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Job listing closed on 17 May 2024
9 May 2024

Data Steward

🇺🇸 Cleveland, OH, USA
Full Time
0+ years exp.

Cavaliers Holdings LLC is committed to delivering epic experiences for our fans, team members, community, and the world. Fueled by a diverse, equitable and inclusive culture, we strive to recruit individuals that will be enthusiastic and purposeful in carrying out our vision as Transformative Leaders in Sports and Entertainment. If you are ready to work in the fast-paced and high-energy setting of the Cavs, Monsters, Charge, Legion and Rocket Mortgage FieldHouse— then we want to talk to YOU!


The Data Steward will support the organization's data governance initiatives, collaborating with Ticket Sales and other departments on data-driven projects and process optimization. Focusing on data pipelines, quality, and documentation, the Data Steward will ensure data accuracy, consistency, and proper usage across the organization.

*** This is an entry-level position seeking candidates with 6-12 months of relevant work or internship experience. This position works onsite at Rocket Mortgage FieldHouse 5 days per week.


  • Develop and maintain data pipelines using Python and SQL.
  • Perform data quality checks, identify issues, and implement improvements.
  • Collaborate with cross-functional teams to resolve data quality issues.
  • Maintain data documentation (data dictionaries, metadata repositories, lineage diagrams).
  • Assist in developing and implementing data governance policies, procedures, and standards.
  • Participate in data profiling and cleansing activities.
  • Provide user support on data-related questions and best practices.
  • Monitor and report on data quality metrics and KPIs.
  • Assist with data orchestration tasks.
  • Stay current with data governance and management trends and best practices.


  • Bachelor's degree in a quantitative, business, or operations field. Preferably in data analytics, computer science, statistics, mathematics, etc.
  • Understanding of data management principles, modeling, and architecture.
  • Familiarity with data quality concepts, profiling techniques, and cleansing methodologies.
  • Proficiency in Python and SQL for data manipulation and pipeline development.
  • Experience with Business Intelligence and reporting software (Tableau preferred).
  • Experience with CRM software (Salesforce preferred).
  • Familiarity with AWS services (S3, Redshift, Postgres).
  • Knowledge of data orchestration tools (Prefect preferred).
  • Understanding of data privacy and security regulations.
  • Knowledge of data documentation tools.
  • Strong communication and interpersonal skills; ability to collaborate with cross-functional teams.
  • Detail-oriented with strong analytical, critical thinking, and problem-solving skills.
  • Ability to work independently, be self-directed, and demonstrate initiative.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.