Power BI 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.

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.

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.

Your Impact In this role, you will be integral in supporting team members, consultants, and clients with requests and engagements within your area of expertise. You will tackle complex challenges faced by leading life sciences companies, particularly in pharmaceutical operations such as manufacturing networks, external supply management, and supply chain optimization. You will also delve into the evolving impact of digital and automation technologies in these domains. Additionally, you will develop a well-rounded understanding of industry and economic trends to establish a strong area of expertise in life sciences. You'll work closely with Life Sciences Operations leaders on key initiatives and leadership objectives, such as preparing practice qualification materials and assisting in leadership meetings. Your contributions will help project teams navigate industry trends, key players, and research challenges. Using your knowledge, you will help codify best practices and develop new research products, such as fact packs, summary perspectives, and analytical reports. Your work will include developing benchmarking tools and producing high-quality, client-ready deliverables that are comprehensive, well-organized, and insightful. As you progress, you'll also mentor new team members, fostering their professional growth, and contributing to the success of the knowledge management team. You will build strong communities across various practices and offices, and create strong connections with knowledge professionals in other units as well as consultants across the firm. Your Growth Based in our Gurugram office, you will be a part of the Life Sciences Intelligence team in India, embedded within our Life Sciences Practice. As part of our global knowledge network, you will collaborate with over 100 professionals based in key hubs such as Waltham, New Jersey, Brazil, London, Brussels, Poland, Lisbon, India, Japan, and China. In this role, you'll collaborate with fellow team members, consultants, and clients to drive impactful projects. You ll work across multiple industry and functional areas to generate unique insights, enhance capabilities, and deliver the best of our firm s expertise to clients. Your Qualifications and Skills A degree in Pharmacy/Biotech, an MBA, M.S. (Pharmacy), or M.Tech (Biotech) is preferred. A minimum of 2 years of experience in Indian pharmaceutical operations, consulting, or industry, particularly in areas like supply chain, manufacturing, quality, and procurement. Strong understanding of economic, financial, and business concepts. Proficiency in IT tools, including Excel, Word, PowerPoint, and basic business software. Analytical skills with knowledge of tools such as SAS, SPSS, Alteryx, and Tableau (a plus). Ability to structure and solve ambiguous problems. Adaptability in a dynamic, fast-evolving environment. Comfort working within diverse teams to craft optimal solutions and drive action. Ability to build and maintain trust-based relationships with colleagues and clients. Qualification : A degree in Pharmacy/Biotech, an MBA, M.S. (Pharmacy), or M.Tech (Biotech) is preferred.

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.

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.

About the role: The Sales Business Analyst role is responsible for providing timely reporting and insight on the regional sales data and activities. Directly supporting a dedicated sales region and leadership team you will drive the development and implementation of our sales analytics and data strategy, while identifying trends and recommend solutions or processes to enable sales effectiveness. Our goal is to increase our analytical capabilities and drive actionable insight against our Sales business priorities. What you will do: Act as a strategic partner to our senior sales leaders while becoming an expert on the assigned regions performance, key metrics and top initiatives. Become a subject matter expert across our online tools, reports and dashboards. Providing training and support to ensure sales understanding and best practice adherence. Provide proactive, timely and actionable analytics, with a focus on improving sales productivity highlighting trends and other key indicators across the sales region. Manage month and quarter end processes ensuing all business is transacted and accurate. Communicate sales processes, operational updates and best practices within the region, play an active role in Ops reviews & team meetings presenting key findings. Enhance our capability to analyze and make sense of large data sets, presenting findings in a visually appealing manner that tells a data driven story to drive decision making. Design, Develop and support various daily, weekly, monthly reporting. Driving best practice sharing across the SBA team and each sales region. What you will need: Bachelor s degree is required; Masters or advanced degree a plus 4+ years of working experience, preferable working in data analytics and visualization, business intelligence, or analytical consulting. Exceptional Excel, PowerPoint skills Proficiency in data visualization tools (e.g. Tableau, Power Bi) Attention to detail & accuracy Strong communication and presentation skills Experience and aptitude to work with different data sources with strong analytical skills and experience. Ability to solve complex problems and successfully manage ambiguity and unexpected change Comfortable to partner, influence and build a trust-based, value-added relationships with senior sales leaders Excellent oral and written communication skills Outstanding organizational skills with the ability to multitask, prioritize and meet deadlines. Ability to work independently and with little direction, a self-starter. What you will get: Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) Collaborative, team-oriented culture that embraces diversity. Professional development and unlimited growth opportunities. Qualification : Bachelors degree is required; Masters or advanced degree a plus

