Data Analyst, Product - Remote

Overview

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.

In Short

• 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.

Requirements

• 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.

Benefits

• Competitive compensation package.
• Fun, relaxed work environment.
• Education and conference reimbursements.
• Parental leave top up.
• Opportunities for career progression and mentoring others.