Top Analyst Jobs in Mumbai

Lead perimeter and cloud edge security operations focused on WAF, API and email protections. Monitor SIEM/logs, analyze web traffic, tune WAF/bot protections, respond to incidents, coordinate with threat intel, vulnerability management and business ISOs, and advise stakeholders to improve external defense posture.

Analyze application risks and implement security controls for web, mobile, and cloud platforms. Perform vulnerability assessments, drive remediation with engineering teams, and integrate security into SDLC/CI-CD pipelines. Ensure adherence to OWASP and security benchmarks, monitor cloud configurations for risks, and implement identity, access, and data protection controls.

Support senior portfolio managers by building and maintaining portfolio and fund-level financial models, preparing investor operational reports on weekly/monthly/quarterly cadences, identifying data discrepancies, improving reporting processes, and responding to investor requests and special projects for single-family residential joint ventures.

Monitor, investigate, and respond to security alerts using SIEM/SOAR and EDR/XDR. Triage incidents, perform network and endpoint forensics, lead incident response activities, threat hunt, leverage MITRE ATT&CK, and collaborate with engineering and operations to remediate risks and improve SOC processes. Participate in shift/on-call coverage and produce security metrics and documentation.

Gather, organize and analyze cross-functional data to produce dashboards, reports and metrics. Build scalable automated reporting, model complex problems, track KPIs, analyze costs and profitability, and partner with teams to improve operations and decision-making.

Perform business analysis and act as intermediary between users and IT for ERP/finance systems. Create requirements and functional specs, manage change requests, design and execute functional, integration, regression and UAT test plans and cases, gather test data, track test progress, and coordinate stakeholder sign-offs.

Analyze business data, create business glossary and data lineage; build and troubleshoot interactive Tableau dashboards; extract data via SQL from MDM and worksheets; validate lineage deliverables with IT; produce charts and status reports for management using Excel and PowerPoint.

Provide software quality assurance for IT projects, including CMMI v3 deployment, planning, gap analysis, and auditing. Ensure QA processes, support IT project management, and drive process improvement with strong communication and change-management skills.

Provide L3 production support for billing systems: troubleshoot Oracle/SQL and PL/SQL issues, use Unix shell scripting, deploy Java J2EE/WebSphere applications, work on-call and weekends, cover two shifts, and coordinate with onsite teams in Paris and Singapore.

Serve as a HR Business Analyst specializing in PeopleSoft HR and Oracle. Gather and document business requirements, support PeopleSoft functional configuration, liaise between business and technical teams, assist implementations and support activities, perform testing and documentation, and support ERP/BI-related HR processes.

Perform and manage software quality assurance and process audits using CMMI. Maintain audit plans, report findings, track non-compliances to closure, coach teams, implement CMMI Level 2 practices, and produce monthly QA performance indicators for IT projects.

Serve as HR Business Analyst handling Taleo operations and HR domain tasks. Provide PeopleSoft functional expertise, work with Oracle/ERP systems, and support implementation, consulting, and support activities for HR systems.

The Analyst role involves conducting in-depth research, developing financial models, and supporting financial analyses and presentations for client pitchbooks.

Analyze data using SAP S/4, BW, and HANA architecture. Build queries and reports, develop data flows, and ensure data quality. Work on SAP Analytics Cloud and other reporting tools.

The role involves processing financial and non-financial transactions, managing client documentation, resolving issues, and ensuring compliance with regulations while working in a team environment. Strong analytical and communication skills are essential, along with the ability to prioritize multiple tasks.

The Senior Analyst will manage the setup and integration of Open-Ended Funds, ensuring compliance with AML, KYC, FATCA/CRS, and facilitating investor onboarding and data migration.

The Senior Analyst will manage fund setup and integration, client onboarding, data migration, and support operational projects, collaborating with various stakeholders.

Support global portfolio management by consolidating building-level data, building dashboards, performing financial modeling (IRR, NPV), valuations, investor reporting, variance analysis, and recommending hold/sell decisions while collaborating cross-functionally.

The Associate Research Analyst will manage a database of economic indicators, write updates, respond to client queries, analyze survey data, and prepare presentations for institutional clients.

The Senior Business Analyst will design user experiences for virtual agents, gather customer requirements, create conversation flows, and act as a liaison between stakeholders and development teams in Conversational AI projects.

As a Quality Analyst, you will provide exceptional customer service, meet client KPI's, and ensure adherence to quality guidelines while maintaining confidentiality and participating in training.

As a Quality Analyst, you ensure a great customer experience by adhering to quality guidelines, exceeding KPIs, and maintaining confidentiality.

Conduct ESG research by collecting and analysing qualitative and quantitative data from corporate disclosures to support ESG ratings. Meet production targets and quality standards, monitor industry trends, support methodology and thought leadership, participate in QA, train peers, and coordinate with global teams to deliver timely, accurate ESG assessments.

Own data quality and root-cause analysis for prediction issues: detect anomalies, trace sources, fix processes, automate QA/reporting with Python and SQL, maintain dashboards, and partner with Data Science, Engineering, Product, and Commercial teams to improve prediction performance and customer-facing analytics.

Support data integrations and quality by checking ingested/system-generated data for anomalies, building and running QA checks and automations with Python and SQL, assisting on customer data queries and dashboards, and documenting findings to improve prediction reliability.