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.

Job Title: Program & Strategy Manager CEO s Office Location: Gurugram, Haryana, India (Onsite, Full-Time) Experience: 3+ Years | Department: CEO s Office / Strategic Initiatives About Spyne At Spyne, we are redefining how cars are marketed and sold using cutting-edge Generative AI. What began as a bold idea to automate car visuals has evolved into a full-scale, AI-powered automotive retail ecosystem. We are backed by $16M in Series A funding from Vertex Ventures, Accel, and other top investors. In the last 15 months alone, we've expanded into the US and EU, launched industry-first AI image and 360 solutions, and achieved a 5x revenue surge with even greater growth ahead. Now, we re building a complete AI Retail Suite and scaling our footprint to 150K+ dealerships globally. Role Overview As a Program & Strategy Manager, you will work directly with the CEO s Office to lead and drive the adoption of Agentic AI (autonomous, goal-driven AI systems) across the organization. This includes Product, Engineering, Sales, Marketing, HR, Finance, Customer Success, and more. You ll be responsible for managing high-impact programs that integrate AI-driven automation into our operations, while also supporting strategic initiatives that align with Spyne s rapid growth and vision. What You ll Do Agentic AI Transformation Lead company-wide adoption of Agentic AI systems across key business functions Drive automation using tools like GPT-based agents, RPA, no-code AI platforms, and AutoML Define metrics to track AI-driven efficiency and performance improvements Work closely with Data & Engineering teams to integrate AI into existing workflows Conduct internal workshops to upskill teams on AI tools and practices Strategic Program Management Develop and execute strategic initiatives aligned with overall business objectives Own cross-functional programs focused on revenue growth, operational efficiency, and customer acquisition Track key business KPIs and ensure timely execution of high-impact priorities Support leadership with executive presentations, investor updates, and business reviews Work directly with the CEO on mission-critical business priorities Stakeholder & Team Collaboration Serve as the liaison between the CEO s office and all functional leaders Manage relationships with key AI vendors and partners (OpenAI, Microsoft, etc.) Enable adoption of AI across departments through communication and change management Build internal tools and dashboards for strategic visibility and impact tracking Experience & Background 3+ years in Program Management, Product Strategy, Business Ops, or similar roles Proven track record in managing cross-functional, strategic initiatives Strong experience in analytics (Excel, SQL, BI tools like Tableau, Looker, or Power BI) Technical Acumen Basic familiarity with LLMs and AI tools (OpenAI, Hugging Face, Anthropic, etc.) Ability to collaborate with AI/ML engineering teams and understand core technical concepts Strong understanding of business process automation and digital transformation Soft Skills Excellent communication and stakeholder management skills Strategic thinker with strong problem-solving abilities High ownership mindset and the ability to thrive in fast-paced, high-growth environments Why Join Spyne At Spyne, we re not just building AI products we re building the future of work. You ll be part of a driven, high-performance team in a company where speed, innovation, and ownership define our culture. What You ll Get: Opportunity to work directly with leadership on strategic initiatives Comprehensive health insurance (GMC, GPA, GTLI) Career growth with leadership exposure and equity options for top performers Office-first, high-energy environment that encourages real-time collaboration A young, driven team (average age: 25 26) working alongside seasoned professionals Our Values Customer Obsession: Every initiative is measured by the value it brings to customers Speed Over Perfection: Fast execution is key learn and iterate quickly Extreme Ownership: Own the outcomes, not just the process 10x Innovation: Think bigger and solve at scale A-Team Standards: We hire top talent and enable them to grow fast

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.

Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 3-6 Years About FinBox: Where Fintech Meets Fun! Welcome to FinBox, where technology, innovation, and creativity meet to revolutionize financial services. Since our inception in 2017, we've been on a mission to transform the lending industry by helping lenders like Banks, NBFCs, and enterprises launch credit products faster than ever before. As a Series A funded company, we are growing rapidly with offices in India, Vietnam, Indonesia, and the Philippines. Our vision is to build world-class infrastructure for lending products that help banks and financial services companies scale globally. We've already helped customers disburse billions of dollars in both unsecured and secured credit, and our solutions are used by over 100 companies, impacting over 5 million customers monthly. Innovative Environment: We encourage creativity and experimentation, pushing the boundaries of what's possible in fintech. Impactful Work: Your contributions will directly impact the lives of millions, making credit more accessible. Growth Opportunities: As a growing Series A startup, we offer ample opportunities for professional development. Collaborative Culture: Join a diverse and supportive team that values different perspectives. Creative Thinkers: We love people who challenge the norm and bring fresh, out-of-the-box ideas. Customer Heroes: We need those who understand customer needs and go above and beyond to deliver exceptional experiences. Team Players: If you thrive in a collaborative environment and believe in the power of "we," you'll fit right in. How You'll Contribute to Our Data Science Team: Analyze structured and unstructured data to derive meaningful insights. Support predictive model development and statistical analyses to guide product decisions. Build dashboards and visualizations to monitor and report key business metrics. Assist in data gathering, pre-processing, and cleaning to maintain high-quality datasets. Conduct exploratory data analysis and hypothesis testing to enable data-driven decision-making. Automate reports and develop clear, effective data visualizations. Document data processes and findings in a structured, presentable format. Collaborate with cross-functional teams to translate business needs into actionable data-driven solutions. Apply foundational machine learning techniques, including regression analysis, clustering, and decision trees. Who You Are: Experience: 3+ years in data science, analytics, or a related field. Technical Skills: Strong proficiency in Python/R, SQL, and Excel for data manipulation and analysis. Visualization: Experience with tools like Tableau, Power BI, or similar for data visualization. Additional Skills: Familiarity with AWS, Git, and version control practices is a plus. Knowledge: Understanding of statistical concepts and basic machine learning models. Mindset: Eagerness to learn, experiment, and grow in a fast-paced, dynamic startup environment.

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 Title: Finance & Admin Business Analyst IBM Introduction As a Finance & Admin Business Analyst at IBM, you will play a crucial role in ensuring the profitable operations of one of the world's most recognized and respected technology companies. Your work will support IBM s continued innovation in Artificial Intelligence, Cloud Infrastructure, Cognitive Solutions, and Blockchain Technologies. If you thrive in a dynamic, collaborative workplace, IBM provides an environment where you will be challenged and inspired every day. If you enjoy solving complex financial challenges and bringing creative solutions to the table, there s no limit to what you can accomplish here. Your Role and Responsibilities As a Delivery Practitioner, you will be responsible for transaction processing in Accounts Payable and Accounts Receivable while ensuring compliance with IBM s financial standards. Key Responsibilities: Oversee General Ledger activities, including fixed assets, inter-company transactions, inventory, cash & bank, indirect tax, and accruals. Identify risks and opportunities related to revenue, costs, and profitability, and propose appropriate actions. Ensure compliance with client Service Level Agreements (SLAs) and maintain deadlines. Detect and resolve duplicate records and payment errors. Process vendor invoices efficiently and ensure accurate payments. Handle manual and automated payment requests, along with payment run verification. Manage Travel & Expense (T&E) claims, vendor statement reconciliations, and resolve duplicate payments. Provide support via calls and email follow-ups for financial queries. Required Technical and Professional Expertise 0-1 year of work experience in Finance & Accounting. Ability to handle order fulfillment, cash collection, and cash application. Strong skills in invoice verification, exception resolution, and reducing invoice aging. Knowledge of SOX compliance (e.g., document approvals before posting). Experience in expense management and payment processing. Ability to identify duplicate transactions and errors in financial records. Preferred Technical and Professional Expertise Proficiency in Microsoft Office (Excel, Word, Outlook) and familiarity with accounting terminologies. Experience handling queries via calls and emails. Ability to adapt to business transformations and follow standard procedures. A collaborative mindset with a problem-solving approach. Strong time management skills and ability to work under tight deadlines. Eagerness to learn and grow by attending educational workshops and industry training. Work in a collaborative and innovative environment. Gain hands-on experience with cutting-edge financial technologies. Build a career with continuous learning and development opportunities. Be part of a diverse and inclusive global workforce. At IBM, we value your unique skills and expertise. We encourage you to bring your best self to work and take your career to the next level!

