Analytics Engineer at Penn Interactive
Toronto, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

11 Dec, 25

Salary

0.0

Posted On

12 Sep, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

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.

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Responsibilities

On the Reporting team at theScore, our mission is to develop high-quality and sustainable automated solutions to meet the financial and regulatory reporting requirements for our iGaming business. As an Analytics Engineer, you’ll work hand-in-hand with the Data Engineering team to build, validate and deliver reports to meet the specific requirements in each betting jurisdiction. The ideal candidate has strong SQL skills, a passion for data, a background in automated reporting and an interest in professional sports, betting & eSports.

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