Top Data Analyst Jobs in Pune

The Supply Chain Network Modeler develops and maintains quantitative network models, translating data into insights for strategic decision-making and collaborating with various stakeholders.

This role involves analyzing data using Python and SQL, focusing on data remediation for financial services clients.

The Business Data Analyst II will design and optimize SQL and PL/SQL scripts, develop Java applications and RESTful APIs, gather requirements, and ensure solutions maintain data integrity and security.

Design and optimize SQL scripts, develop Java applications and APIs, lead collaboration sessions, and ensure solutions adhere to RDBMS principles.

The GRC Data Analyst Manager focuses on data engineering and analytics to enhance risk oversight and reporting for GRC functions. Responsibilities include managing data pipelines, creating dashboards with BI tools, ensuring data quality, and collaborating with stakeholders to deliver actionable insights.

As an Associate Business Data Analyst, you will analyze Client Services activities, write SQL queries, consult cross-functional partners, and ensure data quality, supporting business analytics needs across global teams.

The Analyst III supports BI projects, develops dashboards, ensures data integrity, assists operations with reporting tools, and collaborates on data requirements to enhance analytics solutions.

Lead business analysis activities in Agile environments, define clinical data solutions, guide requirements for clinical systems, and support stakeholder collaboration and project management.

The Data Analyst role focuses on data analysis, issue investigation, and building data pipelines to drive business recommendations and improvements through advanced analytics and visual reporting.

Lead business and data analysis initiatives: define KPIs, improve processes, ensure data quality, translate requirements into technical specs, collaborate on Salesforce customizations, present insights, manage projects and UAT, and drive data governance.

The Data Analyst will perform data analysis using SQL, build data pipelines, identify anomalies in data, and communicate findings effectively. Adaptability to agile requirements is essential.

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

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 by analyzing performance metrics, developing dashboards, and providing insights for decision-making across Pall's marketing initiatives.

The Data Analyst will analyze datasets, utilize AI for data exploration, automate reporting, perform web scraping, create visualizations, and collaborate with teams to provide insights for content studies.

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

The role involves data analytics with a focus on querying large data sets, visualization using Tableau, and applying quantitative skills, predominantly in the FMCG and Food & Distribution sectors.

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.

The Data Analyst will analyze complex supply chain data, recommend process improvements, ensure data accuracy, and support AI initiatives across multiple enterprise systems.

As a Product Data Analyst, you'll manage data analytics, capture user behavior, optimize user experience, and analyze user journeys across SaaS and On-premises offerings.

The Sr. Data Analyst builds audiences for insights, compiles research, creates audience profiles, and answers research questions from teams and clients.

The Senior Data Analyst is responsible for building audiences, compiling research for insights, creating audience profiles, and addressing research queries from teams and clients.

The Data Analyst will extract insights from large datasets, automate data pipelines, perform advanced analytics, and create visual reports to support decision-making.

The Senior Analyst for Clinical Data Abstraction will extract, validate, and analyze clinical data while ensuring compliance with regulations and maintaining data accuracy.