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 role involves analyzing business requirements, developing SQL queries, ETL processes, and collaborating on data-driven solutions in the Payments domain.

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

Support data validation and governance processes for sales and renewals data. Collaborate with teams to improve data quality and develop dashboards.

Lead moderately complex supply chain data projects, analyze trends, utilize digital technologies, and ensure compliance with regulatory standards.

The Data Analyst designs and implements advanced analytics reports and dashboards, supporting business insights and strategic imperatives through data visualization and analysis.

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 will define data requirements, support data migrations, collaborate with stakeholders, and ensure data handling conforms to best practices in financial contexts.

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

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 Business Data Analyst will analyze data to inform business strategy, build reports and dashboards, and provide insights for decision-making.

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 SAP Data Archive Analyst optimizes system performance and manages data retention compliance through SAP data archiving projects, collaborating with various teams and implementing strategic archiving solutions across SAP environments.

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

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

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

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 Sr. Data Analyst collects, cleans, analyzes, and visualizes data using tools like Power BI and SQL, providing insights for decision-making.

The Data Analyst for Internal Audit develops data analytics strategies, executes audits, enhances processes, and communicates findings effectively to management.

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

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

The role involves supporting and maintaining the Azure Data Platform by managing incidents, monitoring performance, and optimizing database operations. Responsibilities include troubleshooting ADF, Synapse Analytics, and ensuring data security compliance.

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