Senior Data Analyst, Product

Summary

Join PENN Entertainment's Product Data Insights & Analytics team as a Data Analyst and contribute to developing data-driven solutions that enhance profitability, growth, and user experience for our digital products. You will collaborate with stakeholders, leverage data to track product performance, and provide insightful recommendations. The role involves working with complex datasets, creating custom reports, and understanding user interactions with our platforms (ESPN Bet, Hollywood Casino, theScore Bet, theScore apps/websites). You will also support team members, assist with data exploration tool implementation, and liaise with data engineers. This position requires strong communication skills, a passion for data, and a background in quantitative analysis. PENN Entertainment offers a competitive compensation package, a fun work environment, and opportunities for career progression.

Requirements

• 4+ years of hands on experience working as a Data Analyst
• 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

Responsibilities

• 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 other team members 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

Benefits

• Competitive compensation package
• Fun, relaxed work environment
• Education and conference reimbursements
• Opportunities for career progression and mentoring others
• Day-one medical coverage
• 401(k) matching
• Annual performance bonus
• Equity package
• Paid time off is earned according to the local policy and increases with the length of employment