Data Analyst

Summary

Join PENN Entertainment's Data Intelligence team at theScore as a Data Analyst and contribute to developing data-driven solutions that enhance profitability, growth, and user experience. Collaborate with stakeholders to leverage data for performance tracking and decision-making. The ideal candidate possesses strong communication skills, a passion for data, a quantitative analysis background, and an interest in sports, betting, and eSports. You will build dashboards, foster data tool adoption, perform deep-dive analyses, optimize workflows, and collaborate with various teams. PENN Entertainment offers a competitive compensation package, a fun work environment, education reimbursements, parental leave top-up, and career progression opportunities.

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
• A passion and curiosity for solving analytical problems using quantitative approaches
• Ability to take complex data and present it in a clear and simple manner
• Ability to focus in a fast paced environment and multitask
• Experience with BI tools such as Looker, Mode, Periscope, ThoughtSpot, Tableau etc
• Excellent written and oral communications skills

Responsibilities

• Build dashboards & develop backend capabilities of our Data Exploration tools (Mode, Looker, dbtCloud)
• Foster adoption of our data exploration tool across the organization
• Liaise with business stakeholders to identify data driven projects and opportunities
• Perform deep dive analysis using appropriate advanced analytics techniques to give business insights & recommendations
• Critique existing workflows & data pipelines to identify opportunities for optimization or improved efficiency
• Work with several stakeholder teams (listed below) to design, test and analyze user behavior data on our apps & websites
• Has experience working with Fraud & AML, Responsible Gaming, Content, Sales, Operations or the Executive Suite
• Design, create, execute and measure results from A/B and multivariate testing
• Liaise with data engineers to build data pipelines and solve related issues
• Continuously improve analytics implementation and adapt to changing technologies
• Stay on top of emerging trends in the digital industry

Preferred Qualifications

• Experience with dbt Core or dbtCloud is extremely helpful but not required
• Familiarity with analysis tools; R or Python packages are preferred

Benefits

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