Data Visualization Jobs in Gurgaon

Category: Administrative Staff Type: Full Time Location: Medanta, Gurugram Job Description: Data Analysis: Collect, clean, and analyze inventory and store data to identify trends, variances, and operational inefficiencies. Develop data models, reports, and dashboards that provide actionable insights into stock levels, order patterns, and consumption rates. Collaborate closely with inventory, procurement, and supply chain teams to enhance forecasting and stock replenishment strategies. Utilize data visualization tools such as Excel, Power BI, and PowerPoint to present complex data clearly and effectively. Coordinate with the IT team to develop automated reporting tools. Auditing: Conduct audits on inventory records, store transactions, and stock management processes to ensure compliance with company policies. Perform physical stock verifications and reconcile discrepancies with system records. Assess internal controls, risk management practices, and the effectiveness of store and inventory operations. Prepare detailed audit reports with actionable recommendations to mitigate risks and improve accuracy. Ensure timely follow-up on audit action plans and report progress to management. MIS Preparation and Reporting: Develop and maintain comprehensive MIS reports to track key performance indicators (KPIs) related to inventory and store management. Prepare daily, weekly, and monthly performance and inventory status reports. Provide insights and recommendations to senior management based on MIS data analysis to support strategic decision-making. Design custom reports and templates to better monitor inventory movement and storage efficiency. Ensure timely dissemination of reports and data insights to relevant stakeholders. Qualifications: Bachelor s degree in any field. Proven experience (1-3 years) in data analysis, auditing, and MIS reporting preferably in inventory or supply chain management. Proficiency in data analysis tools and ERP systems such as Excel, SAP, and Power BI. Basic knowledge of inventory management and control processes. Strong analytical, problem-solving, and communication skills. Qualification : Bachelors degree in any field.

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.

Growth Analyst Location: Gurugram, India Employment Type: Full-time About ixigo ixigo is a technology company revolutionizing the way Indian travelers plan, book, and manage their trips. Founded in 2007 by Aloke Bajpai and Rajnish Kumar, ixigo helps travelers make smarter decisions through AI, machine learning, and data science. With apps like ixigo, ConfirmTkt, and AbhiBus, ixigo offers travelers the ability to book train, flight, bus tickets, hotels, and much more. In 2022, ixigo was named one of the Top 10 Most Downloaded Travel Apps worldwide (data.ai). Headquartered in Gurugram, ixigo also has offices in Bangalore (ConfirmTkt) and Hyderabad (AbhiBus). Job Description We are looking for a Growth Analyst to join our dynamic team. As a Growth Analyst, you will help us unlock growth opportunities by analyzing customer behavior and campaign performance. You will collaborate closely with marketing, product, and data teams to develop data-driven strategies that drive user acquisition, activation, retention, and revenue growth. Your work will directly impact how we scale smarter and faster. Key Responsibilities Data Analysis & Insights: Analyze user behavior, campaign performance, and funnel metrics to identify and drive growth opportunities. Reporting & Dashboards: Build and maintain dashboards and reports using BI tools (e.g., Tableau, Power BI, Looker) to track key performance indicators (KPIs). Data Querying & Processing: Develop SQL queries to extract, clean, and aggregate data from various sources and databases. A/B Testing & Experimentation: Design and run A/B tests and experiments to evaluate new growth initiatives and optimize performance across all user touchpoints. Strategic Collaboration: Work closely with marketing and product teams to design data-driven growth strategies that increase customer acquisition, activation, retention, and lifetime value (LTV). Campaign Measurement & Optimization: Support the measurement of paid and organic campaigns (including email, search, social media) and provide actionable insights to improve their effectiveness. Core Technical Skills SQL & Relational Databases: Advanced querying skills, performance tuning, working with window functions and CTEs. Data Visualization & BI: Proficiency in tools like Tableau, Power BI, or Looker for building dashboards and reports. Spreadsheet Modeling: Expert-level proficiency in Excel (pivot tables, macros; VBA is a plus). Scripting Languages: Familiarity with at least one scripting language (e.g., Python or R) for data cleaning, ETL tasks, and basic machine learning prototypes. Marketing Analytics Tools: Hands-on experience with Clevertap and Firebase for user engagement and campaign tracking. Good to Have Marketing Analytics Tools: Experience with tools like Google Analytics 4, Mixpanel, and Clevertap for campaign performance tracking. Ad Platforms: Basic understanding of programmatic ad platforms (e.g., DV360, Meta Ads API). Data Warehouses: Exposure to SQL-based data warehouses like Snowflake, BigQuery, or Redshift. Impactful Work: Directly contribute to the growth and success of a leading travel tech company. Collaborative Culture: Work with talented professionals across diverse teams. Career Growth: Opportunities for fast-paced career development. Competitive Compensation: Enjoy a competitive salary and benefits package. Work-Life Balance: We encourage a healthy work-life balance in a supportive environment.

