Senior Data Management Professional - Company Financials Foundational Support London, GBR Poste[...]

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 workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.

The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by the industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data.

As a Data Management Professional within the Foundational Support team, you will support the creation of scalable, high quality data workflows that underpin the delivery of accurate, fit-for-purpose datasets. Your work ensures that our foundational data processes not only meet accuracy and timeliness expectations but also evolve to support innovation, automation, and new commercial opportunities aligned with Bloomberg’s strategic goals.

You will play a pivotal role in validating end-to-end workflow orchestration, enhancing incident response and prevention frameworks, and embedding knowledge management and governance practices to strengthen data quality, transparency, and scalability across the Company Financials ecosystem.

You’ll need to have:

• 4+ years of professional experience in data quality management, or data governance
• Strong coding proficiency in SQL and Python for data analysis and workflow optimization idea generation
• Familiarity with ETL processes, data pipelines, and workflow design
• Experience with data visualization tools (Tableau, QlikSense, Power BI, or similar) to communicate quality insights
• Strong problem-solving skills and ability to thrive in a fast-paced environment
• Strong project management skills and ability to prioritize and adapt to tasks accordingly with a customer focused mentality
• Powerful collaboration skills to work across departments and regions, excellent written and verbal communication skills
• Strong analytical skills, attention to detail, and a solutions-oriented mindset
• Comfort working in a dynamic, evolving environment, balancing long-term strategy with immediate operational needs

We would love to see:

• Industry-recognized data management certifications (e.g., DAMA, CDMP, DCAM)
• Experience with company financials data and financial statements
• Hands-on knowledge of data governance and quality frameworks, including metadata management and regulatory considerations
• Knowledge of software testing and QA methodologies with experience in both manual and automating testing processes
• Familiarity with modern data infrastructure and architecture (APIs, pipelines, cloud platforms), with exposure to AI/ML or LLM-based enrichment solutions for anomaly detection and automation
• Experience using Bloomberg Terminal and Company Financials products
• Exposure to Agile methodologies

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process.