Experience: Some work experience in a data analysis or sales support role is required. Intermediate-level knowledge of sales systems and tools through training or on-the-job experience. Skills: Primary and Secondary Sales Mechanics Connect Fleet Approach Reborer Connect Additional Requirements: This position may require licensing for compliance with export controls or sanctions regulations. Benefits: Competitive salary and benefits package. Opportunities for skill development and career growth. Supportive, collaborative work environment. This role is an exciting opportunity for someone with a keen eye for data and a passion for supporting sales teams with actionable insights. If you're looking to contribute to a dynamic team, apply today! Qualification : High school diploma or equivalent is required.

The Team: Cappitech Enterprise provides Trade & Transaction Reporting services across various regimes for various asset classes, products & workflows. Our services enable financial institutions to do Reconciliation, Advanced Analytics, Exception Management and comply with regulatory requirements. With our processing services, buy-side and sell-side firms can optimize workflow efficiency and comply with new regulations. The Role: Cappitech Enterprise is seeking a Senior Business Analyst for Gurgaon, India in the Product Management team. The role is a critical part of our growth strategy for the region and focused on Regulatory Reporting solutions. What's in it for you: If successful the role will naturally expand into broader capabilities such as data, insights and analytics delivery to the Global marketplace. Responsibilities: Knowledge / experience in Regulatory Reporting or Trade & Transaction Reporting of OTC / ETD Derivatives is a must. Candidates who have worked on Regimes / Jurisdictions like CFTC, SEC, Canada, EMIR, FCA, MIFID II, ASIC, MAS, JFSA, HKMA, LBMA, South Korea would be preferred. A basic understanding of OTC & ETD derivatives terms and principals would be beneficial for the role Understanding of requirements elicitation, structured analysis, stakeholder management, use case definition and other Business Analysis techniques Understanding of ISO, FpML, XML Schemas, DTDs, XSL Transformation style sheets would be beneficial Able to produce structured analysis and design documents Able to work with Development during technical implementation phase & QA during testing to ensure implementation meets design and requirements Oversee Sanity, Component testing & review of Test Plans Able to conduct public presentation of concepts and ideas comfortably Able to identify options for potential solutions, including assessment of technical and business suitability Able to work collaboratively and consistently with team members at all levels, peers, senior analysts and managers and complex stakeholder group across geographical boundaries Able to work creatively, propose ideas and contribute to working groups and team meetings What We're Looking for: Bachelor or master s degree in business administration, technology, or similar discipline 5-12 years of relevant professional experience Prior Financial Services IT experience would be essential. Strong Analytical & Communication skills. Good Knowledge of requirements elicitation, structured analysis, requirement documentation, stakeholder management, use case definition and other Business Analysis techniques Exposure to SQL, DB, Object-oriented languages (general technology know-how), ISO 20022/XML/FpML/JSON/CSV would be desirable. Familiarity with OTC derivatives, clearing and regulatory reporting of OTC transactions would be beneficial Personal Competencies: Personal impact Self-directed and highly motivated individual Strong interpersonal skills Excellent oral and written communication skills Team player Ability to work under pressure Communication Excellent communicator in written and spoken English Excellent interpersonal skills Negotiation skills Teamwork Partner with distribution and delivery teams in different geographical locations About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. Qualification : Bachelor or masters degree in business administration, technology, or similar discipline

The Team Part of the Digital Platforms group, this team focuses on delivering commodity market insights through innovative data delivery methods. Our collaborative, global team thrives on open communication, mutual respect, and a shared commitment to excellence. You ll oversee the development of various data delivery mechanisms, including real-time streaming, cloud platforms, and Microsoft integration tools like Power BI and Excel add-ins. The Opportunity S&P Global Commodity Insights generates vast amounts of data, tracking real-time commodity market activities. This role offers the unique chance to: Gain deep exposure to the commodity markets. Shape the future of data delivery and analytics. Work with AI technologies to create real-world applications. Key Responsibilities 1. Strategy & Roadmap Development Define and evolve data delivery roadmaps in response to changing commodity markets. Align product strategies with business goals, market trends, and customer needs. 2. Product Development & Delivery Lead product development from ideation to launch, ensuring alignment with organizational goals. Collaborate with internal teams to navigate technical and commercial challenges. Maintain consistent and scalable delivery structures across mediums. 3. Stakeholder Collaboration Build strong relationships with internal and external stakeholders, including clients, partners, and cross-functional teams. Act as a liaison between Commodity Insights and S&P Global s Enterprise Data Organization. 