About MongoDB MongoDB s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and leverage AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere on-premises or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, leading organizations like Samsung and Toyota trust MongoDB to build next-generation, AI-powered applications. We are seeking candidates based in Gurugram for our hybrid working model. Team Description The Order to Cash team operates globally across three locations: Dublin, Ireland; Austin, TX; and Gurugram, India. Led by the Senior Billing Manager, the team is highly collaborative, customer-facing, and consists of dedicated professionals committed to excellence. Position Responsibilities Monitor and respond to queries within the Marketplace Billing inbox. Handle internal queries received via email or Slack channels. Support internal finance review processes. Participate in finance reviews for Marketplace opportunities across AWS, Azure, and GCP. Perform cash application for current Marketplace Disbursement reports. Assist in clearing historical open payments and credit memos. Route incoming orders for MongoDB legal execution. Manage Legal Agreement Conga queue for Marketplace-related agreements. Review ordering documents to ensure accuracy in sales and financial accounting systems. Approve Salesforce.com opportunities and NetSuite sales orders. Generate invoices. Assist with account and sales order reconciliations as requested by revenue teams. Work late nights and weekends during quarterly closing periods as needed. Maintain high levels of internal and external customer satisfaction. Assist in updating monthly tracking reports. Contribute to special projects related to administration, operations, and accounting. Candidate Profile Minimum of 2 years of experience in billing and/or order management. Experience with Marketplace Cloud Providers is a plus. Strong background in account reconciliation and transaction research. Comfortable handling large volumes of orders. Experience in fast-paced environments supporting corporate customers. Ability to complete tasks accurately and in a timely manner. Professional, courteous, and dedicated to delivering top-tier customer service. Strong attention to detail and commitment to producing high-quality work. Experience with Salesforce and NetSuite preferred. Intermediate to advanced Microsoft Excel skills. Familiarity with legal agreements and contracts relevant to order processing. Adaptability to a rapidly growing company with evolving processes. Employee Growth & Inclusion We are committed to fostering a supportive and enriching culture. From employee affinity groups to fertility assistance and generous parental leave policies, we prioritize employee well-being. Learn more about working at MongoDB and help us make a meaningful impact on the world. Accessibility & Accommodations MongoDB is committed to providing accommodations for individuals with disabilities during the application and interview process. If you require accommodations, please inform your recruiter.

