Top Analyst Jobs in Chennai

Analyzes business and user needs, defines system requirements, prepares technical specifications, evaluates system impacts, and supports software solution integration. Maintains national code assignments and control tables, ensures data quality, collaborates with IT, vendors, testing teams, and business users, troubleshoots defects, supports audits, and extracts data using SQL queries.

Leads enterprise transformation across Solutions Operations, focusing on zero-touch operations, process architecture, AI and automation, operational visibility, analytics, governance, and continuous improvement. Develops future-state operating models, dashboards, transformation roadmaps, and scalable global processes. Influences executive stakeholders across Operations, Finance, IT, Sales, Delivery, and business units while driving organizational change, capability development, and measurable business outcomes.

Provides onsite and remote IT support for global users, managing high-volume service desk tickets, troubleshooting Microsoft systems, Active Directory, messaging, network, and infrastructure issues. Responsibilities include incident resolution, root-cause analysis, SLA and KPI tracking, monitoring and alerting, documentation, ITIL compliance, service procedure development, and collaboration with technical teams. The role requires rotational shifts, on-call participation, customer focus, and occasional travel when required.

Facilitates behavioral, professional, and capability development programs; coordinates learning calendars, stakeholders, vendors, and program metrics; manages learning projects from planning through completion; owns onboarding readiness and delivery for the Chennai site; maintains learning documentation and reports; and builds trusted partnerships with business and HR leaders to improve employee development experiences.

Supports supply chain accounting decisions and analyzes transactions involving contract manufacturing, standard costing, vendor rebates, product financing, and excess and obsolescence reserves. Reviews contracts, interprets U.S. GAAP and SEC guidance, documents accounting conclusions, supports management and external auditor reviews, and follows SOX controls. Partners with finance, FP&A, tax, and business teams to address accounting and financial reporting issues.

As a Senior Business Systems Analyst, you will define system goals, capture business requirements, and work with engineering teams on SFDC implementations.

Reviews fraud alerts, transactions, account activity, and customer claims to identify and investigate suspected fraud. The role authenticates customers, evaluates risk, documents findings, resolves cases, processes account remediation, escalates emerging risks, and ensures regulatory and policy compliance. It also supports customers and internal partners, participates in audits and quality reviews, and identifies process improvements to strengthen fraud controls and minimize losses.

Maintains product configuration data, Bills of Material, manufacturing routings, configuration rules, and change orders in SAP systems. Tests configurations, analyzes engineering changes, troubleshoots data and process issues, performs root cause analysis, and supports data cleansing and standardization. Provides training and subject-matter expertise while collaborating cross-functionally to improve product data flow, order processing, and manufacturing processes.

Develops, analyzes, tests, implements, and supports application systems and software programs. Responsibilities include feasibility studies, estimates, system design, programming, risk assessment, security measures, user support, and process standardization. The role requires strong Oracle PL/SQL expertise, SQL query and stored procedure development, systems analysis, project implementation, and the ability to advise junior analysts and collaborate with stakeholders.

Deploys and supports SAP SD and EDI business applications across sites and shared services. Responsibilities include implementing standard processes, gathering business requirements, configuring and testing SAP solutions, developing functional specifications, supporting users, managing B2B and EDI integrations, and coordinating enhancements. The role requires expertise in sales and supply chain processes, pricing, output determination, intercompany scenarios, Level 2 support, SAP configuration, and integration with other ERP logistics modules.

Supports daily trade and transaction reporting under MiFID, including report validation, regulatory submissions, reconciliations, exception and issue management, corrective reporting, controls testing, and breach escalation. Maintains regulatory and process documentation, investigates issues, and collaborates with stakeholders across the bank. The role also supports supervisory people management and development activities.

Provides first-line monitoring and incident triage for AWS and Azure environments. The analyst reviews Datadog, CloudWatch, and Azure Monitor alerts, performs initial infrastructure diagnosis, executes runbooks, creates ITSM tickets, escalates unresolved incidents, supports major-incident bridges, and maintains shift handovers and operational reporting. The role also identifies recurring alerts and automation opportunities while working rotating 18x7 shifts.