4. Team Leadership & Mentorship Inspire and coach a team of product managers and owners, driving career development and fostering a culture of accountability and innovation. 5. Customer & Market Insight Conduct client interactions to gather insights on workflows, pain points, and feature needs. Stay updated on industry trends, competitor products, and emerging technologies. 6. Operational Excellence Ensure transparency in progress, provide regular updates to leadership, and manage risks. Support go-to-market activities, including marketing content, training, and internal enablement. Qualifications Core Requirements: 5+ years of product management experience in global FinTech, cloud, or data delivery companies. In-depth knowledge of energy and commodities markets and data expectations. Familiarity with GenAI components, RESTful APIs, Python, and cloud distribution platforms (e.g., Snowflake, Databricks, AWS). Bachelor s degree in a technical or science discipline. Experience with Agile and Lean methodologies. Key Skills: Proven track record of bringing products to market, including feasibility assessment and commercial delivery. Strong project management and PMO skills, capable of balancing strategic and operational demands. Customer-centric mindset with the ability to translate insights into actionable product features. Advanced analytical and quantitative skills to support data-driven decision-making. Strategic problem-solving and excellent communication skills. Experience using AI with structured and unstructured data. Preferred Experience: Background in front-office trade analysis, trade support, or risk management in commodity trading. Experience with market data or analytics vendors in the commodity space. Why Join Us? Global Impact: Shape the future of data delivery in the commodity industry. Career Growth: Work with cutting-edge technologies and a collaborative team. Diverse Culture: Join a team that values inclusion, creativity, and mutual respect. Qualification : Bachelors degree or equivalent experience in technical or science major

The Role As a Senior Business Analyst based in Gurgaon, India, you will play a pivotal role in delivering Regulatory Reporting solutions. The position focuses on understanding and translating client needs into actionable product requirements, collaborating with stakeholders across geographies, and ensuring high-quality implementations. What s in It for You? This role offers opportunities for growth into broader domains, including data, insights, and analytics delivery on a global scale. Responsibilities Leverage experience in Regulatory Reporting or Trade & Transaction Reporting for OTC/ETD Derivatives. Work on regimes like CFTC, SEC, EMIR, FCA, MIFID II, MAS, HKMA, and more. Apply Business Analysis techniques for requirements elicitation, structured analysis, and stakeholder management. Create structured analysis and design documents for product implementation. Collaborate with Development and QA teams to ensure technical and business requirements are met. Conduct and oversee Sanity, Component Testing, and Test Plan reviews. Present concepts and ideas confidently to internal and external stakeholders. Identify potential solutions, assessing both technical and business suitability. Actively engage in team meetings and cross-functional collaboration across geographic locations. What We re Looking For Qualifications: Bachelor s or Master s degree in Business Administration, Technology, or a similar field. 5-12 years of relevant professional experience. Prior Financial Services IT experience is essential. Technical Skills: Proficiency in Business Analysis techniques (e.g., use case definition, requirement documentation). Exposure to SQL, Databases, and Object-oriented programming languages. Familiarity with data formats like ISO 20022, XML, FpML, JSON, and CSV. Knowledge of OTC derivatives, clearing, and regulatory reporting. Personal Competencies: Self-motivated, with strong interpersonal and communication skills. Ability to work under pressure and manage complex stakeholder groups. Collaborative and able to contribute to working groups and team meetings. Communication Skills: Excellent written and spoken English. Strong negotiation and interpersonal skills. Qualification : Bachelor or masters degree in business administration, technology, or similar discipline

Position: Customer Satisfaction & Process Excellence Specialist Location: Gurgaon Experience: 5 to 8 years Education: MBA / PGDM in Marketing, Sales, or Operations Role Overview We are looking for a Customer Satisfaction & Process Excellence Specialist to drive Sales Satisfaction Index (SSI) initiatives and champion sales process improvements across our dealer network. This role will be instrumental in improving the customer experience, driving digital adoption, and supporting sales effectiveness through actionable insights and structured process excellence initiatives. Key Responsibilities Survey Planning & Execution Plan and manage SSI, Pre-Sales, and need-based sales surveys within defined timelines. Ensure quality data collection and compliance with established protocols. Data Analysis & Reporting Analyze and deliver dealer-wise and factor-specific survey reports. Monitor key satisfaction metrics and identify trends impacting customer experience. Customer Grievance Monitoring Investigate hot alerts and complaints from SSI surveys to uncover recurring customer issues. Coordinate resolution efforts with internal teams and ensure timely closure. Digitalization & Tool Enhancement Work with IT/Digital teams to digitize survey processes, ensuring smooth integration with platforms like Salesforce. Lead testing and improvement cycles for digital SOP manuals