Top Data Analyst Jobs in Pune

Lead and manage data analysis projects at Pfizer, utilizing strong communication and analytical skills to improve processes and guide operational teams.

The Data Analyst will develop and deploy AI/ML models, analyze complex data, and communicate findings to stakeholders. Attention to detail is crucial.

The Senior Data Analyst will analyze complex datasets, develop data pipelines, ensure data quality, and collaborate with stakeholders in trading operations.

The Data Analyst will ensure data quality and accuracy, maintain dashboards, automate processes, and support reporting and analytics for project tracking.

The role seeks experienced Data Analysts proficient in Microsoft BI Stack, SQL, and data modeling to develop reports and ensure data integrity.

As a Data Analyst, collaborate with stakeholders to align business strategies with data-driven solutions, using tools like Power BI and Python to deliver insights and drive decision intelligence.

The Data Analyst will handle diverse datasets for city rankings, ensuring data quality and processing to support analysis and visualizations.

The intern will work with data scientists and other teams to build dashboards, validate data, and generate actionable insights from large datasets.

As a GTM Data Analyst at ClickUp, you will collaborate with cross-functional teams, create dashboards, and provide actionable insights to support growth initiatives.

The Data Analyst generates and manages data for reports, oversees coding teams, troubleshoots issues, and supports Senior Analysts in data export and report production.

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.

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

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 role involves transforming operational data into actionable insights, developing dashboards and metrics using tools like Tableau, HEX, and Jira, and collaborating with various teams to optimize performance and automate workflows.

Analyze operational metrics and build dashboards in Tableau and HEX, optimize Jira workflows, and create data models in Excel and SQL.

Design and maintain SQL-based solutions, optimize ETL workflows using SSIS, and translate business requirements into SQL queries.

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

The Principal Data Analyst will lead data analyses to optimize Udacity's curriculum, monitoring KPIs, and developing scalable assessment methods while influencing strategic decisions across teams.

As a Data Specialist, you will produce data products for institutional clients, ensuring accuracy and providing insights while utilizing programming skills.

The Content Analyst (Data Steward) ensures data accuracy and quality by monitoring, validating, and analyzing data across various products, as well as developing data governance policies.

The Senior Data Analyst will lead analytics projects related to oncology patient journeys and transform claims data into insights, presenting findings via dashboards and collaborating with various teams.

The Content Analyst ensures data accuracy and quality by monitoring, analyzing, and managing data across products. Responsibilities include maintaining data quality, implementing governance policies, training users, and collaborating with stakeholders.

Lead analytics projects focused on patient journey and therapy mapping, analyze claims datasets, develop insights, and ensure data integrity.

The Senior Data Analyst will analyze complex datasets, develop data transformation pipelines, manage pricing processes, and communicate insights to stakeholders.

Design and implement data solutions on GCP for SAS Revenue Management, optimizing pipelines and providing insights for customer engagement.