Bloomberg

Senior Data Management Professional - Data Quality - Dividend Forecasting

Bloomberg$110K — $190K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of experience in data quality management and data governance within Finance or Technology sectors.
  • Expertise in developing data quality metrics and reporting using QlikSense and PowerBI.
  • Strong understanding of ETL processes and data workflow engineering concepts.
  • Current knowledge of financial market events and trends.
  • Proficient in Data Profiling and Analysis with tools such as Python, R, or SQL.
  • Exceptional communication and stakeholder management skills to lead multiple global projects.

Responsibilities

  • Transform data quality management by establishing best practice checks and metrics in ETL processes.
  • Identify and advocate for data quality improvements via process enhancements or infrastructure changes.
  • Provide guidance in implementing monitoring and reporting processes on data quality for internal partners.
  • Develop strategies for achieving top-tier data quality and promote organizational change in data management.
  • Review datasets to ensure they meet user expectations in terms of depth, timeliness, and accuracy.
  • Conduct data profiling and apply statistical methods for measuring data quality.
  • Collaborate with Product, Technology, and Data Management teams to ensure effective data quality tools and practices.

Benefits

  • Comprehensive benefits plan including medical, dental, and vision coverage.
  • 401(k) plan with company match.
  • Short and long-term disability benefits.
  • Generous paid time off and paid holidays.
  • Life insurance and wellness programs available.
Full Job Description
Description & Requirements

The 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.

What's the role?

We are looking for a candidate to help build out effective data management solutions and promote practices to define, measure and manage data quality of our datasets. You will think strategically, apply data management standard methodologies to the data sets, and help us deliver quality data that is ready to use and fit for purpose. To build and maintain your domain expertise, you will be actively involved in the projection process, gaining a deep understanding of how it all works.

As a Senior Data Management Professional, you will work with different teams solving problems and devising solutions for data quality challenges. With that, you would be expected to navigate through unknowns and ambiguity while driving decisions and solutions.

We'll trust you to:

  • Transform how we manage the quality of our datasets, by applying industry best practices to devise quality checks and quality metrics in the ETL processes that create, transform and store data, and measure data against standards defined by our clients' needs
  • Identify and advocating for opportunities to improve the quality of data, through process improvements or workflow infrastructure enhancements
  • Provide guidance on how to implement processes to measure, monitor and report on data quality to our internal partners in Product or Sales
  • Develop, refine, and deliver the strategy for how to achieve best-in-class data quality, and champion organizational change around data quality as a domain of data management
  • Ensure our data is fit-for-purpose and ready-to-use by proactively reviewing the depth, timeliness and accuracy of dataset against user`s expectations
  • Perform data profiling and apply statistical methods to support data quality measurements
  • Be responsive, resourceful, flexible and an excellent collaborator - Partner with our Product, Technology and Data Management Lab to ensure consistent principles are leveraged, data quality tools are fit for purpose, and results will be measurable
  • Keep up with the industry trends, standards, and innovation in the Data Quality domain


You'll need to have:

  • 4+ years of professional experience in data quality management, and/or establishing data governance metrics within Finance or Technology industries
  • 4+ years of experience in crafting and developing data quality metrics and reporting using tools such as QlikSense and PowerBI
  • 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 projects with global scope in parallel, with superb communication and stakeholder management skills


We'd love to see:

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


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.

About Bloomberg

Bloomberg L.P. is a privately held financial, software, data, and media company headquartered in Midtown Manhattan, New York City. It was founded by Michael Bloomberg in 1981, with the help of Thomas Secunda, Duncan MacMillan, Charles Zegar, and a 12% ownership investment by Merrill Lynch. Bloomberg L.P. provides financial software tools and enterprise applications such as analytics and equity trading platform, data services, and news to financial companies and organizations through the Bloomberg Terminal (via its Bloomberg Professional Service), its core revenue-generating product. Bloomberg L.P. also includes a wire service (Bloomberg News), a global television network (Bloomberg Television), digital websites, a radio station (WBBR), subscription-only newsletters, and three magazines: Bloomberg Businessweek, Bloomberg Markets, and Bloomberg Pursuits.
Learn more about Bloomberg
Size
20,000 employees
Industry
Founded
1981

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