Project Employee, Data Entry & Management
New York, NY, United States of America(US), 10022
This is a temporary position with an expected duration not to exceed (10) months.
Position Summary:
In this role on the NBA’s Content Strategy & Business Intelligence team, you will be responsible for building and maintaining the NBA’s extensive social and digital content databases and processes. Reporting into the Sr. Director of Digital Data Strategy & Analytics, you will collaborate with data scientists, analysts, and various stakeholders across the league to identify data opportunities that will support content reporting and analytics.
Major Responsibilities:
- Own social content tagging process that powers content dashboards shared company-wide, including executive leadership
- Monitor and update content taxonomy as needed to include new content franchises, players, and initiatives in tagging process
- Develop and maintain data tracking schedule to fill data gaps across platforms
- Monitor data and API connections in Fivetran and communicate errors and findings to database solutions team
- Maintain manual data entry and export/upload process for platforms with API gaps
- Collaborate on data management projects (e.g., data standardization projects, data mapping)
- Collaborate with content strategy team to determine data gaps and opportunities
Required Experience & Knowledge:
- Familiarity with NBA basketball, including knowledge of players, teams, plays, and storylines, required
- Intermediate experience working with Microsoft Excel
- Detail oriented data background and exemplary analytical skills
- Knowledge of social media and digital data a plus
- Ability to work within demanding timeframes in a dynamic environment
- High attention to detail, design, and innovation
- Passion for data and eagerness to learn new analytics tools and languages
Educational Background Required:
- High School Diploma or higher
Job Segment:
Project Manager, Database, Data Entry, Content Strategy, Data Management, Technology, Administrative, Marketing, Data