Senior Data Analyst, Product

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 Our mission is to develop high-quality and sustainable data-driven solutions to improve profitability, growth and the user experience. As a Senior 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 Work As a key member of our Analytics team you will: • Identify business opportunities and present data-driven recommendations to business stakeholders. • Work with complex datasets to answer ambiguous questions and uncover new insights on product features. • Develop a deep understanding of how users interact with ESPN Bet / Hollywood Casino / theScore Bet / theScore apps and websites. • Collaborate with Analytics Engineers to design and optimize data pipelines to improve data model performance. • Help with implementation & adoption of a data exploration tool across the organization. • Stay on top of emerging trends in media, sports betting, analytics & marketing industries. About You • 4+ years of work experience in data analytics or data science roles • 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 with minimal guidance • Experience with data exploration tools such as: Looker, Mode, Amplitude • Experience with data transformation tools such as DBT Cloud and DBT Core • Passionate and curious about solving complex analytical problems using quantitative approaches. • Ability to focus in a fast-paced environment and multitask. • Excellent written and oral communications skills. • Eagerness 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-REMOTE #LI-HYBRID Initial placement within the salary range is based on an individual's relevant knowledge, skills, and experience. Base salary is just one component of our competitive Total Rewards package, which includes wellness programs designed to support our team members' financial, physical, and mental well-being. Specific benefits—such as day-one medical coverage, 401(k) matching, annual performance bonus and equity package — depending on position. Paid time off is earned according to the local policy and increases with the length of employment. Click HERE to discover how we empower team members to grow, thrive, and advance in their careers. Check out our LinkedIn page!