Top Analyst Jobs in Pune

Provides 24x7 L1/L2 production support for wealth management applications. Responsibilities include application, API, batch, and infrastructure monitoring; incident triage; log analysis; troubleshooting; smoke testing; deployment validation; job scheduling; SQL-based data updates; root-cause analysis; documentation; disaster recovery exercises; stakeholder communication; and escalation to development, infrastructure, and database teams. The role requires occasional night, weekend, and on-call support.

Provides L1 production and application support for Wealth Management platforms, including Salesforce and Microsoft technologies. Responsibilities include incident triage, application and batch monitoring, troubleshooting, user access management, release support, job scheduling, root-cause analysis, escalation, reporting, disaster recovery documentation, and coordination with technology, vendor, business, audit, and compliance teams. The role includes rotating coverage, on-call, night, weekend, and 24x7 support responsibilities.

Provides L1 production support for financial applications and enterprise data platforms. Responsibilities include monitoring ETL jobs, data pipelines, batch schedules, alerts, and incidents; troubleshooting data quality, reconciliation, ingestion, reporting, and application issues; performing SQL-based data updates, smoke testing, root-cause analysis, and impact assessment; coordinating with technical and business teams; escalating complex issues; supporting disaster recovery, audits, automation, and continuous service improvement.

Lead end-to-end accounts receivable activities, including collections, cash receipts, cash application, reconciliations, refunds, subscription management, pricing updates, patient claim submissions, and reserve write-offs. The role supports order-to-cash optimization, accurate financial documentation, dispute resolution, audit compliance, and cross-functional coordination with Finance, Legal, Sales Operations, and Customer Success teams.

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.

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.

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.

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.

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.

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.

Leads a team of scientific data analysts supporting Reaxys, Embase, and future AI-enabled life sciences platforms. Oversees search and API quality evaluation, data discoverability, testing, feature releases, customer-focused insights, and quality standards. Uses scientific expertise, data analysis, scripting, databases, cloud platforms, and AI-enabled testing workflows to improve platform reliability and relevance. Coordinates stakeholders, advances projects, documents work, and presents recommendations for product and data improvements.

Lead oncology patient-journey, line-of-therapy, brand, HEOR, and healthcare resource utilization analytics using structured claims and patient data. Build SQL pipelines, perform exploratory and statistical analyses, ensure data governance and reproducibility, and translate findings into dashboards and client-facing insights. Collaborate with HEOR, market access, strategy, and engineering teams while independently managing project delivery and stakeholder communication.

Lead oncology analytics projects involving patient journeys, line-of-therapy mapping, claims data, brand analytics, and HEOR/HCRU studies. Build SQL pipelines and use Python and Excel to analyze structured healthcare datasets, ensure data integrity, and deliver reproducible insights. Develop dashboards and client presentations while collaborating with HEOR, market access, strategy, and engineering teams. Independently manage project delivery and stakeholder communication.

Architects, implements, and supports advanced SAP IBP and APO supply chain planning solutions. Leads process improvements, prototypes, testing, upgrades, training, data analysis, and optimization modeling for supply and demand planning. Collaborates with business and IT teams to deliver scalable solutions, improve profitability, and support semiconductor industry planning needs. The role also mentors stakeholders and influences senior leadership on system adoption and operational improvements.

Process and settle client financial transactions, manage asset transfers, reconcile positions, investigate transfer requests, and resolve fund or client issues. Maintain regulatory and industry compliance, monitor fund manager reports, manage pension cash transfers, coordinate with brokers and counterparties, and ensure assets are re-registered within KPI and SLA timelines. Produce daily management information and collaborate with operational, risk, and client teams.

Analyze business requirements, epics, and user stories within an agile development team for investment applications. Translate business needs into functional and technical designs, collaborate with Product Owners, engineers, QAs, operations, and business stakeholders, and ensure acceptance criteria and testing align with requirements. Maintain application data flows and lineage for audit readiness, support product testing and launches, contribute to engineering and quality standards, and participate in sprint ceremonies and continuous improvement.

Lead SOC alert triage, incident investigations, root cause analysis, containment, eradication, and recovery. Correlate SIEM, EDR, network, cloud, and identity telemetry; maintain detections and playbooks; conduct threat hunting; and coordinate incident response. Mentor analysts, support purple-team exercises, produce executive incident reporting, improve controls, and maintain audit-ready documentation. The role requires enterprise SOC experience, scripting, security certifications or equivalent expertise, and shift, weekend, and holiday flexibility.

Perform healthcare data entry, validation, database maintenance, and quality checks while ensuring HIPAA-related compliance and data integrity. The role supports process analysis, operational efficiency, productivity targets, and continuous improvement. Candidates must communicate effectively, work across shifts in a fast-paced office environment, and maintain accuracy under pressure while processing healthcare information.