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

Our Team:

The Entities Data team is responsible for the creation and support of core entity data, assignment of risk allocation and corporate hierarchy research for over 7 million public and private companies. To accomplish this, the team relies on the design and implementation of data processing workflows that aim to meet our client’s timeliness, quality and coverage needs.

What's the role?

As a Data Management Professional focusing on data quality, you will be responsible for setting the quality strategy to ensure a fit-for-purpose data set. You will also help build out effective data management solutions and promote best practices to define, measure and manage data quality of our datasets. This includes establishing new data quality checks and measuring quality metrics that align with industry standards.

You will also be expected to review current workflows in order to identify and advocate opportunities to improve the quality of data, achieved by designing process improvements or creation or infrastructure enhancements. You will also be required to provide guidance on how to implement processes to measure, monitor and report on our data quality to our internal partners in Product or Sales. The successful candidate will be working hand in hand with our internal center of excellence dedicated to data quality and across teams.

We’ll trust you to:

• Develop, refine, and deliver the strategy for how to achieve best-in-class data quality for the Entities product
• Understand the different use cases for clients use cases ensuring our data is fit-for-purpose
• Educate and empower colleagues on industry principles of data quality, in order to elevate awareness, appreciation and application of these principles more broadly
• Perform data analysis of their product, including data profiling and statistical analysis to validate approach via objective data driven decision making
• Stay informed of industry trends, standards, and innovation in the data quality domain
• Efficiently and proactively connect with partners and senior management

You’ll need to have:

Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.

• 4+ years of professional experience in data quality management and/or establishing data governance metrics
• Experience using data visualization tools such as Tableau or QlikSense
• Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL-Ability
• Understanding of ETL processes and broader data workflow engineering concepts
• Openness to change in a fast-paced environment and willingness to work through challenges
• Strong collaboration skills to work across departments and with global teams
• Strong attention to detail and high degree of demonstrated decision-making and problem solving skills
• Project management skills and ability to prioritize and adapt to tasks accordingly

We’d love to see:

• Data management certification such as DAMA, CDMP or DCAM
• Experience working with an Agile development methodology such as Scrum

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!