Top Data Analyst Jobs in Pune

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

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

Lead data-driven initiatives, analyze complex datasets for trends, develop reporting solutions, and collaborate with cross-functional teams to enhance business decisions.

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

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.

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

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

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

Collaborate with Analytics teams to build data projects using healthcare datasets, presenting insights to clients while ensuring high-quality standards.

Lead data analytics initiatives to improve sales and renewals data quality, enabling effective planning and providing insights across the organization.

As a Principal Data Analyst, lead and conduct high-impact analyses to optimize content strategy and drive measurable learner outcomes, collaborating with stakeholders.

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.

The Senior Data Analyst provides analysis and recommendations based on datasets, manages pricing processes, develops data transformation components, and collaborates with stakeholders to achieve business goals.

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

As a Data Analyst, you will analyze data to provide insights for business decisions, craft reports, create dashboards, and communicate findings to influence strategy.

Analyze financial data to identify trends and risks, conduct profitability analysis, and develop financial models to support decision-making.

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

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

Analyze large datasets for strategic insights, develop monitoring models and dashboards, conduct exploratory analysis, and present findings to diverse audiences.

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

The Data Operations Analyst will map products to customer specifications using manual tagging and machine learning tools, ensuring accuracy and alignment with business goals.

As a Senior Data Analyst, you will analyze various data sources to provide insights and recommendations, collaborating with clients to improve data processes.

The Senior Analyst will perform data engineering tasks, collaborate across teams on data solutions, analyze large datasets, and develop innovative data-driven products and insights.

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.