Analytics Engineer
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Toronto, Ontario, Canada
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Entry level
theScore, a wholly-owned subsidiary of PENN Entertainment , empowers millions of sports fans through its digital media and sports betting products. Its media app ātheScoreā 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. theScoreās sports betting app ātheScore Bet Sportsbook & Casinoā 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.
About The Role & Team
On the Data Insights & Analytics team, our mission is to develop high-quality and sustainable data-driven solutions to improve profitability, growth and the user experience. As an Analytics Engineer, youāll work with all the key stakeholder groups to help them leverage data to track performance, make better decisions and ultimately reach their goals. The ideal candidate has strong communications skills, a passion for data, a background in quantitative analysis and likely has an interest in professional sports, betting & eSports.
About The Work
As a key member of our Analytics Engineering team you will:
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.
About The Role & Team
On the Data Insights & Analytics team, our mission is to develop high-quality and sustainable data-driven solutions to improve profitability, growth and the user experience. As an Analytics Engineer, youāll work with all the key stakeholder groups to help them leverage data to track performance, make better decisions and ultimately reach their goals. The ideal candidate has strong communications skills, a passion for data, a background in quantitative analysis and likely has an interest in professional sports, betting & eSports.
About The Work
As a key member of our Analytics Engineering team you will:
- Liaise with business stakeholders to identify data driven projects and opportunities.
- Collaborate with stakeholders on data modeling requests to gather and refine requirements
- Liaise with data engineers to build data pipelines and solve related issues.
- Use your SQL expertise to develop and maintain 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.
- University degree in Computer Science, Statistics, Business, or related field.
- 3+ 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 ThoughtSpot, 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
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.