Position: Junior Technical Product Strategist - Cash Management Group About the Role: BlackRock is one of the world s leading asset management firms, offering a wide range of investment management, risk management, and advisory services. The Cash Management Group, part of the Global Cash Management team, manages Prime and Government Money Market and Ultra-Short Duration Mutual Funds and Separate Accounts, focusing on capital preservation, liquidity, and yield. The team uses a risk-controlled framework to deliver investment returns based on credit, interest rate trends, and relative value opportunities. Business Unit Overview: The Cachematrix Technical Product Strategy team is part of the Global Cash Management group and works with the Cachematrix Liquidity Management platform, a SaaS-based product that powers custom trading solutions for leading financial institutions worldwide. This platform provides seamless integration with core cash management systems or operates as a stand-alone system. Your Responsibilities: Analysis and Solution Definition: Collaborate with stakeholders to gather and document business requirements. Create and maintain Business Requirement Documents (BRDs), Functional Requirement Documents (FRDs), and Business Process Requirements (BPRs). Develop and execute test strategies for User Acceptance Testing (UAT) and provide feedback for improvements. Technical Recommendation and Testing: Identify, document, report, and track defects and issues. Manage issue reporting and triage, providing timely escalation as needed. Project Execution and Support: Offer business and platform support to ensure smooth platform operations. Oversee vendor data to maintain data integrity, verify accuracy, and ensure reconciliation. Set up and oversee client data extracts for seamless integrations. Build and maintain reports, including ad-hoc and automated reports, to support business needs. Communication: Deliver support and training demos to stakeholders and document operating models and handoff processes. Manage stakeholder communication between business and development teams. Preferred Experience: 1-3 years of experience as a Business Analyst or UAT Tester. Bachelor s degree in Business Administration, Information Technology, or a related field. Strong understanding of the software development lifecycle (SDLC) and testing methodologies. Excellent analytical and problem-solving skills. Familiarity with Agile & Scrum methodologies. Industry knowledge of financial services and processes. Experience with JIRA, Confluence, Miro, Visio, Aha or similar tools. Proficiency in SQL for querying and data analysis. Experience with data visualization and business intelligence tools such as Power BI, Tableau, Adobe Analytics, or similar platforms is preferred. Familiarity with programming languages like Python is a plus. Qualification : Bachelors degree in Business Administration, Information Technology, or a related field.

Position Title: Global Services Group (GSG) MIS & Analytics Analyst Functional Overview: The Global Services Group (GSG) delivers exceptional customer care, handling key functions such as Credit, Collections, and Fraud Services for our Cardmembers, Merchants, and Commercial Clients globally. Within GSG, the Late-Stage MIS & Analytics team plays a pivotal role in supporting executive leadership with comprehensive data insights, performance tracking, and business intelligence to drive key operational decisions. What You'll Do: MIS & Analytical Support: Provide in-depth MI and analytical support to executive leadership, focusing on key operations metrics across all Servicing functions within GSG. MIS Maintenance & Issue Resolution: Ensure the smooth operation of existing MIS systems, identify any data deficiencies promptly, and collaborate with relevant teams to resolve issues. Leadership Reporting & Insights: Understand and translate leadership's analytical and reporting needs into effective, user-friendly solutions that enhance decision-making. Industry Trends & Methodologies: Stay updated with the latest industry trends in analytics and emerging technologies, continuously improving reporting processes and methodologies. Required Qualifications: Technical Proficiency: Strong expertise in Hive, SQL, Big Query, Python, and statistical packages, with a solid understanding of Big Data ecosystems. Data Visualization: Proficient in using Tableau and Power BI to create impactful data visualizations. Communication & Relationship Management: Excellent communication skills with the ability to build strong relationships and collaborate effectively with leadership and cross-functional teams. Multitasking & Flexibility: Ability to manage multiple projects simultaneously, work under tight deadlines, and adapt to changing priorities. Analytical Mindset: Strong background in quantitative business analytics, with a creative and conceptual approach to solving business problems. Project Management Skills: Ability to manage projects effectively, translating business requirements into actionable insights and driving successful outcomes. Benefits & Perks: Competitive Compensation: Base salary and bonus incentives. Health & Wellness Support: Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location). Access to on-site wellness centers (where applicable). Work-Life Balance: Flexible working arrangements, including hybrid, onsite, or virtual roles, depending on business needs. Parental Leave: Generous paid parental leave policies (depending on location). Career Development: Opportunities for continuous learning, career development, and training. Mental Health Support: Access to free, confidential counseling support through the Healthy Minds program. Why American Express? American Express is an equal opportunity employer, committed to creating a diverse and inclusive workplace. We offer a culture where everyone is seen, heard, and valued. Employment decisions are made based on merit, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.