Top Data Analyst Jobs in Pune

As a Data Analyst, you will develop and maintain dashboards, support data pipelines, ensure data integrity, and collaborate across teams to meet analytics needs.

The Information Protection Analyst will support data governance framework implementation, manage data quality, and ensure compliance while collaborating across teams.

The role involves enhancing risk analytics capabilities, automating reports, and designing new risk tools, primarily using data analysis techniques.

The Senior Data Analyst will analyze data, provide insights, manage research projects, present findings, and mentor team members.

The Sr Data Analyst will analyze large datasets, develop dashboards, deliver insights, and support decision-making to improve business processes.

The Revenue Data Analyst will collect and analyze revenue data, providing insights to support organizational goals, managing reporting in Excel and Power BI.

The role involves building and automating dashboards, managing data extraction, quality, and reporting. It also requires creating NLP solutions for customer interaction insights.

As a Senior Strategic Analyst, you will lead risk and fraud analytics, conduct deep analysis, mentor junior analysts, and collaborate with data teams.

The Data Analyst collects, processes, and analyzes datasets for city rankings, ensuring data quality and providing analytical support for project outputs.

The Senior Data Analyst leads data analysis efforts, providing insights, managing projects, and developing BI dashboards, ensuring data accuracy and governance.

The Senior Data Analyst will define source data, ensure data consistency, manage data migrations, and assist stakeholders in delivering strategic solutions in the financial services sector.

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.

Develop and apply advanced statistical models, use data to guide decisions, and communicate results to clients while mentoring Associates.

The Associate Data Analyst will support data analysis, develop forecasting models, automate reporting, and analyze trading performance metrics.

The Product Data Analyst will analyze user behavior, optimize experiences, manage data pipelines, and collaborate with teams to improve engagement.

The Senior Data Analyst will analyze complex datasets, develop reporting solutions, support business decisions, and ensure data integrity across platforms.

The Financial Data Analyst maintains data frameworks, cleans and transforms financial data, creates visualisations, and prepares reports to identify trends and insights.

The Data Analyst will analyze complex data, create dashboards, and provide insights to support marketing strategies and decision-making.

The Marketing Data Analyst will analyze large data sets for advertising trends, create presentations, generate reports, and support marketing initiatives while managing internal relationships for data integrity.

The FP&A Data Analyst is responsible for data consolidation, automation, revenue analysis, cost optimization, and providing insights to improve business performance, requiring strong analytical and technical skills.

As a Senior Data Analyst, you will forecast case volumes, manage capacity, perform data analysis, and enhance operational performance while partnering with teams for customer experience improvements.

The Data Analyst will gather, analyze, and visualize large datasets, leveraging tools like Power BI and SQL to provide actionable insights and support data-driven decision-making.

As a Senior Data Analyst at Athena, you'll provide actionable insights through reports and dashboards, ensure data accuracy, and collaborate with stakeholders to support business decisions.

The Data & Insights Analyst will generate insights using Salesforce reporting and BI tools, conduct trend analyses, and collaborate to enhance team effectiveness.

The role involves data analysis, modeling, and managing requirements for software delivery, ensuring data quality and compliance with specifications.