PENN Entertainment aims to solve the problem of delivering integrated entertainment, sports content, and casino gaming experiences through cutting-edge online platforms like theScore and PENN Interactive. The role focuses on supporting data-driven decision-making for business stakeholders in the gaming and sports betting industry.
Requirements
- University degree in Computer Science, Statistics, Business, or related field.
- Minimum of 4+ years of experience in analytics engineering/data engineering.
- Hands-on expertise with our technology stack: BigQuery, dbt, Airflow, Python, and relational databases.
- Proven track record in building and optimizing data transformation pipelines.
- Experience with a data exploration tool such as Looker or Mode.
Responsibilities
- Liaise with business stakeholders to identify data driven projects and opportunities.
- Liaise with data engineers to build data pipelines and solve related issues.
- Use your SQL expertise to develop dbt models.
- Manage Airflow tasks and scheduling.
- Assist team members in solving data issues related to both analysis and modeling.
- Complete analyses and present clear recommendations to business stakeholders.
- Oversee team's analysis to ensure data and insights shared are accurate and informative.
Other
- Interest in Sports and consumer products.
- You excel in managing relationships with both internal and external stakeholders, ensuring alignment and transparency throughout project lifecycles.
- You excel in fast-paced environments, employing a pragmatic and adaptive approach to problem-solving.
- Provide support on data engineer hiring, onboarding and continued professional development. Mentor others.
- Other duties as required.
