Business Intelligence Analyst
Love's Travel Stops
Oklahoma City, OK · Posted September 25, 2026
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Where Oklahoma City, OK ranks
Where Oklahoma City, OK placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #6Best cities for entry-level jobs that want AI skills in the Southwest8% · of 39
- #10Cities with the most jobs that need no experience in the Southwest1.6% · of 43
- #11Best all-round cities for mid-career professionals in the Southwest37 / 100 · of 15
- #11Best all-round cities for remote workers in the Southwest41 / 100 · of 15
- #12Best cities for pay after cost of living in the Southwest$123k · of 15
- #12Best all-round cities for AI careers in the Southwest25 / 100 · of 15
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
How AI is used in this kind of work
Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
*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.
Job Functions:
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 creation of ad-hoc reports
Skills and Physical Demands:
Expert-level proficiency in SQL query writing, including complex joins, aggregations, window functions, CTEs, and query optimization across multiple relational database platforms, including SQL Server and Snowflake
Proficiency in Tableau and Power BI, including dashboard design, calculated fields, and performance optimization
Experience with data wrangling, cleansing, and quality validation
Foundational understanding of relational database concepts, structures, and data manipulation, including familiarity with enterprise data environments
Knowledge of basic statistical methods and retail math concepts (e.g., margin, conversion, comp sales, basket size) and their application to business analysis
Experience identifying and executing reporting automation opportunities to reduce manual effort and improve analytical efficiency
Demonstrated ability to rapidly adopt and apply emerging technologies, including AI-assisted tools and workflows, to enhance analytical productivity and decision-support capabilities
Proficiency in Microsoft Excel, including pivot tables, lookups, and formulas
Excellent written, verbal, and interpersonal communication skills, including experience presenting to executive and non-technical audiences
Meticulous attention to detail, particularly in identifying and resolving data discrepancies
Highly motivated self-starter with a natural intellectual curiosity and openness to change
Requires prolonged sitting, some bending and stooping
Manual dexterity sufficient to operate a computer keyboard and calculator
Requires normal range of hearing and vision
Must be authorized to work in the U.S. without sponsorship
#LI-Onsite
Our Culture:
Fueling customers' journeys since 1964, innovation leads the way for this family-owned and operated business headquartered in Oklahoma City. With nearly 40,000 team members, travel stops are the core business along with products and services that provide value for professional drivers, fleets, traveling public, RVers, alternative energy and wholesale fuel customers. Giving back to communities and an inclusive workplace are hallmarks of the award-winning culture.
Love's is an Equal Opportunity Employer. Veterans encouraged to apply.