Senior Data Management Professional – Macro Industries - BI / BNEF
Location
New York
Business Area
Data
Ref #
10048553
Description & Requirements
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: BloombergNEF (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.
The Role:
A Senior 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, crafting data architectures, ensuring data integrity. They are expected to be problem solvers, effective communicators and versatile at balancing technical expertise with a product-focused approach. This role encompasses various specialty areas, including data engineering, product ownership, data modeling & data quality, and requires a solid background in data management.
We’ll trust you to:
* 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
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
* 2+ 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 shareholder
We’d love to see:
* 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 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
The Macro Industries - BI / BNEF data team supports two crucial stakeholders in Bloomberg News & Research: BloombergNEF (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.
The Role:
A Senior 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, crafting data architectures, ensuring data integrity. They are expected to be problem solvers, effective communicators and versatile at balancing technical expertise with a product-focused approach. This role encompasses various specialty areas, including data engineering, product ownership, data modeling & data quality, and requires a solid background in data management.
We’ll trust you to:
* 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
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
* 2+ 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 shareholder
We’d love to see:
* 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 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
Salary Range = 110000 - 190000 USD Annually + 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.
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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