Top Analyst Jobs in Mumbai

Drives sales growth for Walmart and club-channel customers through syndicated data analysis, sales reporting, trade planning, digital insights, and market performance evaluation. Maintains automated reporting, supports sales planning, identifies business opportunities, and recommends execution improvements. Manages multiple projects, ensures data quality, mentors team members, and builds stakeholder relationships through clear presentations and influential communication.

Supports Citi’s internal KYC and AML program by preparing, maintaining, validating, and approving KYC records and Customer Identification Program documentation. Partners with Relationship Management and Compliance teams, gathers information from internal and external sources, ensures adherence to regulatory and internal standards, tracks workflow progress, maintains the BSU tool, and escalates control or risk issues appropriately.

Supports Citi’s internal KYC program by preparing and maintaining KYC records, conducting due diligence, validating CIP documentation, incorporating regulatory requirements, updating workflow systems, monitoring progress, and escalating compliance or control issues. Partners with Relationship Management and Compliance teams to ensure accurate approvals, risk assessment, regulatory adherence, and effective record governance.

Handle inbound calls from U.S. customers, provide product and pricing information, resolve questions and objections, document interactions in the CRM, and drive sales through upselling. Meet individual and team sales targets while delivering professional customer service. The role requires strong English communication, problem-solving, multitasking, basic computer skills, and flexibility for rotational shifts, including evenings, weekends, and holidays.

Conduct fundamental research on mid- and large-cap companies, develop actionable investment ideas and detailed investment theses, and publish company, sector, earnings, and thematic research. Engage with CIOs, fund managers, research analysts, company management, institutional sales, and dealing teams. Deliver customized insights to institutional investors while ensuring research is accurate, timely, differentiated, and compliant with applicable guidelines.

Analyze hiring and candidate data to improve decision-making, shortlisting, scoring systems, and operational efficiency. Build dashboards and reports, track hiring funnel metrics, collaborate with operations and product teams, and ensure data accuracy.

Analyze business, production, workforce, financial, and operational data to support strategic decision-making. Responsibilities include data cleaning, dashboard and KPI development, project performance analysis, forecasting, workforce planning, profitability analysis, reporting automation, and presenting recommendations to senior leadership. The role partners with Production, Talent Acquisition, Finance, HR, and Studio Operations teams.

Lead HR and people analytics by developing workforce dashboards, reports, and insights covering headcount, attrition, hiring, diversity, engagement, mobility, and costs. Support workforce planning and budgeting, ensure HR data quality and governance, automate reporting, and partner with HR, Talent Acquisition, Finance, and business leaders to provide actionable recommendations and influence workforce decisions.

Leads FP&A and financial governance for global supply chain raw materials. Partners with sourcing, procurement, operations, and finance teams on planning, forecasting, reporting, margin improvement, cost savings, and financial analysis. Uses SAP cost modules to assess pricing, volume, incoterms, and vendor impacts, identify variances and root causes, improve reporting processes, and provide data-driven insights to business leaders.

Designs, develops, tests, deploys, optimizes, and supports SAP Order-to-Cash and Customer Fulfillment solutions. Partners with supply chain, business, IT, and data stakeholders to translate requirements into scalable solutions, leads testing and production deployment, maintains test scripts, supports user adoption, mitigates risks, and mentors team members across logistics and customer fulfillment.

Analyzes and improves demand forecasts using OMP at the item, week, and location level. Manages promotions, seasonality, volatility, forecast bias, and demand-sensing metrics while ensuring data integrity. Partners with supply planning, logistics, marketing, and other stakeholders to improve service levels, reduce inventory and costs, and enhance capital utilization. Supports forecasting process improvements and related projects.

Leads the design, development, governance, and scaling of business intelligence, semantic-layer, conversational analytics, and AI-driven insight solutions. Builds Looker semantic models, LookML structures, BigQuery queries, dashboards, and governed self-service analytics products. Partners with business, product, technical, and governance teams across requirements, architecture, development, testing, deployment, monitoring, and continuous improvement. Establishes validation, metadata, access control, performance, and data-quality practices.

Supports demand planning through forecasting model analysis, data extraction, descriptive analytics, performance measurement, root-cause analysis, and process improvement. Uses SQL/PLSQL, visualization tools, statistical techniques, and cloud platforms to improve forecast accuracy. Partners with stakeholders and technical or data science teams to align forecasts, validate outputs, and implement standardized solutions. The role operates on a 1:30 p.m. to 10:30 p.m. shift.

