Top Data Analyst Jobs in Mumbai

As a Data Analyst, you will work with various datasets, support data queries, learn research methods, and collaborate within a team for process improvements.

The Web Data Analyst will manage reporting and operational analytics, ensuring data accuracy and supporting web performance metrics. Responsibilities include maintaining dashboards, analyzing trends, and collaborating with stakeholders to enhance data quality and insight delivery.

The Manager, Data Analyst role involves leading reporting and operational analytics, ensuring data quality, and coaching a team while partnering with stakeholders for actionable insights.

The role involves data sourcing, validation, UAT, and managing corporate actions within financial indices while adhering to quality standards and client requirements.

The Analyst supports client services by providing data and research for Morningstar Indexes. Responsibilities include responding to client queries, managing index operations, and coordinating with teams.

Serve as gatekeeper for regulatory data: perform upstream change impact analysis, triage incidents and root cause analysis with complex SQL, define test plans and JIRA requirements, and translate between reporting and technology stakeholders.

The Data Analyst II is responsible for data modeling, complex analysis, reporting, and visualizations to enhance operational efficiency and support decision-making.

The role involves analyzing and verifying data changes, conducting root cause analysis for data issues, and ensuring regulatory reporting accuracy by acting as a liaison between technology and finance departments.

Serve as the gatekeeper for regulatory data: perform upstream change impact analysis, triage data incidents, trace lineage with complex SQL, define test plans and JIRA requirements, and coordinate between reporting and technology teams to prevent report regressions.

The Data Analyst II processes survey data, performs quality checks, collaborates with teams, and resolves data issues using software like Quantum and SPSS.

The Data Analyst - Senior Associate PMA will manage data, support program reporting, coordinate with teams, and create communication collateral. Responsibilities include data analysis, monitoring, and engaging with stakeholders.

The Presales Systems Developer manages the presales platform, develops operational tools, supports data flows, and ensures reporting accuracy for the sales team.

Support journalists by extracting, cleaning, and transforming investment data using Excel, SQL, and Python; build Jupyter notebooks and templates; provide ad-hoc training; collaborate with communications and internal teams to produce and distribute data-driven stories and maintain best-practice documentation.

The Data Analyst will design and enhance Power BI dashboards, manage service administration, develop data models, and support reporting requests.

The Data Analyst will analyze data, develop dashboards, conduct statistical analyses, and collaborate with teams to provide insights that drive business decisions.

The Strategic Data Analyst II will build and maintain scalable data models in Snowflake, focusing on market intelligence and pricing strategy while collaborating with various stakeholders to deliver actionable insights.

As a Senior Data Analyst, you will perform research, data analysis, and reporting to support business strategies and client needs while collaborating with various teams.

The Talent Acquisition Data Analyst supports decision-making through data-driven reports and dashboards, collaborating with various stakeholders to improve recruitment processes.

Track, reconcile, and analyze user and system data across brands using VWO, GA4, Microsoft Clarity, and backend systems. Identify friction, validate experiments (A/B tests), propose tracking and UX improvements, and produce reports and dashboards to support QA, Dev, and Marketing.

As a Data Analyst, you will collect and analyze data, create visualizations, collaborate with teams, and assist in improving data quality.

The Senior Analyst will gather requirements, perform data analysis, create documentation, and improve processes for financial market insights.

The Data Analyst supports internal audits by analyzing data, developing Power BI dashboards, collaborating with auditors, and enhancing audit efficiency through automation and AI tools.

The Tariff Data Analyst role involves managing port tariff data integrity, analyzing data structures, calculating tariffs, and ensuring compliance with standards.

The Data Analyst I role involves analyzing data to solve business problems, supporting business intelligence initiatives, and developing Power BI solutions, while collaborating with various teams and stakeholders.

Analyze end-to-end cellular network performance, design scalable data pipelines, develop analytics to extract application-layer QoE insights, and collaborate with network operators on data collection and optimization.