and customer-facing applications. Dealer Performance Support Share survey outcomes with regional teams and assist in developing dealer-specific improvement plans. Track progress of underperforming dealerships and provide structured feedback. Process Improvement Own and update digital Sales SOPs annually, ensuring alignment with evolving customer expectations and business goals. Collaborate with cross-functional teams to improve workflow efficiency and service quality. CX Monitoring & Digital Journey Optimization Regularly assess customer-facing digital touchpoints to ensure optimal user experience. Coordinate updates to maintain a seamless, intuitive customer journey. Key Skills & Competencies Strong analytical mindset and problem-solving capability Proficient in survey design, data analysis, and reporting tools Working knowledge of CRM platforms (Salesforce preferred) In-depth understanding of automotive retail sales processes Proficiency in MS Excel, PowerPoint, and data visualization tools Excellent communication and stakeholder management skills Preferred Qualifications MBA / PGDM in Marketing, Sales, or Operations 5 8 years of experience in customer experience, process improvement, or market research Automotive industry experience is highly preferred Skills Required Sales & Customer Experience Process Improvement Stakeholder Communication Survey & Data Analytics Drive customer-centric transformation and be at the forefront of sales excellence. Apply now and contribute to shaping a superior customer journey across our dealer network. Qualification : MBA / PGDM in Marketing, Sales, or Operations

Job Title: Customer Success Manager Location: Gurugram, Haryana (Onsite) Experience: 3 5 Years | Type: Full-Time About Spyne At Spyne, we are transforming the automotive retail industry with cutting-edge Generative AI solutions. With over 52 million cars sold annually in the US alone, our AI-powered imaging platform enables dealerships and marketplaces to create studio-quality visuals boosting engagement, footfall, and ultimately, sales. We re on a mission to become the leading AI software provider for the used-car market. From acquisition to appraisal, listing, marketing, and CRM Spyne aims to power every stage of the automotive retail journey with intelligent automation. Backed by Accel Partners, Storm Ventures, and other top investors, our team in Gurugram is scaling fast across the US and Europe, building impactful solutions for over 150K dealerships. About the Role: Customer Success Manager We are looking for a Customer Success Manager (CSM) with a proven track record in SaaS client management to own relationships, retention, and success for our US and EU customers. You ll serve as a trusted advisor to mid-market clients ensuring they unlock the full value of our platform and remain long-term partners. If you're a relationship-builder, data-driven thinker, and problem-solver who thrives in fast-paced environments, this is your opportunity to make a global impact. Key Responsibilities Client Relationship Management Own and nurture long-term relationships with mid-market clients across North America and Europe Serve as the main point of contact for a portfolio of customers, driving satisfaction and value realization Conduct regular QBRs, performance reviews, and check-ins to ensure goal alignment Account Growth & Retention Monitor account health and identify churn risks early, deploying proactive measures Spot and execute upsell and cross-sell opportunities in collaboration with the Sales team Ensure a seamless customer experience across onboarding, support, and renewals Data-Driven Insights & Strategy Analyze usage data, customer behavior, and feedback to uncover opportunities for growth and improvement Run customer satisfaction surveys (e.g., NPS) and translate insights into actionable product or process improvements Advocate for customer needs in internal roadmap discussions with Product and Engineering teams Tools & Operational Excellence Manage customer data and communication effectively using CRM tools like Salesforce, HubSpot, or similar Maintain accurate account records, ensuring consistency, reporting accuracy, and informed decision-making Cross-Functional Collaboration Partner with Product, Marketing, Sales, and Support teams to drive customer adoption and satisfaction Act as the voice of the customer, influencing product features, improvements, and support processes What You ll Bring 3 5 years of experience in Customer Success or Account Management within a SaaS company Proven success in managing mid-market clients across US and European regions Strong command of CRM systems (e.g., Salesforce, HubSpot) and analytics tools Excellent written and verbal communication skills with a customer-first mindset Strong problem-solving skills and the ability to handle escalations with tact and professionalism Familiarity with data-driven decision-making and success metrics Comfortable working in US time zones as needed (Preferred) Knowledge of the automotive SaaS space or experience supporting independent dealerships Fast-growth stage startup backed by top-tier global investors Work with a young, passionate team (average age: 25 26) led by seasoned professionals Best-in-class gender diversity in the AI tech industry Transparent, inclusive, and employee-first culture with near-zero attrition Excellent health, leave, and compliance-friendly policies Huge opportunity to grow 10x+ in your career as we scale across global markets If you're ready to take ownership of global customer relationships and drive real impact in a hyper-growth company, we d love to hear from you. Apply now and let s drive the next wave of automotive innovation together.

