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Data Analyst, Product 

Job Posted 5 Days Ago Posted 5 Days Ago
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Toronto, ON
Junior
Toronto, ON
Junior
As a Data Analyst, you will work with stakeholders on product feature performance using complex data sets, create reports, and support analytics needs.
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PENN Entertainment, Inc. is North America’s leading provider of integrated entertainment, sports content, and casino gaming experiences. From casinos and racetracks to online gaming, sports betting and entertainment content, we deliver the experiences people want, how and where they want them.

We’re always on the lookout for those who are passionate about creating and delivering cutting-edge online gaming and sports media products. Whether it’s through ESPN BET, Hollywood Casino, theScore Bet Sportsbook & Casino, or theScore media app, we’re excited to push the boundaries of what’s possible. These state-of-the-art platforms are powered by proprietary in-house technology, a key component of PENN’s omnichannel gaming and entertainment strategy.

When you join PENN Entertainment’s digital team, you’ll not only work on these cutting-edge platforms through theScore and PENN Interactive, but you’ll also be part of a company that truly cares about your career growth. We’re committed to supporting you as you expand your skills and explore new opportunities.

With locations throughout North America, you can build a future at PENN Entertainment wherever you are. If you want to challenge conventions in gaming, media and entertainment, we want to talk to you.

About the Role & Team
The Product Data Insights & Analytics team , our mission is to develop high-quality and sustainable data-driven solutions to improve profitability, growth and the user experience of our digital products. As a Data Analyst, you’ll work with all the key product stakeholder groups to help them leverage data to track product feature 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 an interest in working with digital products. 

About the Work 

As a key member of our product analytics team you will: 

  • Work with complex data sets to answer questions and uncover new insights on product features
  • Create and build custom reports and complete analyses and present clear recommendations to business stakeholders.  
  • Develop a deep understanding of how users interact with ESPN Bet / Hollywood Casino / theScore Bet / theScore apps and websites.
  • Support Intermediate & Senior Data Analysts on project needs, data issues relating to both analysis and modeling.
  • Help with implementation & adoption of a data exploration tool across the organization.
  • Liaise with data engineers to build data pipelines and solve related issues.
  • 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.
  • Strong Knowledge of relational databases and SQL. Ability to write and troubleshoot complex SQL queries under minimal directions.
  • Experience with data exploration tools such as: Looker, Mode, Amplitude
  • A passion and curiosity for solving analytical problems using quantitative approaches.
  • Ability to take complex data and present it in a clear manner to business stakeholders.
  • Ability to focus in a fast-paced environment and multitask.
  • Excellent written and oral communications skills.
  • Eager to learn from others and help others grow with you.  

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.

 

Top Skills

Amplitude
Looker
Mode
SQL

theScore Toronto, Ontario, CAN Office

125 Queens Quay E, Toronto, Ontario, Canada, M5A 0Z6

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