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 KPMG in India KPMG in India is a leading professional services firm, a member of KPMG International Limited. Established in August 1993, KPMG India is known for delivering high-quality services, supported by our global network and in-depth knowledge of local regulations, markets, and competition. With offices across key cities such as Ahmedabad, Bengaluru, Chennai, Gurugram, Hyderabad, Mumbai, Noida, and more, we provide comprehensive services to national and international clients across diverse sectors. We focus on offering industry-specific, technology-driven solutions that are rapid, performance-oriented, and rooted in our deep understanding of both global and Indian business landscapes. About Lighthouse Lighthouse, KPMG's Big Data, AI & Analytics practice, specializes in providing advanced solutions in Data Engineering, Data Science, Data Visualization, and Process Analytics. With a strong industry focus, we drive innovation and deliver transformative results for our clients. Role Overview We are seeking a skilled professional to join our team, where you will play a key role in designing, developing, and implementing enterprise-level applications using Snowflake. The role will involve working with cutting-edge data technologies to ensure the efficient flow, processing, and visualization of data. Key Responsibilities Design and Develop Snowflake Solutions: Build and deploy enterprise-scale applications leveraging Snowflake, optimizing for both performance and scalability. Create and Manage Data Pipelines: Use DBT to develop, test, and deploy data pipelines ensuring seamless data flow and processing. SQL Query Optimization: Develop and fine-tune SQL queries to enhance performance and scalability of applications. Security & Access Management: Implement identity and access management features and create robust authorization frameworks to ensure secure access controls. Troubleshoot Performance Issues: Address and resolve performance and scalability challenges within the Snowflake environment. Collaborative Solutions Development: Work closely with data engineers, analysts, and business stakeholders to understand requirements and deliver data-driven solutions. Maintenance & Improvement: Maintain and optimize existing Snowflake infrastructure and processes to ensure continued efficiency. Stay Updated: Continuously improve skills and knowledge by staying abreast of new Snowflake features and industry best practices. Qualifications Educational Requirements: BE/B.Tech/ME/M.Tech/MCA or any relevant degree. Equal Opportunity Employment (EOE) KPMG India is committed to providing equal employment opportunities to all applicants and employees, regardless of color, caste, religion, gender, age, national origin, citizenship, sexual orientation, gender identity or expression, disability, or other legally protected status. We embrace diversity and encourage you to voluntarily submit demographic details to help us in our diversity initiatives. Please note that submitting this information is entirely voluntary and will not affect your application in any way. Qualification : BE/B.Tech/ME/M.Tech/MCA or any relevant degree.

About KPMG in India KPMG in India is a professional services firm, affiliated with KPMG International Limited. Established in August 1993, KPMG India leverages its global network of firms while being deeply knowledgeable about local laws, regulations, markets, and competition. We have offices across India in cities including Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada. Our services cater to both national and international clients across various sectors. We are committed to providing rapid, performance-oriented, industry-focused, and technology-enabled services that combine a deep understanding of both global and local industries, along with our extensive experience in the Indian business environment. Role: Snowflake + AWS Expertise Job Description: This role involves working with Snowflake and AWS platforms, focusing on providing scalable, high-performance solutions. The ideal candidate will help deliver industry-leading data solutions by leveraging these powerful platforms. Equal Employment Opportunity (EEO) Information KPMG India is an equal opportunity employer, committed to providing opportunities to all applicants and employees, regardless of color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability, or any other legally protected status. We value diversity and encourage you to voluntarily submit demographic information to help us with our diversity efforts. Please note that providing this information is optional and will not affect your application in any way. Qualifications: Educational Requirements: B.E. or equivalent degree. Qualification : B.E. or equivalent degree.