Assistant Manager / Sr. Executive - Performance Marketing Location: Gurugram, Haryana, India Employment Type: Full-time About ixigo ixigo is a leading travel-tech company based in India, empowering millions of travelers to plan, book, and manage their trips across rail, air, buses, and hotels. Using cutting-edge AI, machine learning, and data science, ixigo helps travelers make smarter decisions. With the inclusion of ConfirmTkt and AbhiBus in 2021, ixigo is positioned as one of the top 10 most downloaded travel apps globally, as per data.ai (2022). We re headquartered in Gurugram, with additional offices in Bangalore and Hyderabad. Job Description We are looking for a Performance Marketer with a creative, analytical mindset to help ixigo continue to grow. In this role, you will manage campaigns across various digital marketing platforms to drive high-quality user acquisition and optimize return on investment (ROI). You will work in a fast-paced startup environment, thrive on problem-solving, and take ownership of driving the growth of one or more of ixigo s products. Your ability to leverage data, craft creative strategies, and test various channels to improve performance will be essential to your success. This is an exciting opportunity to have a direct impact on the growth of our digital platforms. Key Responsibilities Campaign Management: Own and manage paid marketing campaigns across platforms such as Google, Facebook/Instagram, Apple Search Ads, Bing, Snapchat, Twitter, Quora, etc., ensuring the highest possible user acquisition quality. Performance Analysis: Track, report, and analyze performance KPIs across all channels to optimize campaigns and maximize ROI. Highlight potential trade-offs between CPA-based activities, and make data-driven recommendations on budget allocation and strategy adjustments. Growth Strategy Development: Leverage market research and audience insights to segment, target, and engage potential customers effectively. Design creative, data-backed marketing strategies and test campaigns to identify opportunities for improving user engagement and growth. Identifying New Channels & Opportunities: Explore new and emerging marketing channels to drive faster adoption and identify viral growth opportunities. Experiment with new platforms, products, and technologies to uncover strategies that drive growth. Product & Content Optimization: Work closely with product and content teams to identify opportunities for driving viral growth and improving acquisition efforts. Testing and Iteration: Use A/B testing tools, Google Analytics, Adjust, and Firebase to measure, experiment, and refine campaign strategies. Creative Skills: Collaborate with design teams and use tools like Photoshop (or other basic image-editing tools) to create high-quality visual assets for marketing campaigns. Qualifications Must-Have Skills & Experience Education: B.Tech/B.E. from a Tier 1 college (MBA is a plus). Experience: 2 - 4 years of hands-on experience driving user acquisition through digital channels for mobile and internet products. Experience with digital marketing channels such as Google Ads, Facebook/Instagram, Snapchat, Twitter, Apple Search Ads, Quora, etc. Marketing Expertise: Deep understanding of Search Engine Marketing (SEM), Social Media, and Content Marketing strategies. Strong knowledge of A/B testing, Google Analytics, Adjust, Firebase, and other digital marketing tools. Creative & Analytical Skills: Strong creative intuition and analytical thinking akin to a Product Manager. Ability to generate creative marketing solutions while keeping an eye on performance metrics. Technical Acumen: A solid grasp of user behavior and mobile app marketing. Experience using image editing tools (e.g., Photoshop) for campaign assets is a plus. Growth Mindset: Strong curiosity about new apps, web products, SaaS tools, and platforms that can drive faster growth. A knack for identifying trends and testing new ideas to find what works. Behavioral Traits Communication: Exceptional communication skills with the ability to express complex ideas in simple and easy-to-understand terms. Creative Problem-Solver: Ability to come up with creative and effective solutions to marketing challenges. Startup Mindset: Thrive in an an informal startup environment and bring a hands-on, proactive attitude to the table. High Energy & Drive: Possess a high energy level with a commitment to achieving goals and driving team success. Impact: Own and drive the performance marketing strategy for ixigo s products. Dynamic Environment: Work in a fast-paced, high-energy startup culture. Growth Opportunities: Learn and grow in an environment that fosters creativity and innovation. Competitive Compensation: We offer attractive pay and benefits.

