Top Data Analyst Jobs in Mumbai

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.

As a Data Analyst, you'll analyze complex data sets using statistical techniques, collaborate with SMEs, and prepare reports for stakeholders.

Maintain and transform investment data into actionable insights by building data systems and pipelines, performing complex analysis, visualizing results, improving data quality, and collaborating with clients and product teams.

Lead SOX compliance and ICFR activities including internal controls design, risk assessment, audit coordination, governance reporting, operational effectiveness, and stakeholder communication.

The Data Analyst will own reporting and analytics for the Revenue Operations team, ensuring data accuracy and quality while supporting stakeholders with actionable insights.

The Senior Business Analyst will analyze and resolve data quality issues, coordinate with data teams, document business requirements, and implement data governance frameworks to improve business productivity and data management processes.

Design, maintain, and enhance internal Power BI dashboards and data models; administer Power BI Service (access, workspaces, gateways); perform data ingestion and transformation using SQL/Python; develop reusable tabular models and DAX; support stakeholders with ad-hoc reporting, training, and Power Platform tasks; document solutions and run demos.

The Senior Data Analyst will define source data, create data mapping, report inconsistencies, assist with data migration, and manage stakeholder expectations while delivering insights in financial services.

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 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.

Perform advanced data analysis and statistical modeling in R, build and optimize complex SQL queries, ensure data accuracy and quality, collaborate with stakeholders to deliver insights, and optionally process large datasets using Hadoop or similar big-data technologies.

Combine customer marketing and data analysis to drive engagement and retention. Collect and clean data from CRM, web, and campaign tools; build dashboards and segments; run email, loyalty and upsell campaigns; measure ROI and retention; design sales incentive schemes; support forecasting, territory planning, and sales-marketing alignment.

Design and operate an Azure + Databricks lakehouse; build batch and streaming ingestion pipelines with CDC, automated data quality, CI/CD and observability; model curated datasets and semantic layers for Power BI; enforce security/compliance controls and cost optimization; collaborate with product owners and data stewards.

Design, build, and operate Azure/Databricks lakehouse pipelines (batch and streaming) with governance, data quality, observability, and cost controls. Model curated datasets and semantic layers in Power BI, manage PostgreSQL replication/CDC to lakehouse/Synapse, enforce security/compliance, and collaborate with product owners and data stewards to certify enterprise datasets.

Design, clean, analyze, and visualize data using SQL and Python; build Tableau dashboards; apply statistics and basic ML/DS concepts; follow software/data-engineering practices (version control, unit testing, high-performance code); work with structured and unstructured data and cloud environments.

Lead the data solutions strategy for PR&C PSP division, managing data initiatives, teams, and collaborating on analytics projects. Ensure compliance, governance, and optimize data services while communicating technical solutions to stakeholders.

Collaborate with game teams to deliver actionable insights that increase user acquisition, engagement, and monetization. Design and instrument analytics events and queries, run exploratory analyses and competitor analysis, generate reports, and design/interpret A/B tests to evaluate game features and offers.

The Data Analyst will support product marketing by analyzing performance metrics, developing dashboards, and providing insights for decision-making across Pall's marketing initiatives.

The Data Analyst supports product marketing initiatives by collecting and interpreting data, analyzing results, and providing actionable insights while collaborating with various teams to enhance product lifecycle management and pricing strategies.

The Data Analyst will support product marketing initiatives by analyzing data, tracking KPI progress, developing dashboards, and providing actionable insights to inform decision-making across business units.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

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

Gather and analyze business and risk user requirements; produce functional designs and specifications for market risk systems; assess impacts; create and execute test plans (UAT, regression, simulation); support BAU including data sourcing, extraction, and analysis for Market and Liquidity Risk Data Store; manage delivery timelines.

The Data Analyst Manager will lead the data analytics team, develop data strategies, ensure data correctness, and coordinate with different departments for insights.

The Data Analyst prepares, analyzes, and validates data, applying statistical methods and visualization techniques to derive insights and support business objectives. Communicates findings effectively and collaborates with Data Engineers for model and dashboard implementation.