Top Analyst Jobs in Chennai

Gather and document requirements for Temenos Infinity and digital banking implementations. Facilitate stakeholder workshops, define onboarding and servicing journeys, document BPMN and DMN processes, perform gap analysis, and prepare BRDs, FSDs, user stories, and traceability matrices. Support configuration validation, UAT planning and defect triage, change management, training, solution design, pre-sales activities, and collaboration among business, technical, QA, and architecture teams.

Designs, configures, deploys, tests, and supports Workday integrations with enterprise applications. Defines integration architecture, governance, and technical standards; translates business requirements into technical solutions; provides production support and root-cause analysis; and drives optimization, reporting, documentation, monitoring, and audit compliance across the global HR technology environment.

Analyze marketing data to measure campaign performance, ROI, attribution, customer behavior, and funnel conversion. Build Tableau dashboards and reports, define KPIs and measurement frameworks, evaluate experiments, and provide recommendations for campaign strategy and budget allocation. Translate complex findings into executive-ready presentations and collaborate with global marketing stakeholders across digital, social, email, and event channels.

Supports enterprise IAM and cybersecurity operations across Active Directory, Entra ID, SSO, MFA, and identity lifecycle processes. Investigates security alerts using SIEM, EDR, cloud, and infrastructure tools; resolves IAM incidents; supports RBAC, privileged access, access reviews, audits, and compliance activities. The role also maintains documentation, identifies automation opportunities, mentors junior analysts, and works rotating 24x7 shifts in collaboration with global IT and cybersecurity stakeholders.

Supports platform operations by troubleshooting customer and partner issues in Salesforce, coordinating resolutions, maintaining procedures, communicating project updates, and improving support workflows. The role works with HL7 connections, APIs, Data View, and other platform services while identifying recurring issues and opportunities for improved tooling, automation, documentation, and operational consistency.

Leads customer analytics projects using dbt and Snowflake, establishes data and code quality standards, mentors junior analysts, conducts code reviews, documents reusable solutions, manages customer requirements, delivers analytical findings, and identifies expansion opportunities.

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.

Develop marketing budget allocation models, Early LTV metrics, performance diagnostic frameworks, and analytical tools. Analyze products, channels, campaigns, cohorts, attribution, and marketing economics using SQL, experimentation, BI tools, and spreadsheets. Support AI-based analytics development and unified BI metrics while translating findings into business rules and recommendations.

Support quarterly forecasting and annual budgeting by consolidating business-unit submissions, preparing financial analysis and management reporting, modeling scenarios, identifying performance drivers, and improving FP&A automation and planning processes.

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.

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.

Executes business process transactions accurately and according to established procedures. Supports process improvement, data analysis, bottleneck identification, quality standards, compliance, procedure documentation, performance targets, and team training while collaborating with senior analysts and managers.

Transforms complex datasets into strategic insights supporting revenue growth and executive decision-making. Responsibilities include defining KPIs, building analytical models, creating dashboards and reports, analyzing customer behavior and revenue, identifying risks and opportunities, conducting cohort, retention, funnel, and forecasting analyses, and partnering with business stakeholders and data engineering teams.

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.

Supports FP&A, budgeting, forecasting, annual operating plans, revenue and cost analysis, profitability reviews, inventory analysis, and departmental spending oversight. Prepares management reports, dashboards, and actionable business insights while evaluating sales and marketing ROI. Partners cross-functionally to improve financial performance, working capital, and inventory management.

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.