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: We are seeking a Data Engineer experience in data and analytics, proficient in big data technologies, data architecture, and customer-focused solutions. The ideal candidate will design and implement data pipelines, data lakes, and visualization solutions to create business value. Software Requirements: AWS Redshift Kubernetes Spark Python SQL DBT Dataiku Overall Responsibilities: Design and implement data pipelines, data lakes, and visualization solutions to create business value. Develop and maintain big data solutions using technologies like AWS Redshift, Kubernetes, Spark, Python, SQL, DBT, and Dataiku. Apply best practices in data architecture, modeling, and metadata management. Analyze and troubleshoot complex data issues, ensuring timely resolution. Collaborate with stakeholders to understand data requirements and deliver customer-focused solutions. Category-wise Technical Skills: Big Data Technologies: Proficiency in AWS Redshift, Kubernetes, Spark, Python, complex SQL, DBT, and Dataiku. Data Architecture & Modeling: Strong understanding of data architecture, modeling, and metadata management. Experience in designing and managing data pipelines and data lakes. Data Analysis & Troubleshooting: Excellent data analytical and troubleshooting skills. Ability to analyze and resolve complex data issues in a timely manner. Experience: 6-8 years of experience in data and analytics. Proven track record of developing and maintaining big data solutions. Day-to-Day Activity: Design, develop, and implement data pipelines and data lakes. Maintain and optimize big data solutions using various technologies. Apply best practices in data architecture and modeling. Analyze and troubleshoot data issues to ensure data integrity and availability. Collaborate with stakeholders to gather requirements and deliver data solutions. Stay updated with emerging trends in data and analytics. Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Relevant certifications in big data technologies and data engineering are a plus. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Customer-focused approach with the ability to understand and meet stakeholder needs. Attention to detail and strong organizational skills. Ability to work independently and as part of a team. S YNECHRON S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. Qualification : Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.

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.

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.

BlackRock - Microsoft Dynamics Engineer About the Team The Dynamics Solution Center team s mission is to create best-in-class experiences for our business users by providing a reliable and effective service in developing and supporting the use of the MS Dynamics platform. Role Overview We are looking for a Microsoft Dynamics Engineer to design, develop, and customize Microsoft Dynamics 365 for BlackRock s Sales and Service teams, and their partner teams. Primary Responsibilities Customization and Configuration: Assist in customizing and configuring Microsoft Dynamics 365 modules to meet business requirements. Help develop and maintain custom entities, workflows, and business rules. Support the creation and modification of forms, views, and dashboards. Integration and Data Migration: Assist in integrating Microsoft Dynamics 365 with other systems (e.g., SharePoint, Power BI, Azure). Collaborate with Aladdin Engineering on integrations. Support data migration from legacy systems to Dynamics 365. Development and Extensions: Assist in developing extensions using Power Platform (PowerApps, Power Automate, Power BI). May need to write custom code (JavaScript, C#, .NET) to enhance functionality. Collaborate with senior developers on complex projects. Support and Troubleshooting: Provide technical support to end-users and help resolve issues related to Dynamics 365. Assist in debugging and troubleshooting system errors and performance bottlenecks. Collaboration and Documentation: Work closely with business analysts, project managers, and stakeholders to gather requirements. Help document technical specifications, solution designs, and code changes. Essential Skills / Experience Minimum of 2+ years experience in a technical role and 1+ years experience with Dynamics 365 and/or Power Platform engineering. Basic technical skills covering Power Automate & Power Apps. Experience in customization and configuration is a plus. Familiarity with building and deploying solutions in Microsoft Dynamics and the Power Platform. Basic understanding of D365 Sales and Customer Services applications. Understanding or experience in writing code in JavaScript, C#, or .NET is a benefit. Good written and verbal communication skills and the ability to gain buy-in from a non-technical audience at varying degrees of seniority. Positive attitude and resilience, with strong problem-solving skills. Ability to work effectively with cross-functional teams. 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, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our Hybrid Work Model BlackRock s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.

