Top Analyst Jobs in Mumbai

Lead end-to-end data analysis: transform raw data, develop reports and dashboards (PowerBI), monitor performance and quality, implement ETL and data modeling, apply predictive modeling/NLP/machine learning, and support cross-functional data-driven decisions.

Perform KPI reporting, revenue reconciliation, subscription pricing and packaging, sales forecasting, and partner reporting. Drive churn/upsell analysis, manage deferment schedules and channel commissions, and produce ad hoc business insights to support company initiatives.

Transform raw data into actionable insights by collaborating with business units, optimizing SQL queries, enhancing Tableau dashboards, and driving process improvements.

Assist in managing portfolio investment models, prepare investor reports, monitor performance, and resolve data discrepancies. Collaborate with senior team members for operational metrics and investor communication.

The WMS Analyst II supports production issues in 3PL warehouses, improves processes, troubleshoots WMS issues, and communicates across teams.

Support revenue and unit recognition for projects, perform variance analysis and forecasting, reconcile project finances and profitability, manage accrued/deferred revenue, work with PMs, use FinancialForce RM, and mentor junior project finance analysts.

Own and optimize end-to-end software license provisioning and renewals using Flexera. Standardize processes across products, design integrations with SAP ECC/S4, manage renewals, drive automation, and implement continuous improvements to reduce manual work and improve forecasting.

The Digital Business Analyst will gather requirements, conduct gap analyses, and implement Adobe Experience Cloud solutions for enhanced customer experiences.

Analysts at Archipelago will meet customer delivery service levels, stay updated on schemas and technology, and provide internal feedback. They need to have experience in Risk Analytics and knowledge of Commercial Property Insurance.

The Business Analyst will understand SaaS business models, onboard customers, manage data pipelines, and analyze customer KPIs using SQL.

The role involves building scalable data models, automating reporting, implementing metrics, developing dashboards, and ensuring data quality across teams globally.

Lead IT risk assessments, evaluate and document inherent and residual risks, partner with stakeholders to develop and monitor risk response plans, support enterprise IT risk and cyber security initiatives, maintain risk management procedures and best practices, and communicate risks across ITS and business units.

Analyze behavioral and transactional data to optimize the personal loan customer journey, reduce drop-offs, and improve retention. Build predictive lead-scoring models, analyze telesales performance, run A/B and multivariate tests, and develop attribution models. Create automated dashboards and present insights to product, marketing, and leadership to drive conversion, retention, and product improvements.

The Senior Analyst oversees account opening processes, ensuring timely execution of onboarding for investment strategies across various asset types while collaborating with stakeholders and managing documentation.

The Data Analyst - Senior Associate PMA will manage data, support program reporting, coordinate with teams, and create communication collateral. Responsibilities include data analysis, monitoring, and engaging with stakeholders.

The Quality Assurance Analyst develops and executes performance tests, analyzes system metrics, recommends improvements, and supports integration into CI/CD processes.

Support FP&A activities including month-end close, journal entries, reconciliations, variance analysis, and finalizing business-segment P&L. Prepare financial reports, billing reports, headcount analysis, budgeting/forecasting support, business review packs, and ad-hoc analysis while partnering with cross-functional teams.

Provide L1/L2 production support and on-call (24x7 rotation) for the Axiom financial reporting platform. Troubleshoot and optimize Axiom jobs, write/maintain shell scripts and Oracle SQL/PLSQL, manage Autosys schedules, monitoring (Dynatrace), ServiceNow incident/change tracking, platform maintenance/upgrades, and collaborate with development for L3 escalations. Participate in change deployments, mentor junior engineers, and maintain SLAs and compliance.

Lead QA to embed quality across solution delivery: define and maintain unit tests, design telemetry pipelines, manage defects and test environments, mentor engineers, present risks to stakeholders, and lead QA for data migration and performance testing of Azure-hosted, containerized distributed systems.

The Senior Analyst will manage Investor Applications, enhance Salesforce solutions, and provide exceptional service to business groups within Asset Management.

Support, design, build, test, and maintain Workday integrations (EIB, Core Connectors, Studio, APIs). Troubleshoot and monitor integrations, ensure data integrity and compliance, collaborate with HR, business stakeholders and vendors, document technical specifications, recommend process improvements, and mentor junior analysts.

Design, develop, and maintain Playwright-based test automation frameworks and scripts for UI and API. Execute manual functional, regression, and exploratory tests across UI, API, and database layers. Integrate automated tests into CI/CD pipelines (Azure DevOps). Participate in Agile ceremonies, analyze defects, track issues, and support continuous testing and shift-left practices to ensure quality releases.

Support and own revenue and unit recognition for projects, perform variance and profitability analysis, reconcile accrued/deferred revenue, assist forecasting and project finance activities, work with project managers, maintain Revenue Management in FinancialForce, and mentor junior project finance analysts.

Ensure accuracy, completeness, and integrity of Salesforce customer and account data. Build automated validation and enrichment pipelines (SQL/Python), perform large-scale cleansing and deduplication (DemandTools, Data Loader), create monitoring dashboards (Power BI), enforce governance, and apply AI/LLMs to improve matching, classification, and anomaly detection so data never blocks Quote-to-Cash processes.

Analyze complex datasets using SQL, build and maintain Tableau dashboards, perform statistical and predictive modeling with R/Python, identify process improvements, and collaborate with cross-functional teams to deliver actionable business insights.