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theScore

Data Analyst, Enterprise

Toronto, Ontario
SQL R Python
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Description

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.

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 Enterprise Data Analyst, your primary goal will involve making operational improvements to the Data Analytics stack; increasing the performance and stability of the system, improving data quality, and ensuring Data Analysts are upholding best practices in coding and documentation. You’ll work with other Analytics verticals (your stakeholders!) to understand their operational pain points (slow queries, inefficient dashboards, data quality issues, etc.), monitor components of the Analytics stack, and make improvements to our codebase. The ideal candidate has strong SQL and Database Management skills, experience working with a similar tech stack, a passion for data, and an interest in professional sports, betting & eSports.
 
About the Work
 
As a key member of our Data Analytics team, you will:
  • Help enhance the useability and adoption of a data exploration tool across the organization.
  • Reduce query and model run times, simplify inter-DAG dependencies, and continuously improve on best practices and documentation.
  • Liaise with analytics engineers to build curated data models and solve related issues.
  • Assist team members in solving data issues related to both analysis and modeling.
  • Develop a deep understanding of how users interact with theScore/ESPN Bet apps and websites.
  • Complete analyses and present clear recommendations to business stakeholders.
  • Identify opportunities to apply data modeling and advanced analytics techniques to drive insights.
  • Peer review team's analyses to ensure data and insights shared are accurate and informative.
  • Mentor Junior Data Analysts.
  • Work with the leadership team to help define strategy & direction of Analytics at theScore.
  • Stay on top of emerging trends in media, sports betting, analytics & marketing industries.
About You
  • 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.
  • Experience with data exploration tools such as: Looker, Mode, ThoughtSpot, Tableau, Power BI, and Periscope/Sisense.
  • Experience with dbt or dbt Cloud.
  • Experience with modern data warehouses such as: Redshift, BigQuery, Snowflake, and Synapse.
  • 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.
  • Ability to focus in a fast paced environment and multitask.
  • Excellent written and oral communications skills.
  • Knowledge of analysis tools; R or Python packages preferred.
What We Offer
  • Competitive compensation package
  • Fun, relaxed work environment
  • Education and conference reimbursements.
  • Parental leave top up
  • Opportunities for career progression and mentoring others

#LI-Hybrid

#Li-Remote

 

 

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.

 

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