Analytics Engineer
Description For Analytics Engineer
theScore, a subsidiary of PENN Entertainment, is a leading digital media and sports betting company. Their popular app 'theScore' provides personalized live scores, news, stats, and betting information to millions of sports fans in North America. They also offer 'theScore Bet Sportsbook & Casino' app for mobile sports betting and iCasino experience.
As an Analytics Engineer on the Data Insights & Analytics team, you'll play a crucial role in developing data-driven solutions to improve profitability, growth, and user experience. You'll work with key stakeholders to leverage data for tracking performance and making better decisions.
Key responsibilities include:
- Liaising with business stakeholders and data engineers
- Developing dbt models using SQL expertise
- Managing Airflow tasks and scheduling
- Assisting team members with data analysis and modeling
- Presenting recommendations to business stakeholders
- Identifying opportunities for advanced analytics
- Overseeing team analysis for accuracy
- Implementing data exploration tools
- Mentoring Data Analysts and Analytics Engineers
- Contributing to the company's analytics strategy
The ideal candidate has strong communication skills, a passion for data, a background in quantitative analysis, and an interest in professional sports, betting & eSports.
Requirements include:
- 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
- Experience with dbt, data exploration tools (e.g., Looker or Tableau), and analysis tools (Python preferred)
- Ability to present complex data clearly to cross-functional groups
theScore offers a competitive compensation package, including RRSP Matching Program, a fun work environment, education and conference reimbursements, parental leave top-up, and opportunities for career progression.
Responsibilities For Analytics Engineer
- Liaise with business stakeholders to identify data driven projects and opportunities
- Liaise with data engineers to build data pipelines and solve related issues
- Use 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
Requirements For Analytics Engineer
- 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
Benefits For Analytics Engineer
- Competitive compensation package
- 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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