Principal Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 8-11 Years About FinBox FinBox is at the forefront of transforming the financial services industry with our innovative technologies. Since our inception in 2017, we have empowered lenders, such as Banks, NBFCs, and large enterprises, to build and launch credit products quickly within days rather than months or years. As a Series A funded company, we re expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build world-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set a new standard in digital finance. We've already helped our customers disburse billions of dollars in credit across unsecured and secured credit, including personal loans, working capital loans, business loans, mortgages, and education loans, impacting over 5 million customers every month. Why You Should Join FinBox: Innovative Environment: We cultivate creativity and experimentation. We want you to challenge the status quo and push boundaries in fintech. Impactful Work: Your contributions will have a direct, positive impact on millions of lives, making credit more accessible to individuals and businesses globally. Growth Opportunities: As a Series A-funded startup, FinBox provides tremendous opportunities for career development and professional growth. Collaborative Culture: Join a diverse, inclusive, and highly skilled team, all passionate about making a meaningful difference in the fintech world. Role Overview: As a Principal Data Scientist at FinBox, you will play a critical role in driving data science initiatives and shaping the direction of data-driven decision-making. You will leverage your deep expertise in machine learning and statistics to design and deploy predictive models, optimize algorithms, and lead experimentation processes that directly impact our products and business strategies. You will work closely with cross-functional teams to translate business requirements into data-driven solutions and collaborate on deploying models at scale. Key Responsibilities: Data Analytics & Insights: Analyze large, complex datasets to generate insights that drive business growth and measure the impact of business decisions. Model Development & Experimentation: Design, build, and deploy predictive models, using machine learning techniques such as regression, clustering, decision trees, and survival analysis. Algorithm Development: Optimize algorithms to process data efficiently, supporting better decision-making across the business. A/B Testing & Experimentation: Lead A/B testing and other experimentation methodologies to refine products and optimize business strategies. Data Visualization & Reporting: Create automated dashboards and reports using visualization tools like Tableau or Power BI to clearly communicate insights to stakeholders. End-to-End Data Processing: Manage the full lifecycle of data processing from gathering and cleaning data to creating models and deploying them in production. Stakeholder Collaboration: Collaborate with product, engineering, and business teams to translate business needs into data-driven solutions. Model Deployment: Ensure that machine learning models are effectively deployed at scale and optimized for real-time business applications. Who You Are: Experience: 8+ years of experience in data science, with a proven track record in the finance or fintech industry. Technical Expertise: Strong proficiency in Python, R, SQL, and Excel for data analysis, model development, and automation. Cloud & Version Control: Proficiency in AWS for cloud-based deployment and Git for version control. Advanced Data Science Skills: Expertise in statistical methods and machine learning techniques including regression, clustering, decision trees, bootstrapping, and survival analysis. Data Visualization: Extensive experience with data visualization tools like Tableau, Power BI, or open-source libraries (e.g., Matplotlib, Seaborn). Problem Solving & Communication: Strong problem-solving skills with the ability to distill complex models into actionable insights for business stakeholders. Deployment Experience: Experience in deploying and maintaining machine learning models at scale, focusing on automation, real-time analytics, and continuous improvement. Innovative Culture: Join a team that is dedicated to pushing the boundaries of what is possible in fintech, with an environment that fosters creativity and experimentation. Global Impact: Your work will directly influence the future of financial services, helping millions of customers access fair and accessible credit. Career Growth: As a growing startup, FinBox offers substantial opportunities for personal and professional growth. Collaborative Team: Work with a team of talented, driven professionals who believe in collaboration, inclusivity, and shared success.

