Data Management Professional
Role details
Job location
Tech stack
Job description
modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data.We are dedicated to crafting a best-in-class financial analysis and modeling product while constantly looking to enhance and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients current and future needs.What's the Role? 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
Requirements
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 governanceStrong coding proficiency in SQL and Python for data analysis and workflow optimization idea generationFamiliarity with ETL processes, data pipelines, and workflow designExperience with data visualization tools (Tableau, Qlik Sense, Power BI, or similar) to communicate quality insightsStrong problem-solving skills and ability to thrive in a fast-paced environmentStrong project management skills and ability to prioritize and adapt to tasks accordingly with a customer focused mentalityPowerful collaboration skills to work across departments and regions, excellent written and verbal communication skillsStrong analytical skills, attention to detail, and a solutions-oriented mindsetComfort working in a dynamic, evolving environment, balancing long-term strategy with immediate operational needsWe would love to see: Industry-recognized data management certifications (e.g., DAMA, CDMP, DCAM)Experience with company financials data and financial statementsHands-on knowledge of data governance and quality frameworks, including metadata management and regulatory considerationsKnowledge of software testing and QA methodologies with experience in both manual and automating testing processesFamiliarity with modern data infrastructure and architecture (APIs, pipelines, cloud platforms), with exposure to AI/ML or LLM-based enrichment solutions for anomaly detection and automationExperience using Bloomberg Terminal and Company Financials productsExposure to Agile methodologiesDiscover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the