Data Analyst, Enterprise

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 & TeamOn the Data Intelligence team at theScore, our mission is to develop high-quality and sustainable data-driven solutions to improve profitability, growth and the user experience. As a Data Analyst, you’ll 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 an interest in professional sports, betting & eSports.

About The WorkAs a key member of our Analytics team you will: Build dashboards & develop backend capabilities of our Data Exploration tools (Mode, Looker, dbtCloud) Foster adoption of our data exploration tool across the organization Liaise with business stakeholders to identify data driven projects and opportunities.

Perform deep dive analysis using appropriate advanced analytics techniques to give business insights & recommendations Critique existing workflows & data pipelines to identify opportunities for optimization or improved efficiency Work with several stakeholder teams (listed below) to design, test and analyze user behavior data on our apps & websites Has experience working with Fraud & AML, Responsible Gaming, Content, Sales, Operations or the Executive Suite Design, create, execute and measure results from A/B and multivariate testing. Liaise with data engineers to build data pipelines and solve related issues. Continuously improve analytics implementation and adapt to changing technologies.

Stay on top of emerging trends in the digital industry. About YouUniversity degree in Computer Science, Statistics, Business, or related field. 2+ years of experience in data analysis. Strong knowledge of relational databases and SQL. A passion and curiosity for solving analytical problems using quantitative approaches. Ability to take complex data and present it in a clear and simple manner. Ability to focus in a fast paced environment and multitask. Experience with BI tools such as Looker, Mode, Periscope, ThoughtSpot, Tableau etc.

Experience with dbt Core or dbtCloud is extremely helpful but not required Familiarity with analysis tools; R or Python packages are preferred. Excellent written and oral communications skills. What We OfferCompetitive compensation package Fun, relaxed work environment Education and conference reimbursements. Parental leave top up Opportunities for career progression and mentoring others Candidates residing in Ontario requiring special accommodation can email accessibilityoffice@thescore. comtheScore 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.