Top Analyst Jobs in Chennai

Maintain and curate a global CMC regulatory database, monitor regulatory updates, translate changes into structured standardized content, perform quality checks and validations, support internal stakeholders and customer queries, and contribute to continuous improvement and content preparation under defined editorial standards and workflows.

Provide functional SAP FI/CO and BPC support across S/4HANA Finance environments, ensure accurate group reporting and profitability tracking, maintain data consistency, handle month-end closing support, manage incidents using ITIL processes, and perform basic ABAP debugging while communicating technical issues to finance stakeholders.

Act as the bridge between Supplier Engagement and Ops to validate, classify and improve retailer/vendor data. Perform ETL, data cleaning, KPI reporting, RCA, query resolution, productivity initiatives, and onboarding support while maintaining SAP, FTP/MFT, and transactional data integrations for large, multi-format and TLog datasets.

Evaluate a personalization feature for Gemini by designing multi-turn prompts using your personal context, assessing grounding, integration, and helpfulness, stack-ranking side-by-side responses, writing clear rationales with turn references, extracting debug info, and maintaining data hygiene (delete evaluation conversations).

Perform Salesforce data analysis and integration focused on CPQ and billing. Conduct data gap analysis, compare and standardize large datasets, and support enterprise CPQ design for subscriptions, order orchestration, invoicing, revenue recognition, taxation, payments, and general ledger integration.

Perform financial control and reporting to ensure regulatory compliance, measure profitability and risk, manage liquidity and capital, and support oversight of alternative investment funds. Analyze counterparty creditworthiness, monitor market risks, provide analytical and reporting support, collaborate across teams, and maintain accuracy and detail in financial processes.

Support marketing operations by managing HubSpot database hygiene, building and executing outbound email campaigns, segmenting audiences, maintaining MQL pipelines, producing performance dashboards/reports, auditing and enriching prospect data (ZoomInfo), and managing recurring tasks and documentation.

Build forecasts and predictive models (time series, regression) for call center demand, analyze drivers of volume and handle time, support capacity planning at strategic/tactical/intraday levels, run site-level volume/capacity discussions, simulate initiative impacts, and deliver actionable insights to optimize workforce performance.

Perform transaction monitoring and processing per QSD, provide feedback to associates, prepare and report monitoring metrics, analyze quality performance, participate in calibrations, support training and team huddles, and coordinate process improvement initiatives with Black Belt.

Build and maintain user tagging and profiling systems, analyze large-scale behavior data, perform feature engineering and exploratory analysis, support cross-functional teams for segmentation, monitor tag effectiveness, detect anomalies and fraud patterns, and improve data methodologies to enable risk control and personalized services.

Lead data analysis and BI for recommendation, feeds, and growth use cases; deliver analytics, reporting, and end-to-end solutions; prioritize stakeholder requests; partner cross-functionally to deliver high-impact use cases; implement LLM-based agents for analysis, chatbot interaction, and sentiment monitoring; and mentor junior analysts.

Support law enforcement engagements and AML/CFT investigations by handling inquiries, performing blockchain tracing and preliminary investigations, assisting with pre-SAR controls and client offboarding, participating in AML training, and liaising with stakeholders to share knowledge and support compliance operations.

Perform IP geolocation investigations to detect location-circumvention and restricted-location risks; document findings in the case management system; escalate high-risk cases; support remediation, control reviews, and governance improvements; collaborate with Operations, Product, and Business stakeholders to enhance geofencing controls.

Lead a Data Analyst team to analyze PB-scale transactional and customer data, build algorithmic systems and visualizations, implement ML/LLM solutions for compliance use cases, support business stakeholders with data requests, and translate findings into actionable recommendations.

Analyze marketing campaign performance, customer behavior, and market trends; build and maintain marketing dashboards and reports; collaborate with marketing and sales to define data needs; conduct competitor and KOL analysis; present insights via data visualization and recommend optimizations to improve marketing ROI and conversion.

Analyze operational data and processes, identify bottlenecks, design scalable solutions, automate workflows and reporting with Python and SQL, build dashboards and monitoring, perform root-cause analysis, document logic and collaborate with product, engineering, and ops teams to improve automation and data quality.

Early-career role analyzing PB-scale on-chain, transactional and customer data. Perform data engineering, ETL, querying, build visualizations and ML models, translate insights for teams, manage reporting environment, secure confidential data, and troubleshoot reports/databases.

Lead LLM-focused data science work: analyze large datasets, build statistical models, design and deploy LLM/agentic applications, perform prompt engineering and model fine-tuning (RAG), and collaborate with global teams to deliver AI-driven business solutions.

Early-career Data Analyst who designs and owns core analytics, dashboards, and data pipelines. Analyze transaction, customer, and credit data to inform credit, fraud, AML, portfolio performance, unit economics, and growth. Build automations and workflows with SQL and Python, partner with cross-functional teams, and own compliance reporting and durable analytical systems.

Serve as a bridge between business and IT by gathering and documenting requirements, defining and prioritizing product features as a Product Owner, conducting gap and process analyses, facilitating stakeholder workshops, supporting UAT, tracking project progress, and training end users on new features.

Analyze complex data, elicit and document business requirements, identify process improvements, support project delivery, build reports and dashboards, communicate with stakeholders, and conduct market research to inform strategy.

Serve as a senior business analyst on Agile teams: elicit and document functional/non-functional requirements, write epics/stories/wireframes/use cases, manage backlog and grooming, ensure stories meet acceptance criteria and Definition of Ready, collaborate with Product Owner, stakeholders and QA, and establish requirements management practices.

Deliver weekly KPI dashboards and ad-hoc analyses to drive e-commerce site optimization. Create SQL queries and reports from the Customer Data Warehouse, perform segmentation and deep-dive analyses, validate analytics tagging, and partner with eCommerce, marketing, and IT to turn insights into tests, personalization, and business outcomes.

Lead business analysis for technical projects: define scope, gather and document requirements, run workshops, manage risks and dependencies, collaborate with cross-functional teams, and drive BA practice improvements.

Own product backlog and lead Agile/ART practices: gather requirements, define roadmap, size/prioritize features, run scrum ceremonies, unblock team, mentor members, and ensure delivery aligns with product vision and market needs.