theScore, a wholly-owned subsidiary of PENN Entertainment , empowers millions of sports fans through its digital media and sports betting products. Its media app ‘theScore’ is one of the most popular in North America, delivering fans highly personalized live scores, news, stats, and betting information from their favorite teams, leagues, and players. theScore’s sports betting app ‘theScore Bet Sportsbook & Casino’ delivers an immersive and holistic mobile sports betting and iCasino experience. theScore Bet is currently live in the Company's home province of Ontario. theScore also creates and distributes innovative digital content through its web, social and esports platforms.
- Liaise with business stakeholders to identify data driven projects and opportunities.
- Liaise with data engineers to build data pipelines and solve related issues.
- Use your SQL expertise to develop dbt models.
- Manage Airflow tasks and scheduling.
- Assist team members in solving data issues related to both analysis and modeling.
- Complete analyses and present clear recommendations to business stakeholders.
- Identify opportunities to apply data modeling and advanced analytics techniques to drive insights.
- Oversee team's analysis to ensure data and insights shared are accurate and informative.
- Help with implementation & adoption of a data exploration tool across the organization
- Provide support on data analyst hiring, onboarding and continued professional development. Mentor Data Analysts and Analytics Engineers
- Work with the leadership team to define strategy & direction of Analytics at theScore.
- University degree in Computer Science, Statistics, Business, or related field.
- 4+ years of experience in analytics, preferably at a digital company.
- Strong Knowledge of relational databases and SQL.
- Hands-on experience with dbt, including building models and documentation.
- Experience with a data exploration tool such as Looker or Tableau.
- A passion and curiosity for solving analytical problems using quantitative approaches.
- Ability to take complex data and present it in a clear manner to cross-functional groups.
- Knowledge of analysis tools; Python preferred.
- Experience supporting a business domain such as Data Science and/or Data Analytics would be an asset.
- Competitive compensation package, including RRSP Matching Program
- Fun, relaxed work environment
- Education and conference reimbursements.
- Parental leave top up
- Opportunities for career progression and mentoring others
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Candidates residing in Ontario requiring special accommodation can email accessibilityoffice@thescore.com
theScore is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability or age.
