Data Team Lead - Company Financials, Industrials, London

Careers at Bloomberg

Back to Search


Posted Aug 10, 2023 - Requisition No. 118067

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 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 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 Industrials team is looking for a Team Leader to develop and lead an impactful team of individuals with diverse experience and expertise focused on the Industrials sector. Your team will demonstrate skills ranging from deep financial modeling to semantic modeling to data engineering.

The Company Financials Industrials Team Leader is expected to guide their teams to think strategically, apply data management standard processes across a wide range of data sets, and to deliver quality data that is ready to use and fit-for-purpose for Bloomberg’s clients. You’ll need to drive the development of financial knowledge, industry knowledge, data analytics, data engineering and more. This position requires extensive collaboration with global colleagues, and partners across business units.

We'll trust you to:

  • Mentor, inspire, and grow a dedicated team of sector experts, data engineers, and product owners to form a collaborative team unit proven through (1) processing time-sensitive, high-quality data, (2) data analysis, (3) data management, and (4) project management.
  • Develop each team member's financial knowledge, technical skills, and industry expertise through coaching and constructive feedback to be able to proactively spot gaps and opportunities for future innovations.
  • Be an advocate for Diversity, Equity and Inclusion, truly understanding its importance to our business, culture, and people.
  • Stay engaged with the Industrials sector and product developments to define, adapt, and lead the Industrials sector data strategy.
  • Lead the team to partner with global counterparts, other data teams, and core business groups, including Product, News, Bloomberg Intelligence and Engineering to help develop and improve fit-for-purpose data that powers our products, including functionality across the product set.
  • Mobilize the team to design and implement proactive data quality management supported by client-focused metrics and process observability (i.e. business intelligence) for Industrials and supporting department-wide initiatives.
  • Develop data modeling and ETL skills within the team and collaborate with Engineering teams to develop a robust Industrials data product that can deliver value across multiple client-facing products (e.g. Terminal, Enterprise files, etc)

You'll need to have:

  • A minimum of 3+ years of relevant leadership experience or strong relevant experience as an individual contributor, and relevant domain knowledge.*
  • Bachelor's degree, preferably in Finance, Economics, a quantitative social science, STEM or related business field.
  • Drive to build a sense of community in your team, and support Diversity, Equity and Inclusion initiatives across the organization.
  • Proven track record to establish strong credibility and build influential relationships with your team as well as multiple internal and external clients and partners.
  • Experience working with large datasets, the ability to quantify trends impacting the industry and other market phenomena, and the ability to use qualitative and quantitative evidence to drive commercial decisions.
  • Solid understanding of financial statement analysis, financial modeling and industry analysis.
  • Strategic vision to align your team's goals around providing outstanding service to both internal and external clients, and the ability to implement a business and people strategy which delivers on that vision.
  • Deep understanding of the mechanics of the Industrials industry or a sub-sector.
  • A strong grasp of data management principles and technologies such as data modeling, data analysis, statistics, and data integration using multiple data sources.
  • Proficiency using scripting languages (preferably Python) to query and interrogate datasets.
  • Excellent communication skills, allowing you to clearly communicate business needs and to advocate on behalf of your team as well as communicate business and operational strategy to your team.
  • Creative and flexible approach to problem solving and a strong solution-seeking posture, aided by strong data analysis skills.
  • *Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.

We’d love to see:

  • Master’s degree in relevant field and/or CFA designation (or working towards it).
  • Demonstrated success leading diverse teams and driving diversity initiatives.
  • Experience or knowledge in Bloomberg Company Financials products, Bloomberg terminal fluency, and/or Bloomberg data workflows.
  • Experience using data visualization tools such as QlikSense and PowerBI.
  • Understanding of Data Governance and Data Management
  • Familiarity with Industrials analytics data and available industry statistics from sources such as Industry Associations.
  • EMEA specific experience working with the Industrials sector

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 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 (Americas), (Europe, the Middle East and Africa), or (Asia-Pacific), based on the region you are submitting an application for. Alternatively, you can get support from our disability partner EmployAbility, please contact +44 7852 764 684 or

Similar jobs

    The Bloomberg Talent Network

    Stay connected with us and be among the first to learn about new job opportunities. We’ll use the information you provide to help us get in touch with you to align your expertise with our opportunities and better direct our conversations.