Senior Data Management Professional - Macro Industries - BI​/BNEF

Bloomberg runs on data. Our products are motivated 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’re responsible for delivering this data, news and analytics through innovative technology — quickly and accurately.

The Macro Industries - BI/BNEF data team supports two crucial stakeholders in Bloomberg News & Research:
Bloomberg

NEF (BNEF) and Bloomberg Intelligence (BI). BNEF provides unique analysis, tools and data for decision makers owning the energy transition. BNEF provides data‑driven research that helps clients stay on top of developments across the power, transport, industry, buildings and agriculture sectors. BI conducts in-depth research on large and midsize companies across all sectors to help clients effectively evaluate and understand the environment for these companies and the related industries they impact.

BI reviews, checks and curates this data into comprehensive and logically arranged dashboards to support their own research and to provide Bloomberg Terminal users with a platform to view and analyze this data.

• Design and implement strategic data workflows, integrating structured and unstructured datasets while maintaining robust quality controls.
• Develop database schemas and ETL processes to efficiently onboard and process new datasets.
• Analyze metadata and internal processes to identify and implement innovative improvements.
• Establish data governance standards and best practices, including business rules for programmatic data validation based on market conventions.
• Build comprehensive data quality monitoring and reporting systems using statistical analysis and visualization techniques.
• Collaborate with Engineering and Product teams to develop and execute client‑focused data strategies.
• Mentor technical team members and promote best practices across the organization.

• A BA/BS degree or higher in STEM or relevant data technology field, or equivalent professional work experience in software development.
• 4+ years of professional experience programming and scripting in Python production environments.
• 2+ years of experience working with databases, either SQL or No
  
  SQL.
• Understanding and experience with data modeling.
• Excellent written and verbal communication skills for explaining sophisticated technical concepts to different stakeholders.

• Experience in information technology, project management, engineering, data analysis or research.
• Experience working in an agile development team.
• Curiosity in problem solving, particularly to modify and improve processes and workflows.
• Solid attention to detail and a high degree of proven decision‑making.
• Strong passion for data, technology and finance.
• Ability to work under pressure and in an often‑changing environment.
• Ability to work independently as well as in a team environment.
• Ability to influence others and lead change.