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Senior Data Management Professional - Data Product Owner - Company Financials, Healthcare

Bloomberg

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Bloomberg runs on data. In Bloomberg Data, we’re responsible for on-boarding, standardizing, analyzing and supplying it to our clients for their financial data needs.

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 the 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 continuously looking to improve 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.

The Role:

The Company Financials Healthcare Team is looking for an Industry Product Owner passionate about developing the commercialization strategy for the Healthcare sector. This role is key in setting strategy for our Healthcare datasets for global companies. You will need to be able to navigate through unknowns and ambiguity while making impactful decisions and be the driving force for solutions.

In this role, you will be expected to drive the strategy for the Healthcare datasets and be the link that connects the team, product, and datasets with its users. This position requires extensive collaboration with global colleagues and partners such as Product, News, Bloomberg Intelligence, Sales & Analytics, our Data Governance team, Engineering, and most importantly external clients.

We'll trust you to:

  • Bring deep expertise of the Healthcare sector (& datasets) to drive Bloomberg’s data strategy.
  • Understand customer needs and markets to ensure our consumer datasets are fit-for-purpose.
  • Identify, support, and develop strategies for new datasets.
  • Drive marketing efforts for product developments via sales campaigns, webinars, news and social media.
  • Take ownership of the quality of our Healthcare data making sure it is fit-for-purpose for clients.
  • Develop data-driven strategies, balancing the best of technical and product knowledge, and work with our engineering and product departments to craft solutions.
  • Make effective decisions in a fast-paced, rapidly changing environment.
  • Mentor the global Healthcare team on industry trends, financial modeling, large and sophisticated data projects, and business initiatives related to the Healthcare industry.

You'll need to have:

  • Bachelor’s degree in Finance, Accounting, Statistics, Business, or related field.
  • 4+ years’ experience of professional work experience in Data Product Ownership or related field.
  • Understanding of the mechanics of the Healthcare industry or a sub-sector, ability to quantify trends impacting the industry, and ability to provide analysis that can shape commercial decisions.
  • Deep knowledge of financial statement analysis, financial modeling and industry analysis.
  • A solid grasp of data management principles and technologies such as data modeling, data analysis and statistics to tell a narrative and/or generate data-driven insights.
  • Strategic approach to align client needs with team goals.
  • Excellent interpersonal skills, allowing you to clearly communicate business needs.
  • Proven ability to establish strong credibility and build influential relationships with multiple internal and external clients and partners.
  • Understanding of data integration using multiple data sources.
  • Creative and flexible approach to problem solving, aided by strong data analysis skills.
  • Understanding of quality assurance and quality control from a data and product perspective.
  • Proficiency using scripting languages (preferably Python) to query and interrogate datasets.
  • Experience using data visualization tools such as QlikSense and tableau.
  • Proven track record of effective project management and meeting deliverables.

We’d love to see:

  • Master’s degree in relevant field and/or CFA designation (or working towards it).
  • Familiarity with Healthcare analytics data and available industry statistics.
  • Experience or knowledge in Bloomberg Company Financials products, Bloomberg terminal proficiency, and/or Bloomberg data workflows.
  • Experience using statistical methods, programming, and machine learning approaches to promote and measure data quality and generate insights.
  • Experience manipulating and wrangling large datasets.
  • Experience profiling datasets and coming up with necessary requirements.

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 parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email AMER_recruit@bloomberg.net (Americas), EMEA_recruit@bloomberg.net (Europe, the Middle East and Africa), or APAC_recruit@bloomberg.net (Asia-Pacific), based on the region you are submitting an application for.

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