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Business Intelligence Analyst

Job in Oklahoma City, Oklahoma County, Oklahoma, 73116, USA
Listing for: Love's Travel Stops
Full Time position
Listed on 2026-06-23
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Warehousing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Applicants must be legally authorized to work in the United States. We do not provide sponsorship for employment visas now or in the future.

Benefits
  • Fuel Your Growth with Love's - company funded tuition assistance
  • Paid Time Off
  • 401(k) – 100% Match up to 5%
  • Medical/Dental/Vision Insurance the first of the month after 30 days
  • Competitive Pay
  • Career Development

Welcome to Love's:

The Business Intelligence Analyst supports Customer Marketing, Loyalty, and Mobile App teams by translating business needs into scalable, self-service analytics solutions. This role partners closely with stakeholders and Strategic Analytics Partners to understand key questions, define metrics, and deliver intuitive reporting tools that enable users to independently monitor performance and derive insights.

This role sits within Enterprise Analytics and plays an important part in uncovering customer insights, crafting meaningful visuals, monitoring performance, and enabling data-driven decision-making across customer acquisition, retention, and value. The focus of this position is on building high-quality dashboards, data models, and reporting frameworks that provide visibility into customer behavior, program effectiveness, and key performance indicators.

Partner to Define Business Needs
  • Collaborate with Customer Marketing, Loyalty, and Mobile App stakeholders, along with Strategic Analytics Partners, to understand business objectives, key questions, and reporting needs
  • Translate ambiguous business requirements into scalable data solutions, standardized metrics, and reusable reporting frameworks
  • Align on definitions, KPIs, and success measures to ensure consistency across teams and reporting outputs
Enable Self-Service Analytics
  • Design and deliver intuitive, user-friendly dashboards and reporting tools in Tableau and Power BI that empower business users to independently explore data and monitor performance
  • Build scalable data models and curated data sources that support consistent, repeatable self-service analysis
  • Ensure reporting solutions are accessible, well-documented, and aligned to business workflows to maximize adoption and usability
Develop and Maintain Data Solutions
  • Author and maintain advanced SQL queries to create reliable, high-quality datasets across multiple relational database platforms
  • Partner with data engineering teams to define data requirements, source new data, and ensure data is structured for efficient consumption
  • Proactively monitor data quality, identify anomalies, and resolve issues to maintain trust in reporting outputs
Drive Insight and Performance Visibility
  • Enable stakeholders to track customer behavior, campaign performance, and initiative effectiveness through well-designed reporting solutions
  • Support deeper analysis when needed by providing structured datasets and guidance on how to interpret and use available data
  • Create clear, impactful visualizations that highlight trends, opportunities, and performance drivers
Improve and Scale Analytics Capabilities
  • Continuously enhance reporting solutions to improve usability, performance, and scalability
  • Identify opportunities to standardize and automate reporting processes to reduce manual effort and increase speed to insight
  • Incorporate emerging technologies, including AI-assisted tools, to improve efficiency and elevate analytical capabilities
  • Promote best practices in data usage, visualization, and self-service analytics across stakeholder groups
Experience and Qualifications
  • A bachelor's degree is required in a relevant quantitative or business discipline, including but not limited to business analytics, mathematics, statistics, economics, finance, management information systems, computer science, or engineering. A master's degree is preferred.
  • 2-5 years of experience in a business intelligence, reporting, or data analytics role, preferably within retail, sales, marketing, or operations
  • At least 1 year of hands-on experience developing dashboards and reports in Tableau and/or Power BI
  • At least 1 year of hands-on experience writing SQL queries to extract and manipulate data from relational databases
  • Demonstrated proficiency in data management, analytics tools, and the…
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