Supports clinical research project teams with assigned tasks, vendor coordination, risk tracking, financial data upkeep, meeting support, TMF inspection readiness, eTMF quality control, recruitment forecasting, milestone tracking, operational data quality, CAPA completion, and project closeout. Requires strong organization, communication, attention to detail, multitasking ability, analytical thinking, and Microsoft Excel proficiency.

Provides analytical, operational, and coordination support for reward and performance programs. Responsibilities include remuneration analysis and reporting, cyclical performance and pay processes, Workday-supported process improvement, automation, system testing, data-quality activities, and first-line support for reward queries. The role coordinates timelines, maintains workplans, handles confidential employee information, and escalates complex matters to senior Reward team members.

Leads information security activities focused on preventing, monitoring, and responding to data breaches and cyberattacks. Manages daily data security services involving HSM, PKI, tokenization, and CLM infrastructure; coordinates with development and infrastructure teams to identify risks and implement controls; assesses threats; and develops technical procedures and process controls.

Implements data validation and quality controls across enterprise data platforms using SQL and Python. Builds Power BI monitoring dashboards, investigates root causes across pipelines and source systems, documents validation logic, supports metadata and governance initiatives, and collaborates with engineers, product managers, and business teams to improve data reliability and AI readiness.

Lead advanced threat-hunting missions, investigate cyber threats and insider misconduct, develop IOCs and IOAs, analyze cloud and security data, improve detection and incident-response capabilities, support digital forensics, participate in purple-team exercises, present executive metrics, and mentor cybersecurity team members.

Design and implement enterprise data-quality validations using SQL, Databricks, and Python. Build reusable automation frameworks, monitoring solutions, Power BI dashboards, and quality scorecards. Investigate data issues across source systems and pipelines, lead root-cause analysis, and implement remediation controls. Maintain data-quality documentation, contracts, metadata, and governance standards while partnering with data product managers and engineering teams to deliver reliable, AI-ready data products.

Design and implement enterprise data quality controls, SQL and Databricks validations, Python automation frameworks, and monitoring dashboards. Investigate data issues across pipelines, perform root cause analysis, maintain data governance documentation, and define data contracts and quality metrics. Partner with data product managers and engineering teams to embed quality by design, improve standards, and deliver reliable, AI-ready data products across global platforms.

Develop digital analytics insights, metrics, and business intelligence to improve customer journeys, engagement, conversion, personalization, and digital experiences. Advise stakeholders on data strategy, optimize campaigns, manage analytics and data platforms, translate requirements into measurement solutions, and collaborate with tagging developers. Provide training, coaching, and senior-level guidance while influencing business decisions through data-driven recommendations.

Administer and optimize Docebo as the primary technical steward, providing platform support, troubleshooting, configuration, integrations, identity provisioning, automation, documentation, governance, and rollout support. The role partners with Salesforce, HR, security, and technology teams to maintain data integrity, improve reliability, support sales enablement adoption, and scale reusable implementation patterns across global business teams.

Administer and optimize the Docebo learning management platform supporting global sales teams. Responsibilities include technical support, configuration, troubleshooting, integrations, automation, identity provisioning, SSO, API data flows, security governance, rollouts, testing, documentation, and continuous improvement. The role partners with business administrators, technology teams, and product support to maintain platform reliability and expand adoption.

Build and maintain Snowflake ELT/ETL pipelines, enterprise data models, and Streamlit applications supporting global supply chain functions. Develop tested SQL transformations, monitor pipeline health, troubleshoot data quality issues, and implement alerting. Collaborate with analysts and business users to translate requirements into technical solutions while participating in code reviews, documentation, and knowledge sharing.

Develop and test mainframe software using COBOL, VSAM, IBM tools, DB2, EZT, and JCL. The role requires programming experience, relational database knowledge, analytical and problem-solving skills, and collaboration with technical teams and clients. Candidates need a bachelor’s degree or equivalent experience and at least three years of programming or testing experience. Life insurance domain knowledge is relevant, while LOMA 280 or 290 certification is advantageous.

Manage and resolve client enquiries through phone, email, chat, and customer portals. Investigate first-level product and data issues, escalate complex cases, meet service-level and resolution targets, coordinate with internal resolver teams, communicate case updates, and contribute to knowledge documentation while building financial market and product expertise.