Business Intelligence Engineer

Penn Interactive

2d • $80,000 - $115,000

About The Position

The Business Intelligence Engineer investigates and disseminates centralized data sources to expand the reliability and scope of the corporate Enterprise Data Warehouse as a source of truth among supported teams. The role distills transactional data into valuable, relatable KPIs for business partners in areas such as Marketing, Gaming, Hotel, Food and Beverage, Finance, and Human Resources. The engineer provides data direction to property analyst teams, supports advanced analytics and modeling, and collaborates with stakeholders to define and communicate data requirements. The position works with PENN Entertainment’s digital team and supports business leaders in understanding their operations.

Requirements

• University degree in Computer Science, Statistics, Business, or a related field.
• At least 3 years of experience in data modeling or analytics.
• Hands-on expertise with SQL, Tableau, and relational databases.
• Familiarity with Tableau or other BI platforms.
• Ability to manage relationships with internal and external stakeholders and ensure alignment and transparency throughout project lifecycles.
• Strong problem-solving, organizational, and prioritization skills.
• Proven ability to communicate with technical and non-technical management.

Nice To Haves

• Awareness of machine learning languages and data modeling using Python.
• Interest in sports, casinos, or consumer products.

Responsibilities

• Provide data direction and education to property analyst teams.
• Serve as gatekeeper for data-related inquiries and ensure accurate data delivery and usage.
• Help facilitate data for advanced analytics and modeling requirements.
• Maintain and escalate data quality practices, including local oversight, risk mitigation, and resolution procedures.
• Identify, collaborate on, and present key data relationships and KPIs to help business leaders understand their operations.
• Monitor data performance and SLA thresholds to support end-user adoption.
• Work with stakeholders across different areas on new data requirements and definitions.
• Present data findings through multiple qualitative communication platforms.
• Perform other duties as required.

Benefits

• Competitive compensation package.
• Education and conference reimbursements.
• Opportunities for career progression and mentoring others.
• Eligible employees receive benefits intended to support their physical, financial, and emotional well-being.
• Most non-sales positions are eligible for a bonus.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level