The Commercial Capabilities Analyst develops sales reporting and analytics solutions using retailer and syndicated data. Responsibilities include gathering requirements, translating business needs into technical documentation, coordinating Reporting Pod activities, consulting on data processes, writing unit and integration tests, building automation, and providing insights to commercial stakeholders. The role collaborates with analysts, data engineers, BI developers, architects, project managers, and Sales and e-commerce teams while supporting enterprise initiatives across the solution lifecycle.

Develop and execute product-location distribution and replenishment plans across the company network. Monitor inventory, deployment exceptions, service risks, and transportation costs while balancing customer service and inventory objectives. Partner with planners, transportation, production, and demand teams to resolve issues, analyze supply chain KPIs, maintain planning systems, support process improvements, and provide recommendations for network balancing and shipment prioritization.

Supports Strategic Revenue Management for the Pet business through analysis across pricing, trade, price pack architecture, mix, and terms. Builds reporting and analytical tools, identifies opportunities using forecasting models, presents data-backed recommendations, and partners with stakeholders to drive action. The role also manages multiple projects, improves processes, ensures data quality, and develops strong stakeholder relationships through clear communication and business-focused insights.

Analyzes POS, panel, and consumption data for General Mills’ Pet business in North America. Produces weekly narratives, monthly market-performance reports, brand and category analyses, and share-movement deep dives. Identifies consumer, market, and economic trends, translates business questions into analytical approaches, and delivers actionable recommendations. Partners with stakeholders across regions, supports business forums, mentors junior analysts, and manages large datasets using tools such as Nielsen, IRI, Excel, Power BI, Tableau, and SQL.

Leads commercial sales reporting and analytics capabilities by translating business requirements into technical specifications, coordinating data processes, and partnering with analysts, engineers, BI developers, architects, and stakeholders. Combines retailer and syndicated data sources, supports data quality and downstream delivery, writes SQL, develops tests and automation, documents processes, and provides technical consultation. Serves as a data expert and trusted partner while managing enhancements, support requests, and business-driven projects.

Designs and delivers governed Business Intelligence, conversational analytics, and AI-driven summarization solutions. Builds semantic models, dashboards, architectures, validation processes, and natural-language querying capabilities using Tableau, Looker, BigQuery, SQL, and Python. Leads requirements, development, testing, deployment, governance, stakeholder workshops, and post-launch monitoring while improving data quality, performance, usability, adoption, and trust in AI-enabled analytics.

Analyzes manufacturing and supply chain data to identify trends, root causes, and improvement opportunities. Develops statistical, optimization, predictive, prescriptive, and machine learning models to improve plant productivity, reliability, maintenance, waste, and costs. Builds dashboards and self-service analytics solutions using Python, Dash, SQL, and BigQuery, while applying data quality, automation, version control, and deployment practices. Partners with stakeholders, communicates insights, delivers projects independently, follows Agile practices, and mentors analysts.

Lead governance for enterprise unstructured data, including documents, emails, media, PDFs, and chat logs. Develop data policies, ownership models, security and access standards, retention, lineage, quality monitoring, audit methods, and remediation processes. Inventory and classify content, configure governance software, integrate assets into enterprise catalogs, and collaborate with data owners, cybersecurity, Office 365, and governance teams to ensure compliance and responsible data use.

Support and enhance supply chain planning systems, particularly OMP and SAP-related tools. Responsibilities include resolving planning issues, managing configurations, leading testing and deployments, coordinating enhancements, improving system stability, partnering with business users, and providing rotational after-hours production support. The role requires expertise in supply chain planning processes, master and transactional data, system integrations, and planning modules such as OPR, S&OP, IO, and FCT.

Conduct global risk-based internal audits, assess financial and operational controls, evaluate compliance risks, lead audit projects, prepare reports, recommend process improvements, and advise stakeholders on risk management and internal control design. The role also includes quality assurance reviews, staff guidance, collaboration with external auditors, and leadership across complex global projects.

Leads Supply Chain data foundations by translating business needs into technical specifications, designing scalable data pipelines on Google Cloud Platform, and improving data quality, governance, metadata, lineage, security, and reliability. Partners with business and technology stakeholders, mentors analysts, maintains data models and integrations, and supports sustainability reporting, digital twins, predictive analytics, regulatory compliance, automation, and AI enablement.

Drive item, week, and location-level forecast accuracy using OMP and statistical forecasting tools. Review forecasts, manage promotions, seasonality, and volatility, analyze forecast performance metrics, maintain data integrity, and provide insights to supply planning and business stakeholders. The role supports inventory and cost reduction, continuous process improvement, forecasting projects, and training while working an afternoon-to-evening shift.