Remote BI Engineer - Data, KPIs & Dashboards

The Score; United States; Hybrid; USD 80,000 - 115,000; Full time

Benefits offered by this job

Competitive compensation package

Fun, relaxed work environment

Education and conference reimburse. s

Mentoring opportunities

Job summary

Penn Interactive is seeking a Business Intelligence Engineer to distill transactional data into valuable KPIs for partners across Marketing, Gaming, Finance, and HR. You will guide analyst teams, ensure data accuracy, and enable advanced analytics while maintaining high data quality and cross-functional collaboration.

The role emphasizes data governance, stakeholder communication, and the ability to translate complex data into actionable insights with a focus on sports, entertainment, and

Qualifications

• Minimum 3+ years of experience in data modeling or analytics.

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 to understand operations.
• Monitor data performance and SLA thresholds to assure end-user adoption.
• Work with stakeholders across different areas on new data requirements and definitions.
• Present data findings through multiple qualitative communication platforms.
• Other duties as required

Skills

Data modeling

Analytics

Data visualization

Stakeholder management

Communication

Education

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

Tools

SQL

Tableau

Relational databases

Python

Job description

Penn Interactive is seeking a Business Intelligence Engineer to distill transactional data into valuable KPIs for partners across Marketing, Gaming, Finance, and HR. You will guide analyst teams, ensure data accuracy, and enable advanced analytics while maintaining high data quality and cross-functional collaboration.

The role emphasizes data governance, stakeholder communication, and the ability to translate complex data into actionable insights with a focus on sports, entertainment, and