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Bloomberg runs on data, and our Data team acquires and supplies it to our clients. Teams work to collect, analyze, process and publish the data which is the backbone of our iconic Bloomberg Terminal - the data which ultimately moves the financial markets! We're responsible for delivering this data, news and analytics through innovative technology - quickly and accurately.

The Data Management Lab (DML) sits within the Data organization, and supports Data's pursuit of data management excellence through aligning industry standards with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products "ready-to-use", through promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.

The Data Quality team sits alongside our Business Intelligence and Process Engineering teams, and supports DML's mission by empowering data teams to appraise their datasets from our clients perspective. As a member of the Data Quality team, you will own the charge to ensure Data provides our clients with high quality data that moves markets around the world.
We partner closely with all Data product teams and our Engineering counterparts, to champion solutions that meet the needs of our client-facing products. Primary themes in this area include leading the continual refinement of the best practices and application of data management principles, as well as supporting the development of the tooling and solutions to measure our data products as fit-for-purpose.

We'll trust you to:

• Lead global projects for Data Quality and Data Analysis for the Bloomberg Data products
• Develop the strategy for how to achieve outstanding Data Quality, and champion organizational change around Data Quality
• Act as an agent of change to help drive data processes as well as the concept of data as an asset, including refining and implementing strategies to increase awareness and adoption of key Data Quality principles
• Perform data profiling and apply statistical methodology to promote and measure data quality and identify data patterns and trends
• Draw connections between output data quality measurements and input process measurements to surface root causes and relationships of data
• Provide insights and recommendations to enhance business decision making capability in business planning, process improvement, and solution assessment
• Establish the capabilities for the department to more effectively and commonly perform statistical data analysis
• Partner with stakeholders to gather reporting and dashboarding requirements to design, produce, analyze, and deliver metrics through visualization capabilities
• Partner with Engineering counterparts, providing clear business requirements, articulating business value, and collaborating on technical solutions
• Keep up with the industry trends, standards, and innovation within the Data Quality domain

You'll need to have:

• Academic and/or professional experience specifically geared towards Mathematics & Statistics, Business Analysis, and/or Data Management
• Detailed understanding of data quality as a sub-domain of data management (DAMA CDMP, DCAM certification a plus)
• Experience in crafting and developing metrics and reporting across large organization
• Strong practical analytical skills in working proficiently with data profiling and analysis (Python a plus), as well as experience using analytical and dashboarding applications like Qlik Sense or Tableau
• Strong practical data wrangling and analytical skills
• Experience in applied statistics within a financial domain
• Proficiency in Python, SQL, Git & UNIX

We'd love to see:

• Academic and/or professional experience within a Business, Finance or Technology fields
• A creative and flexible approach to problem-solving, coupled with an experimental posture, to challenge past assumptions and provide new ways of thinking
• Up-to-date knowledge of financial markets, and how Bloomberg products deliver value to our clients
• Ability to lead multiple projects with global scope in parallel, with solid project management, communication, and leadership skills

Last application date August 6th 2023, interviews to be scheduled thereafter.

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.

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

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