AddressBloomberg 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 optimize the value of our data by combining our domain and technical expertise to make our data fit-for-purpose, timely and accurate. We apply our problem-solving skills to identify innovative workflow efficiencies and deliver a high level of customer service.
Our Team:
The Entity team is responsible for the creation and support of core entity data, assignment of risk allocation, and corporate hierarchy research for over 7 million public and private companies. To accomplish this, the team relies on the design and implementation of data processing workflows that aim to meet our client’s timeliness, quality, and coverage needs.
What’s the role?
As the Entities Team Leader, you will play a key role in developing and leading individuals with a diverse set of backgrounds ranging from Data Analysts to Data Management professionals. You will lead by example in understanding data management practices and the broader environment in which the team operates which are crucial to guide the team successfully.
You are expected to bring a strategic approach and guide the team to find opportunities to expand coverage, ensure quality and timeliness of the product, and improve processes closely with teams across data, product, and engineering.
We’ll Trust You To:
- Recruit, mentor, and develop a team of Data Analysts and Data Management professionals who are experts in their field through processing time-sensitive, high-quality financial data, data analysis, and project management
- Collaborate globally with other data and core business groups, such as Product, Sales, News, and Engineering to help develop and improve fit-for-purpose data and functionality across the terminal
- Encourage the team to craft and implement proactive data quality management standard methodologies supported by customer-focused metrics and processes
- Develop data modeling and ETL skills within the team while collaborating with Engineering teams to develop a robust dataset that increases client’s value
- Build processes that enable the best methods of delivering data that surpasses client expectations using data governance expertise
- Stay up to date with industry trends and standard processes to be able to proactively spot opportunities for improvement
You’ll Need to Have:
- 3+ years of relevant leadership experience or strong relevant experience as an individual contributor as well as relevant domain knowledge
- Bachelor's degree, preferably in Economics, Finance, STEM, or related business field
- Proven experience in a data management related role such as Data Quality, Data Modeling, and/or Data Engineering
- Proven experience with data analysis using tools such as Python, SQL, and/or Tableau
- Experience working with large datasets alongside the ability to quantify trends impacting the industry
- Ability to use qualitative and quantitative evidence to drive commercial decisions
- Strategic vision to align your team's goals while providing outstanding service to business and other internal/external clients
- Experience implementing a product strategy which delivers on that vision
- Superb interpersonal skills to establish strong credibility and influential relationships in order to communicate business needs and an operational strategy to internal and external partners
- Creative and flexible approach to problem solving, aided by strong data analysis skills
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.
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