Remote BI Engineer: Turn Data into Strategic KPIs

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

Benefits offered by this job

Competitive compensation

Relaxed work environment

Education reimbursements

Career progression & mentoring

Job summary

PENN Interactive, part of PENN Entertainment, is seeking a data‑savvy Business Intelligence Engineer to translate transactional data into KPI insights for Marketing, Gaming, Hotel, and Finance teams across North America.

You will enforce data quality, act as gatekeeper for data inquiries, and collaborate with stakeholders to define data relationships and KPIs. A university degree and 3+ years in data analytics are required; SQL, Tableau, and Python are essential.

Qualifications

• University degree in Computer Science, Statistics, Business, or related field.
• You possess a minimum of 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.

Responsibilities

• Provide data direction and education to property analyst teams.
• Gatekeeper for all data-related inquiries and ensure accurate delivery/usage.
• Help facilitate data for advanced analytics/modeling requirements.
• Maintain and escalate data quality practices including local oversight, risk mitigation and resolution procedures.
• Identify, collaborate, and present key data relationships and KPIs for business leaders.

Skills

Data modeling

SQL

Tableau

Python

Stakeholder management

Communication

Education

University degree in Computer Science, Statistics, Business, or related field

Tools

Relational databases

Job description

PENN Interactive, part of PENN Entertainment, is seeking a data‑savvy Business Intelligence Engineer to translate transactional data into KPI insights for Marketing, Gaming, Hotel, and Finance teams across North America.

You will enforce data quality, act as gatekeeper for data inquiries, and collaborate with stakeholders to define data relationships and KPIs. A university degree and 3+ years in data analytics are required; SQL, Tableau, and Python are essential.