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 Description Join us as a Markets Data Management Analyst In this role, you ll work on the static setup and maintenance of clients and standard settlement instructions. As a Markets Data Management Analyst, we ll expect you to act as a point of contact for queries, requests, and the facilitation of onboarding and trade execution for clients. You ll be working in partnership with internal and external stakeholders, allowing you to hone your communication skills and gain great exposure for your work. We're offering this role at senior analyst level. What you'll do You ll make sure that clear and unambiguous roles and responsibilities are agreed and seek out opportunities to engage with new and existing functions and learn new skills. We ll look to you to make sure that your stakeholders fully understand the global reference data strategy and agenda. And, you ll be managing the expectations of internal support functions with insight into client requirements and the development of business. Your responsibilities will include: Maintaining an understanding of the front-to-back client life cycle. Suggesting areas of improvement for daily processing and escalating these appropriately. Formulating plans that are delivered in line with agreed risk, cost, and time requirements. Acting as a point of contact for static data queries and requests. Driving the development, implementation, and regular review of policies and procedures and ensuring colleagues have adequate awareness and training. The skills you'll need We ll expect you to have strong experience in the financial services industry, with a specialism in reference data, client onboarding, or client exits. You ll need to have excellent analytical skills, with a structured and methodical approach when investigating data issues. Crucially, you ll have the ability to thrive in a fast-paced and rapidly evolving environment. You ll also need: Excellent communication and presentation skills. Strong interpersonal skills with the ability to build, maintain, and enhance relationships at all levels. Good Microsoft Office Excel, Word, and PowerPoint skills.

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.

Position: Advanced Data Analytics - Single Security (Credit Focus) Job Overview: At BlackRock, technology and innovation are essential to delivering world-class financial solutions. The Advanced Data Analytics team within Aladdin Financial Engineering (AFE) is focused on developing the next generation of data content and governance solutions for single security analysis, specifically in the Credit space. This role offers the opportunity to work with cutting-edge technologies to deliver impactful analytics in Mortgage, Structured & Credit Products. About Aladdin Financial Engineering (AFE): Join a team of over 300 modelers and technologists in AFE within BlackRock Solutions, responsible for research and development of Aladdin s financial models. AFE spans a wide range of financial products and provides investment insights to portfolio and risk management professionals. The models developed and supported by AFE cover equities, fixed income, commodities, derivatives, and private markets. Role Description: The Advanced Data Analytics team within AFE Single Security is responsible for building and maintaining data content in the Credit space. The team uses emerging technologies and statistical/mathematical methodologies to create predictive models and classification solutions. As a member of this team, you will focus on: Building and enhancing Credit Derived Data Content. Ensuring robust Model & Data Governance practices. Developing and maintaining Credit Model & Analytics solutions. Experience/Qualifications/Skills: Experience with Scala programming. Knowledge of ETL, data curation, and analytical jobs using distributed computing frameworks like Spark. Experience working with large enterprise databases such as Snowflake, Cassandra, and cloud-managed services like Dataproc and Databricks. Familiarity with financial instruments such as Corporate Bonds and Derivatives. Knowledge of regression methodologies and building tools for Data Governance. Python knowledge is a plus. Qualifications: Bachelor s or Master s degree in Computer Science, Math, Economics, or a related field. 3-6 years of relevant experience in data analytics and financial products. 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 enables a culture of 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. Certain business groups may require more time in the office due to their roles. 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. By investing in our employees, we create a supportive environment where everyone can thrive professionally and personally, with ample opportunities for growth and development. Qualification : Bachelors/master's in computer science with a majorin Math, Econ, or related field

