Top Analyst Jobs in Mumbai

Own lifecycle marketing across onboarding, activation, engagement, reactivation, and winback. Build behavior-based segments and multichannel campaigns in CleverTap, analyze funnels and cohorts using SQL and Metabase, and identify growth opportunities. Develop and test hypotheses, optimize campaign performance, write conversion-focused copy, partner on growth experiments, and track metrics including CAC, activation, retention, and LTV.

Analyze CRM product usage, funnels, cohorts, feature adoption, A/B tests, and business impact. Build product, business, and reliability dashboards; investigate data discrepancies across applications, databases, pipelines, metrics, and events; establish automated data-quality checks; define issue taxonomies; configure metric alerts; and integrate new data sources using SQL, Python, Redshift, and related tools. Collaborate with product, engineering, finance, and data teams to improve data reliability and product decisions.

Performs manual and automated QA testing for product features and bug fixes, including functional, security, performance, API, application, and regression testing. Develops test plans and cases, executes tests, analyzes results, reports defects, collaborates with product and development teams, and writes maintainable Playwright scripts in JavaScript. Requires basic SQL, Postman, Chrome DevTools, and Agile/Scrum experience.

Analyze outstanding patient account balances, review denied or underpaid claims, research billing and insurance data, verify claim status through payer portals, and take corrective actions such as resubmission or payer transfers. Ensure timely accounts receivable follow-up, meet client quality standards, and maximize collections. The role requires medical billing cycle knowledge, denial management expertise, and at least three years of revenue cycle management experience.

Analyzes customer, product, and segment profitability; supports budgeting, forecasting, pricing, cost control, and variance analysis across ISC and the Middle East. Produces performance reports, dashboards, KPI packs, and scenario models for leadership decision-making. Partners with Sales, Operations, Supply Chain, Procurement, and shared services to ensure data integrity, financial discipline, policy compliance, and timely reporting. The role also improves analytics processes, templates, and automated dashboards.

Elicits and documents business and functional requirements, facilitates stakeholder workshops, analyzes current and future-state processes, and creates BRDs, functional requirements, user stories, and process maps. Supports Agile delivery activities, UAT, requirement traceability, solution performance monitoring, and user training for enterprise productivity and workflow tools.

Analyze structured and unstructured data to identify trends, build dashboards and reports, define KPIs, validate data quality, and provide actionable recommendations. The role requires SQL, BI visualization, Excel, relational database experience, and collaboration with business and technical stakeholders. Preferred skills include Python, ETL and data warehousing, cloud platforms, statistical analysis, forecasting, machine learning concepts, and Agile experience.

Leads Safety in Design reviews across architectural, engineering, and construction documents; identifies lifecycle hazards; facilitates risk assessments; verifies OSHA, NFPA, IBC, ADA, and other code compliance; administers HSE programs; analyzes incident trends; coordinates safety deliverables; supports commissioning and operational handover; and communicates practical risk controls to multidisciplinary stakeholders. The role requires approximately 20%–25% domestic and international travel.

Lead FP&A activities including budgeting, forecasting, long-range planning, performance reporting, variance analysis, financial modeling, and executive decision support. Partner with senior stakeholders to deliver actionable insights, build revenue and expense models, and support headcount planning. Improve finance processes through automation, analytics, AI adoption, and tools such as Snowflake, Alteryx, Power BI, Excel, and Adaptive Planning.

Supports corporate FP&A activities including global consolidation, board reporting, budgeting, forecasting, financial modeling, variance analysis, and performance reporting. The role reconciles financial data, investigates discrepancies, develops actionable insights, and communicates findings to senior stakeholders. It also focuses on improving FP&A processes through AI, automation, analytics, and financial systems.

Build, maintain, and optimize enterprise data platforms using Databricks, Spark, cloud technologies, and DevOps practices. Develop CI/CD pipelines, support cloud migration and automation, monitor platform health, troubleshoot incidents, and ensure reliable, secure, and scalable data services. Participate in rotational production support across global time zones, perform root cause analysis, maintain operational documentation, and collaborate with engineering, architecture, product, and business teams.

Lead technology enablement and project delivery for TA systems, driving SOPs, process improvement, and compliance. Assess TA tech stack (Workday Recruiting, Phenom, Paradox, HiredScore), design solutions, configure systems, run POCs, support ROI/business cases, and lead technical workstreams while engaging technical and non-technical stakeholders.

