Senior Data Management Skilled – Process Automation & Data Operations, Company Financials Data , Pune

Description & Requirements

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify creative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients.

Our Team:

The Company Financials team provides clients with fast and accurate market-moving data covering broker estimates, financial filings, and other critical datasets that help them assess financial performance. We use financial modeling, industry expertise, data management, and technical skills to curate key metrics and extract insights from our data.



Our goal is to deliver a best-in-class financial analysis and modeling product while continuously expanding and enhancing our offering.

Across Company Financials Data, we are focused on building scalable, observable, and AI-ready data operations. This includes redesigning workflows, improving process efficiency, embedding automation, and ensuring that financial data is delivered with the quality, consistency, and timeliness our clients expect.

The Role:

The Company Financials Process Automation & Data Operations team is seeking a highly motivated Senior Data Management Qualified to drive operational excellence across financial data workflows. You will leverage data, automation, and process improvement expertise to optimize production, enhance quality and controls, reduce manual effort, and scale AI-ready workflows. Partnering with Workflow, Product, Engineering, and Data Operations teams, you will deliver solutions that improve efficiency,

📌 Senior Data Management Professional – Process Automation Pune (India)
🏢 Bloomberg
📍 India