Job Title: Associate Data Scientist - Social Media Analytics About this Role: Join Gartner s Social Media Analytics team, where you will help generate actionable insights from social media and internal/external Gartner data. This role is perfect for someone passionate about learning new technologies, text analytics, and working with unstructured data. As an Associate Data Scientist, you'll analyze data, draw recommendations, and visualize insights for research, using NLP, Machine Learning, and Deep Learning techniques. You will work closely with stakeholders to optimize data mining and improve the accuracy of insights generated. What You ll Do: Execute High-Impact Data Science Projects: Translate research objectives into actionable data and facts using social media and Gartner's internal/external data. Ad-hoc Modeling and Analytical Insights: Provide modeling and analytical insights to inform strategic and operational initiatives. Analyze Unstructured Data: Use advanced data science techniques to analyze unstructured text data, identifying insights and patterns. Interpret and Apply Findings: Align findings with business objectives and translate them into actionable business insights. Solve Business Challenges: Leverage Data Science, ML, and NLP to address pressing business challenges. Stakeholder Interaction: Collaborate with internal and external stakeholders to refine and improve findings. Data Science Driven Initiatives: Drive initiatives with some guidance while building strong domain expertise. Multi-tasking & Agility: Handle different projects in a fast-paced environment with strict SLAs and tight turnaround times. What You ll Need: Education: A fresher with a Master's in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, or Data Science. Alternatively, a B.E./B.Tech + Masters in Advanced Analytics or Data Science. Experience: 1-3 years of hands-on AI/ML experience, especially in Text Mining, NLP, and text analytics. Technical Skills: Expertise in Python (Pandas, Numpy, scikit-learn), SQL, TensorFlow, and other data science tools. Familiarity with AWS/Azure environments for training, testing, or deploying models. Machine Learning & NLP Knowledge: Ability to train, fine-tune, or apply ML, Deep Learning, LLMs, and NLP models. In-depth knowledge of NLP concepts and application experience. Data Preparation Skills: Expertise in data cleaning, normalization, and preparation for model training or inference. Analytical Mindset: Strong ability to identify patterns in unstructured datasets and provide actionable insights. Communication Skills: Strong written and verbal communication with the ability to structure clear, concise, and meaningful communication. Critical Thinking & Problem-Solving: Strong analytical skills and the ability to think independently to solve complex problems. Eagerness to Learn: A passion for learning about new technologies in the IT industry, Data Science, and Machine Learning. Research Techniques Understanding: Robust understanding of primary and secondary research methods. What We Offer: Flexible Hybrid Work Environment: Flexibility to work virtually when productive and meet colleagues in person for engaging, purposeful collaboration. Professional Growth: Gartner offers world-class benefits, competitive compensation, and tremendous rewards for top performers. Inclusive Work Culture: Diverse teams from various backgrounds and an environment that values collaboration and team success. Recognition as a Top Workplace: Gartner is consistently recognized as a great place to work worldwide. Join Gartner and contribute to world-class insights while developing cutting-edge technologies in the data science domain. We offer opportunities to grow, thrive, and make an impact! Qualification : A fresher with a Master's in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, or Data Science. Alternatively, a B.E./B.Tech + Masters in Advanced Analytics or Data Science.

Job Description: Vice President, Operations - Index & Data Solutions About the Team: The Index & Data Solutions (IDS) team at BlackRock is responsible for shaping and executing the firm s data strategy, overseeing relationships with data providers, and ensuring the smooth administration of market data services. The Operations team within IDS is looking for an experienced Vice President to lead a high-performing group of market data professionals in streamlining processes, managing contracts, and collaborating with multiple stakeholders to deliver exceptional operational excellence. As Vice President, you will play a key role in overseeing end-to-end market data operations, from contract administration to invoicing and payment management. You will work closely with vendors, relationship managers, internal teams, and BlackRock s finance function to optimize data operations, drive process improvements, and ensure the firm s market data needs are met efficiently and accurately. The ideal candidate will be a strategic and hands-on leader, passionate about performance, with experience in invoice operations management and process transformation. You should be comfortable interacting with senior internal and external stakeholders and possess strong problem-solving and data management skills. Key Responsibilities: Invoice Validation & Reconciliation: Review and validate invoices against the internal inventory of market data services. Research and resolve discrepancies to ensure accurate and timely invoice processing. Actively follow up with vendors and internal teams to resolve issues and ensure timely resolution. Financial Reporting & Analytics: Prepare reconciliations to explain differences between internal service inventories and vendor invoices. Develop