Support Treasury mid-office MIS and reporting: prepare daily treasury tracker, value investments, run daily stress tests and VaR, monitor limits (daylight, forex, IGL/AGL), compile interest rate sensitivity/DSB returns, and upload GPB returns.

The Business Analyst will gather and document airline business requirements, translate them into functional requirements, and support Agile processes and stakeholder interactions.

Provides operational payroll support across APAC, including maintaining employee data, validating timekeeping, assisting with payroll runs and adjustments, responding to inquiries, maintaining records, supporting tax and labor compliance, and helping implement payroll system updates.

Support global credit analysts by performing fundamental analysis of high-yield corporate borrowers: monitor news, update financial models and historical results, maintain industry data, summarize credit and legal documents, and assist in drafting rating memos and reports while ensuring compliance with policies.

Own quantitative market intelligence for global DRAM, HBM, and NAND Flash markets. Develop supply-demand, capacity, pricing, revenue, market-share, technology-transition, and application-demand forecasts. Maintain market models, trackers, databases, and scenario analyses; identify forecast risks and revise outlooks. Translate complex semiconductor data into written research, actionable recommendations, executive presentations, and client guidance while collaborating with adjacent technology analysts.

Prepare credit risk vetting reports for corporate, project finance, and real estate proposals. Analyze financial statements, validate internal credit ratings, assess borrower and product risks, and recommend lending decisions. Develop financial models, support credit risk model enhancements, monitor regulatory and lending policy changes, revise loan policies, and calculate periodic RAROC. The role also provides policy inputs to credit and product evaluation committees.

Develops, maintains, monitors, and enhances Expected Credit Loss frameworks and estimates under Ind AS 109 and IFRS 9. Responsibilities include developing and monitoring PD, LGD, EAD, and CCF models; conducting portfolio and migration analysis; analyzing defaults, recoveries, collateral, and provisioning; preparing risk reports; applying macroeconomic adjustments; supporting audits, validation, and regulatory reviews; and maintaining model documentation.

Analyzes US healthcare claims and related datasets to identify data-quality issues, validate product outputs, investigate root causes, and recommend improvements. Develops SQL queries, dashboards, documentation, requirements, test scenarios, and validation results. Supports functional, regression, and user acceptance testing while collaborating with product, engineering, machine learning, engagement, and account teams.

Own payer, plan, and provider data mapping into governed hierarchies. Research and enrich records, validate data quality, document lineage and metadata, develop governance standards and dashboards, resolve exceptions, and quality-check junior analysts’ work. Collaborate with product, engineering, content, delivery, operations, and client success teams to improve data products and operationalize AI/ML-assisted mapping while maintaining human oversight.

Build and maintain governed analytics foundations for Revenue Operations. Migrate Alteryx workflows into tested dbt models on Redshift, design certified data marts, manage Dagster or Airflow orchestration, and optimize warehouse performance. Investigate data issues across reporting, models, and business processes. Support account-based marketing, customer health scoring, churn prediction, and lead scoring initiatives while applying AI and LLM tools thoughtfully.

Leads a team of scientific data analysts supporting Reaxys, Embase, and future AI-enabled life sciences platforms. Oversees search and API quality, data discoverability, testing, feature releases, quality standards, and customer-focused insights. Uses scientific expertise, Python and Bash scripting, databases, cloud platforms, and AI-enabled testing workflows to improve data integrity and platform performance. Coordinates stakeholders, documents work, presents findings, and drives cross-functional projects.

Analyzes US healthcare claims and related datasets to identify data-quality issues, patterns, coverage gaps, and product opportunities. Develops SQL queries, dashboards, validation processes, documentation, and test scenarios; investigates defects and performs root-cause and impact analysis. Collaborates with product, engineering, machine learning, engagement, and account teams to support healthcare data-product delivery, client data services, product enhancements, and proof-of-concept initiatives.

Own payer, plan, and provider content mapping into governed hierarchies. Research and validate records, maintain data quality, document lineage and metadata, develop governance standards, resolve exceptions, and create dashboards and reports. Partner with product, engineering, operations, delivery, and client success teams to improve data products, support AI-assisted mapping, train users, and ensure privacy and regulatory compliance.