Team Leader - Entities

USD 135,000-230,000 per year
SENIOR
✅ On-site

Tech Stack

Data Analysis @ 7 Data Engineering @ 4 Data Modeling @ 4 ETL Leadership @ 7 Python @ 4 SQL @ 4 Tableau @ 4

Details

Bloomberg's Data organization delivers data, news, and analytics through innovative technology. The Entity team is responsible for creating and supporting core entity data, assigning risk allocation, and researching corporate hierarchies for more than 7 million public and private companies. The team designs and implements data-processing workflows to meet client timeliness, quality, and coverage requirements.

As Entities Team Leader, you will lead and develop a diverse team, apply data-management practices, identify opportunities to expand coverage, ensure product quality and timeliness, and improve processes in collaboration with Data, Product, and Engineering teams.

Responsibilities

  • Recruit, mentor, and develop a team of data professionals working with time-sensitive financial data, data analysis, and project management.
  • Collaborate globally with Data and core business groups, including Product, Sales, News, and Engineering, to develop and improve data and functionality across the terminal.
  • Establish proactive data-quality management methodologies supported by customer-focused metrics and processes.
  • Develop data-modeling and ETL skills within the team while collaborating with Engineering to build robust datasets that increase client value.
  • Build data-delivery processes that surpass client expectations using data-governance expertise.
  • Monitor industry trends and standard processes to proactively identify opportunities for improvement.

Requirements

  • Bachelor's degree, preferably in Economics, Finance, STEM, or a related business field.
  • At least 3 years of relevant leadership experience, or strong relevant individual-contributor experience combined with relevant domain knowledge.
  • Proven experience in data management, such as data quality, data modeling, and/or data engineering.
  • Experience analyzing data with tools such as Python, SQL, and/or Tableau.
  • Experience working with large datasets and quantifying industry-impacting trends.
  • Ability to use qualitative and quantitative evidence to drive commercial decisions.
  • Strategic vision to align team goals while providing excellent service to business and internal and external clients.
  • Experience implementing a product strategy that delivers on its vision.
  • Excellent interpersonal skills for establishing credibility and influential relationships and communicating business needs and operational strategy to internal and external partners.
  • Creative and flexible problem-solving approach supported by strong data-analysis skills.

Compensation and Benefits

The salary range is $135,000–$230,000 USD annually, plus benefits and bonus. Benefits may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, short- and long-term disability benefits, 401(k) matching, life insurance, and wellness programs. Actual compensation may vary based on geographic location, work experience, market conditions, education, training, and skill level.

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