Senior Data Management Professional - Data Quality Engineer - Company Financials

Senior Data Management Professional - Data Quality Engineer

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 - all while providing platinum customer support to our clients.

The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by our industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data. We are dedicated to crafting a best-in-class financial analysis and modeling product while constantly looking to enhance and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients current and future needs.

What's the role?

The Company Financials Data Quality team is looking for a highly motivated individual with a passion for finance, data, and technology to build and optimize our data product by developing and implementing our data quality strategy and quality assurance practices. As a Data Management Professional, you will help to develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations.

We'll trust you to:

• Develop, refine, and complete the strategy for how to achieve best-in-class data quality for the Company Financials data products
• Perform data profiling and apply statistical methods to support data quality measurements
• Collaborate with subject matter experts in Data, as well as colleagues in Product and Engineering, on implementation strategies to improve data quality
• Lead projects globally to improve data quality across all datasets under Company Financials
• Provide insights and recommendations to enhance decision making capability in business planning, process improvement, and solution management
• Keep up with the industry trends, standards, and innovation in the data quality domain
• Work in a fast paced, multifaceted & collaborative setting

You'll need to have:

• A BA/BS degree or higher in Computer Science, Mathematics, or relevant data technology field, or equivalent professional work experience
• 4+ years of Python programming and scripting in a production environment
• 4+ years experience in data analysis, financial market research, and/or information technology
• Sound understanding of data quality as a domain of data management
• INTERNAL CANDIDATES ONLY: need to have or be on track to obtaining a DTP certification
• Demonstrable ability to conduct data profiling and data analysis (using Python is a plus) and visualize results with tools such as Qlik Sense or Tableau
• Strong analytical abilities with passion for data and evidence-based decision-making
• Superb communication and project management skills
• Understanding of basic equity markets concepts and their application to financial data
• Solid ability to combine technical skills with business insight

We'd love to see:

• Master's degree or equivalent experience or certification such as a CFA charter holder or CAIA
• Agile/Scrum Project Management experience
• Experience using data analysis and visualization tools such as Tableau or QlikSense

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. 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 parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net