BI & Data Analytics Specialist

RaceTrac Petroleum, Inc.; United States; On-site; USD 75,000 - 95,000; Full time

Job summary

RaceTrac Petroleum, Inc. seeks a Business Analyst II to deliver advanced analytics and reporting for POS operations, loyalty, pricebook accuracy, and operational decision-making.

You will own data modeling, automation, and data quality initiatives while partnering with Operations, POS, Loyalty, Finance, and Data Engineering to deliver actionable insights that drive performance. Responsibilities include building scalable data models, developing enterprise reports, and guiding data governance

Qualifications

• Bachelor's degree in a quantitative field or related area.
• 2-4+ years in analytics, reporting, BI, or data analysis.
• Advanced Power BI and SQL skills; familiarity with Databricks recommended.

Responsibilities

• Design, develop, and enhance enterprise reporting and analytics solutions using Power BI, SQL, and Databricks.
• Build and optimize scalable data models across POS, loyalty, pricebook, and finance data.
• Collaborate with Data Engineering on data pipelines, APIs, and integrations.
• Deliver standardized dashboards for performance tracking and operational visibility.
• Govern item, pricebook, and operational data across systems.
• Design and monitor exception reporting to identify data quality issues.
• Partner with POS teams and vendors on enhancements, implementations, and issue resolution.
• Identify automation opportunities using analytics and AI-assisted tools.
• Conduct ad hoc and deep-dive analyses to inform initiatives.
• Translate complex data into actionable insights for stakeholders.

Skills

Power BI

SQL

Databricks

APIs

Python

AI-assisted tools

Automation

Education

Bachelor's degree in Data Analytics, Business, Finance, Information Systems, or related field

Tools

Databricks

Job description

RaceTrac Petroleum, Inc. seeks a Business Analyst II to deliver advanced analytics and reporting for POS operations, loyalty, pricebook accuracy, and operational decision-making.

You will own data modeling, automation, and data quality initiatives while partnering with Operations, POS, Loyalty, Finance, and Data Engineering to deliver actionable insights that drive performance. Responsibilities include building scalable data models, developing enterprise reports, and guiding data governance