BI Engineer: Enterprise Data & KPIs (Remote)

PENN Interactive; Oregon; Hybrid; USD 80,000 - 115,000; Full time

Benefits offered by this job

Competitive compensation package

Relaxed work environment

Education and conference reimburse m-?

Career progression and mentoring

Job summary

Penn Interactive is seeking a Business Intelligence Engineer to centralize data for the Enterprise Data Warehouse and distill transactional data into KPIs for partners across Marketing, Gaming, Hotel, F&B, Finance, and HR.

You will provide data guidance, ensure accurate data delivery, and support advanced analytics while upholding data quality and governance. Collaboration with stakeholders is essential.

Qualifications

• University degree in Computer Science, Statistics, Business, or related field.
• 3+ years of experience in data modeling or analytics.
• Hands-on with SQL and relational databases.
• Familiarity with Tableau or other BI platforms.

Responsibilities

• Provide data direction and education to property analyst teams.
• Gatekeeper for data inquiries and ensure accurate delivery/usage.
• Facilitate data for advanced analytics/modeling requirements.
• Maintain and elevate data quality practices and risk mitigation.
• Identify, collaborate, and present data relationships and KPIs for business leaders.
• Monitor data performance and SLA thresholds for end-user adoption.
• Collaborate with stakeholders on new data requirements and definitions.
• Present data findings through multiple qualitative communication platforms.
• Other duties as required.

Skills

Data modeling

Analytics

SQL

Tableau

Relational databases

Python

Stakeholder management

Communication

Sports / gaming interest

Education

Bachelor's degree in Computer Science / Statistics / Business

Tools

Tableau

Job description

Penn Interactive is seeking a Business Intelligence Engineer to centralize data for the Enterprise Data Warehouse and distill transactional data into KPIs for partners across Marketing, Gaming, Hotel, F&B, Finance, and HR.

You will provide data guidance, ensure accurate data delivery, and support advanced analytics while upholding data quality and governance. Collaboration with stakeholders is essential.