and maintain accurate reports on index and market data usage for providers. Prepare financial analytics and reports for internal stakeholders to aid in decision-making. Process Improvement & Optimization: Identify opportunities for streamlining invoicing and data management processes. Use data insights to drive improvements and optimize operational efficiency. Contribute to the development of quality controls and continuous improvements in operational processes. Vendor & Stakeholder Management: Act as a key point of contact for invoice and payment-related inquiries from vendors and internal teams. Develop and maintain strong relationships with external data providers to ensure smooth contract administration and service delivery. Partner with BlackRock's Finance team to manage market data budget accruals and ensure accurate financial reporting. Team Leadership & Development: Lead and mentor a team of market data professionals, fostering a high-performance culture. Support the team in their growth, development, and delivery of market data solutions. Requirements: Experience: 5-8 years of experience in market data operations, invoice validation, or reconciliation. Proven track record of optimizing operational processes and implementing quality controls. Educational Background: Degree in Business, Commerce, or a related field. Technical & Analytical Skills: Proficiency in Excel and Microsoft Access; advanced skills preferred. Basic knowledge of financial markets and market data services. Strong analytical and problem-solving skills with an ability to translate complex issues into actionable solutions. Communication & Leadership: Excellent oral and written communication skills, with the ability to interact effectively with senior stakeholders. A self-starter attitude with strong organizational skills and the ability to handle multiple priorities while maintaining composure. Proven ability to lead and contribute to team performance in an inclusive and diverse environment. Our Benefits: To ensure you remain energized and inspired, we offer an array of benefits that include: Strong Retirement Plan and comprehensive healthcare options. Tuition Reimbursement to support your ongoing learning. Flexible Time Off (FTO), allowing you to recharge and spend time with loved ones. Support for working parents, including various family-related benefits. Our Hybrid Work Model: At BlackRock, our hybrid work model fosters collaboration and personal development. Employees are required to work in the office at least 4 days a week, with flexibility to work from home 1 day a week. This approach ensures effective team collaboration while offering flexibility in your work-life balance. About BlackRock: At BlackRock, our mission is to help people experience financial well-being by offering innovative investment solutions. We are committed to helping individuals achieve their financial goals from saving for retirement to funding education, buying homes, or starting businesses. Our clients investments play a crucial role in driving global economic growth, supporting businesses, financing infrastructure, and fostering innovation. Join us in making a difference in the world of finance and be part of an industry-leading firm.

Job Title: Data Analyst Department: S&P Global Commodity Insights About the Team: S&P Global Commodity Insights delivers essential intelligence for global commodity markets, ensuring data accuracy, consistency, and accessibility while driving innovation through advanced technologies and modern data management practices. As part of this team, you will play a pivotal role in shaping the future of commodity data and analytics in an evolving and dynamic environment. The Role: As a Data Analyst, you will be responsible for comprehensive data management, analysis, and project coordination. This includes gathering, cleaning, and organizing data from diverse sources such as Salesforce, Oracle, and Zuora, as well as performing analytical assessments and preparing impactful visualizations and reports for internal and external stakeholders. You will also support process optimization, quality assurance, and documentation management, collaborating closely with cross-functional teams to ensure alignment with business objectives. Key Responsibilities: Project Coordination and Administrative Support: Plan, organize, and track project timelines, deliverables, and milestones to ensure deadlines are consistently met. Lead cross-functional teams, clearly communicating project objectives, responsibilities, and expectations. Prepare meeting agendas, project status reports, and provide administrative support for project management processes. Data Management and Analysis: Collect and manage data from multiple sources, including Salesforce, Oracle, and Zuora, ensuring accuracy and completeness. Collaborate with Data Leads to align deployment schedules and project timelines. Work closely with the Data Management team to enforce data quality standards and processes related to ERP deployments, projects, and system enhancements. Deliver data analysis, design, and implementation tasks in accordance with agreed service levels (SLAs). Develop data visualizations and reports for internal teams and client presentations, effectively translating data into actionable insights. Identify process improvement opportunities through data analysis and recommend optimization strategies. Business Process Support: Partner with cross-functional teams to develop and support data-driven initiatives that align with business goals. Document process flows and contribute to change management efforts. Serve as a primary contact for key stakeholders, providing timely updates on project progress, risks, and outcomes. Quality Assurance: Review project deliverables to ensure they meet quality standards and client expectations. Conduct peer reviews of documents, presentations, and reports to ensure accuracy, consistency, and adherence to guidelines. Implement data validation processes to ensure data reliability and quality. Documentation Management: Maintain and standardize project-related documents to ensure accuracy and consistency across all materials. Organize and manage a well-structured repository of internal and client-facing documents, ensuring accessibility and version control. Qualifications & Skills: Basic Qualifications: Bachelor s degree in Business, Economics, Engineering, Computer Science, or a related field. 