Position: Alpha Gen Product Engineer Job Overview: At BlackRock, we are seeking Software Engineers who thrive in innovative environments and enjoy solving complex challenges. This is an opportunity to work with cutting-edge technology and impact the financial markets through our Aladdin investment operating system, which powers decision-making for thousands of users worldwide. The Alpha Gen Technology group (AGT) is focused on enabling market-leading performance for BlackRock's investment teams. Join a team of innovators to work on next-generation technology in the quantitative and investment space. About Aladdin and Aladdin Engineering: Aladdin is BlackRock s investment operating system, used by financial institutions worldwide. It integrates sophisticated risk analytics, portfolio management, trading, and operations tools into one platform. The Aladdin Engineering group develops and maintains this platform, building tools that manage trillions in assets and support millions of financial instruments. Your Role and Impact: As an Alpha Product Engineer in the Alpha Gen Platform team, you will develop a cloud-first platform used for both quantitative research and production systems. You will be involved in the full lifecycle of the platform, from design and architecture to development, implementation, production support, and maintenance. Your Responsibilities: Build a groundbreaking, high-quality Alpha Gen platform to meet the data and quantitative needs of research and production. Prototype new alpha-enabling technology. Migrate large amounts of critical data to cloud-native data stores like Snowflake and Azure Blob Storage. Understand and address scale challenges in data access and persistence in ingestion pipelines. Work with modern data lakes, structured file formats, containers, and orchestration ecosystems. Partner with other engineering teams at BlackRock to integrate with Aladdin. Qualifications and Skills: 8+ years of proven experience in software engineering. Excellent coding skills in Python; knowledge of Scala or Java is a plus. Experience with distributed technologies like Spark, Dask, or Kubernetes. Desire to build expertise in cloud-native technologies and applications deployed to cloud infrastructure. Familiarity with agile practices, test automation, pipelines, release management, and deployment strategies. Good understanding of the modern data ecosystem Snowflake, Apache Iceberg, Parquet formats, object stores (S3, Azure Blob Storage), and orchestration systems (Airflow, Prefect). A curiosity and passion to learn new technologies. Strong interpersonal skills to work effectively in a collaborative team environment. A deep understanding of the modern data and quantitative ecosystem. How to build a platform that enables alpha generation at scale. Experience with Aladdin the investment platform used to manage over $15 trillion in global assets. How to apply enterprise integration patterns and data science technology to enable alpha generation. 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 supports collaboration while offering flexibility. Employees are required to work at least 4 days in the office per week, with the option to work from home 1 day a week. Some business groups may require more time in the office. About BlackRock: BlackRock is dedicated to helping people experience financial well-being. Our clients rely on us to support their financial goals, including saving for retirement, funding education, and growing their businesses. We invest in our employees by fostering an environment where they feel welcomed, valued, and supported with networks, benefits, and development opportunities to thrive.

Position: Aladdin Data Client Experience (BCX) Team Member Overview: BlackRock Aladdin Data is responsible for maintaining data critical to the investment decision-making process for BlackRock and its proprietary Aladdin end-to-end investment platform. The team collaborates closely with Portfolio Management, Global Capital Markets, Relationship Management, Portfolio Compliance, Risk Analytics, Regulatory Reporting, and others to meet their data needs accurately, timely, and efficiently. BlackRock Aladdin Data operates under BlackRock s key principles: Innovation, Fiduciary focus, Passion for Performance, Emotional Ownership, and the unified purpose of One BlackRock. This philosophy is focused on creating value by understanding clients' needs and utilizing technology to develop innovative solutions. Key Responsibilities: Main Point of Contact: Serve as the subject matter expert in risk, returns, and attribution analytics for internal clients. Client Engagement: Conduct regular meetings with internal clients and ensure positive client sentiment. Project Leadership: Lead complex analytical projects, providing regular updates to senior internal and external partners. Optimization Efforts: Collaborate with internal partners to drive GP optimization efforts. Solution Development: Work with Aladdin Data Partners to build and implement solutions for custom processes. Reporting: Run client partner meetings to present Green Package Health, thematic issue analysis, and Aladdin Data service metrics. Knowledge/Experience: Bachelor s degree (or equivalent experience) in Finance, Economics, or a related field. 3+ years of proven experience in financial services with knowledge of markets, technology, operations, or business management. Strong communication skills with the ability to present complex concepts clearly to diverse audiences. Knowledge of financial products in Fixed Income, Equities, and Derivatives; familiarity with risk analytics such as Durations, Spreads, Beta, and VaR is a plus. Demonstrated project management and leadership skills in delivering large, complex projects. Proficiency in SQL, Linux, Unix. Strong interpersonal and time management skills with the ability to thrive in a fast-paced environment. High attention to detail. Our Benefits: We offer a range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents, and Flexible Time Off (FTO) to help you relax, recharge, and take care of your loved ones. Our Hybrid Work Model: BlackRock s hybrid work model enables collaboration while supporting flexibility. Employees are required to work at least 4 days in the office per week, with 1 day working remotely. Some business groups may require more in-office presence due to role responsibilities. This hybrid model is designed to accelerate your learning and onboarding experience. About BlackRock: At BlackRock, we help people experience financial well-being by supporting their retirement, education, home purchases, and business ventures. The investments made by our clients strengthen the global economy, supporting businesses, infrastructure projects, and innovations. This mission is made possible by our investment in employees. We create an environment where colleagues feel welcomed, valued, and supported with networks, benefits, and development opportunities. Qualification : Bachelors degree or equivalent experience in Finance, Economics or related field is desired.

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