Description & RequirementsBloomberg 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 "Macro Industries - SFS TPD" data team supports Sustainable Finance Solutions (SFS) Third Party Data. SFS Third Party Data leverages knowledge of financial markets, clients' needs, and data engineering to design pipelines that support high-quality content. Our focus is on acquiring, processing, validating, and storing environmental, social, and governance data using open source, third party, and proprietary technology. We're constantly using data-driven decision-making to create better, more efficient systems to handle the huge variety of data we acquire and deliver to our clients. We have strong working relationships with teams across Data, Engineering, CTO, and others, and utilize this network to achieve results. There are many growth opportunities within the team.
The Role:
A Data Management Professional (DMP) is a key role within our organization responsible for optimizing our data for clients and improving our data operations. They act as technical leaders: setting the strategy for data products, developing interconnected data models, designing data schemas and pipelines, and ensuring data integrity. They are expected to be problem solvers, effective communicators, and able to balance technical expertise with a product-focused approach. This role encompasses various specialty areas, including statistical analysis and data visualization, data engineering, product ownership, data modeling and data quality. It requires a solid background in data management.
We'll trust you to:
- Design and implement 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
You'll need to have:
- 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
- 4+ years of experience working with databases, either SQL or NoSQL
- Understanding and experience with data modeling
- Excellent written and verbal communication skills for explaining sophisticated technical concepts to different stakeholders
We'd love to see:
- Curiosity in problem solving, particularly to modify and improve processes and workflows
- Solid attention to detail and high degree of proven decision-making
- Experience in information technology, project management, engineering, data analysis, or research
- Experience working in an agile development team
- 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
Does this sound like you? Apply if you think we're a good match! We will be in touch to let you know what the next steps are.
Salary Range = 110,000 - 190,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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