Data Analyst, Enterprise - 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 on the Data Intelligence team to develop data-driven solutions.
• Build dashboards and develop backend capabilities of data exploration tools.
• Foster adoption of data exploration tools across the organization.
• Liaise with business stakeholders to identify data-driven projects.
• Perform deep dive analysis to provide business insights.
• Critique existing workflows and data pipelines for optimization.
• Design and execute A/B and multivariate testing.
• Collaborate with data engineers to build data pipelines.
• Continuously improve analytics implementation.
• Stay updated on emerging trends in the digital industry.

Requirements

• University degree in Computer Science, Statistics, Business, or related field.
• 2+ years of experience in data analysis.
• Strong knowledge of relational databases and SQL.
• Passion for solving analytical problems using quantitative approaches.
• Ability to present complex data clearly.
• Ability to multitask in a fast-paced environment.
• Experience with BI tools like Looker, Mode, Tableau, etc.
• Familiarity with R or Python packages preferred.
• Excellent written and oral communication skills.

Benefits

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