Senior Data Management Professional - Data Quality - Dividend Forecasting

Details

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

Team

The Dividend Forecasting Data team monitors and interprets major company developments to identify themes or trends affecting key market sectors. The team is responsible for providing value beyond reported data using their financial knowledge to forecast key data-points about a company that clients can use to understand the potential direction and magnitude of a company’s dividend payout. The team uses their sector and regional domain expertise to generate insightful content for client consumption.

Role overview

You will help build effective data management solutions and promote practices to define, measure and manage data quality of datasets. You will apply data management methodologies to deliver quality data that is fit for purpose, and you will be actively involved in the projection process to build and maintain domain expertise. As a Senior Data Management Professional, you will work cross-functionally to solve data quality challenges and drive decisions despite ambiguity.

Responsibilities

• Transform how data quality is managed by applying industry best practices and devising quality checks and quality metrics in ETL processes that create, transform and store data
• Define and measure data against standards aligned with client needs
• Identify opportunities to improve data quality via process improvements or workflow infrastructure enhancements
• Provide guidance on processes to measure, monitor and report on data quality to internal partners (Product, Sales)
• Develop, refine, and deliver the strategy for achieving best-in-class data quality and champion organizational change around data quality
• Ensure datasets are fit-for-purpose by reviewing depth, timeliness and accuracy against user expectations
• Perform data profiling and apply statistical methods to support data quality measurements
• Partner with Product, Technology and Data Management Lab to ensure consistent principles, fit-for-purpose tools, and measurable results
• Keep up with industry trends, standards, and innovation in the Data Quality domain

Requirements

• 4+ years of professional experience in data quality management and/or establishing data governance metrics within Finance or Technology industries
• 4+ years of experience crafting and developing data quality metrics and reporting using tools such as QlikSense and Power BI
• Understanding of ETL processes and broader data workflow engineering concepts
• Up-to-date knowledge of events taking place in the financial markets
• Demonstrable experience in data profiling/analysis using tools such as Python, R, or SQL
• Ability to lead multiple global projects in parallel with strong communication and stakeholder management skills

Preferred

• DAMA CDMP or DCAM certifications
• Familiarity with Corporate Actions, Equity Analysis, Portfolio Management, Dividend Futures, or Listed Derivatives asset classes
• Project management experience in a matrixed, cross-regional environment
• Practical experience applying Data Science to solve business problems
• Experience managing and maintaining data pipelines to ensure reliable, high-quality data flow

Compensation & Benefits

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 geographic location, work experience, market conditions, education/training and skill level.

Bloomberg offers a comprehensive benefits plan that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability, 401(k) with match, life insurance, and various wellness programs. The Company does not provide benefits directly to contingent workers/contractors and interns.

Location & Reference

Location: Princeton
Ref #: 10050612