Senior Data Management Professional - Financials Industries

Senior Data Management Professional - Company Financials Industries

Apply for the Senior Data Management Professional - Company Financials Industries role at Bloomberg.

Base pay range

$/yr - $/yr

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. In Data, we deliver data, news, and analytics through innovative technology—quickly and accurately. We apply problem‑solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.

Our Team

The Company Financials Industries 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 leverage financial modeling, industry expertise, data management, and technical skills to curate key metrics and extract insights from our data, delivering a best‑in‑class financial analysis and modeling product.

What's the Role?

As a Senior Data Management Professional, you oversee data management and analysis of a portfolio of companies, building financial models, designing technical solutions, analyzing company data, defining key metrics, and researching alternative datasets to enhance Bloomberg’s financial data products.

We’ll Trust You To

• Own the data coverage, quality, and curation of 15‑20 companies across Bloomberg Terminal, financial models, and enterprise data products
• Perform data profiling and exploratory data analysis to identify and prioritize areas for investment in our data offering
• Research and product ionize advanced data quality solutions using subject‑matter expertise and technical acumen
• Use Python to query, analyze, and automate workflows
• Analyze industry trends and market‑moving events to ensure datasets reflect relevant, high‑value information for clients
• Troubleshoot and resolve data quality escalations, collaborating with clients and stakeholders to ensure datasets are fit‑for‑purpose
• Develop financial models and apply data‑driven insights to enhance product offerings
• Apply subject‑matter expertise to support AI/ML automation initiatives
• Build interconnected data models across Bloomberg’s product offering
• Manage client and internal stakeholder relationships
• Mentor and train junior team members to strengthen team capabilities

You’ll Need To Have

• Bachelor’s degree in Finance, Accounting, Statistics, Business, STEM, or related field, or equivalent experience
• 4+ years of relevant experience in financial data analysis, equity research, financial modeling, or related field
• Strong coding proficiency in Python or R for data analysis and workflow optimization
• Advanced experience with Pandas (Python) or dplyr (R)
• Deep understanding of financial statements, modeling, and industry analysis
• Competency in applied statistics, emphasizing descriptive statistics and statistical inference
• Basic knowledge of relational data modelling, focusing on conceptual data model and data normalization
• Strong problem‑solving skills and ability to thrive in a fast‑paced environment
• Excellent communication skills, translating business needs into actionable data solutions
• Proven ability to support and engage stakeholders to ensure product success

We’d Love To See

• Master’s degree or CFA designation (or in progress)
• Sector‑specific expertise and understanding of key industry drivers (buy‑side or sell‑side equity research experience a plus)
• Exposure to data management principles, business intelligence tools or quality assurance and control
• Foundational knowledge of core LLM concepts
• Experience using Bloomberg Terminal and Company Financials products

If This Sounds Like You

Apply today! We’ll reach out to discuss the next steps.

Salary Range

USD 110,000 – 190,000 annually + Benefits + Bonus

Benefits include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long‑term disability, 401(k) + match, life insurance, and wellness programs.

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Seniority level – Mid‑Senior level

Employment type – Full‑time

Job function – Information Technology

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