5-7 years of experience in a data analysis or project coordination role, preferably in a consulting or similar environment. Proficiency in Microsoft Office Suite, especially Excel, PowerPoint, and Word. Experience working with data management tools and technologies, along with strong analytical skills to interpret complex datasets. Detail-oriented mindset with a strong focus on data accuracy and process integrity. Excellent communication and leadership skills to effectively collaborate with cross-functional teams and stakeholders. Strong time management skills, with the ability to thrive in a fast-paced, deadline-driven environment. Preferred Qualifications: Familiarity with platforms such as Salesforce, Marketo, Oracle, Zuora, Snowflake, Databricks, Amazon Redshift, and Informatica. Experience working in Agile environments with a focus on Lean principles. Professional certifications such as: Salesforce Administrator or Business Analyst Lean Six Sigma PMP or PRINCE2 Certified Scrum Master About S&P Global Commodity Insights: At S&P Global Commodity Insights, we provide comprehensive intelligence and expert insights across global energy and commodity markets. Our trusted data and analysis empower customers to make informed decisions with confidence and create long-term value in an increasingly complex and rapidly evolving global landscape. We serve as a critical link, bringing together market participants, governments, regulators, and industry experts to co-create solutions that drive progress and support the energy transition. Our coverage spans oil and gas, power, chemicals, metals, agriculture, and shipping, offering a complete and integrated view of the commodities ecosystem. S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI), the world s leading provider of credit ratings, benchmarks, analytics, and workflow solutions across capital, commodity, and automotive markets. Through our innovative products and services, we help organizations navigate today s challenges while planning for a successful future. Qualification : Bachelors degree in Business, Economics, Engineering, Computer Science, or a related field.

Job Title: Client Financial Management Manager Skill Required: Client Financial Management - Financial Analysis Experience: 13 to 18 Years Location: Gurgaon Education: Master of Business Administration (MBA), CA, CMA, or MBA in FP&A About Accenture Accenture is a global professional services company with expertise in digital, cloud, and security. With unmatched experience and specialized skills across 40+ industries, we provide Strategy & Consulting, Technology & Operations, and Accenture Song services powered by the world s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000+ professionals serve clients in 120+ countries, driving business transformation through technology and human ingenuity. Visit us at www.accenture.com About the Role As a Client Financial Management (CFM) Manager, you will play a critical role in financial planning, budgeting, forecasting, and contract P&L management. You will work closely with senior management to enhance financial strategies and drive profitability optimization. You will also be responsible for finance transformation initiatives, leveraging automation, AI-driven analytics, and machine learning to improve financial function performance. Key Responsibilities Financial Management: Oversee budgeting, forecasting, contract P&L management, and financial advisory services. Strategic Financial Analysis: Design and implement tools and processes for financial assessment, volatility analysis, and key financial metrics. Profitability Optimization: Evaluate cost to serve, pricing strategies, and financial consolidation for improved efficiency. Decision-Making & Advisory: Provide insights and recommendations to client and corporate leadership teams. Process Transformation: Drive finance transformation initiatives using automation and AI-driven analytics. Stakeholder Engagement: Collaborate with senior management and external stakeholders to align financial strategies with business goals. Team Leadership: Manage large to medium-sized teams or work as an individual contributor on complex financial projects. Expertise in Financial Planning & Analysis (FP&A) Strong Budgeting & Forecasting skills Experience in Cost to Serve & Pricing Optimization Financial Consolidation & Close Operations expertise Ability to manage multiple stakeholders and influence decision-making Strong analytical, communication, and leadership skills Adaptability and flexibility in a dynamic work environment Work with global clients and senior leadership on high-impact financial strategies. Leverage cutting-edge financial technologies (AI, automation, machine learning). Be part of a dynamic Finance Operations team driving innovation. Enjoy career growth opportunities in a leading global organization. Location: Gurgaon Shift Requirement: May require rotational shifts