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Business Analyst Sql R Python Jobs in Oklahoma (NOW HIRING)

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Business Analyst Sql R Python information

What are Business Analyst SQL R Python roles?

Business Analyst SQL R Python roles refer to positions where professionals analyze business data and processes using tools such as SQL for database querying, and R or Python for statistical analysis and data visualization. These analysts help organizations make data-driven decisions by extracting, interpreting, and presenting insights from large datasets. They often work closely with stakeholders to understand business requirements and translate them into technical solutions. Proficiency in SQL, R, and Python allows them to efficiently manipulate data, build predictive models, and automate reporting tasks.

What are the key skills and qualifications needed to thrive as a Business Analyst with SQL, R, and Python expertise, and why are they important?

To thrive as a Business Analyst with SQL, R, and Python expertise, you need strong analytical skills, business acumen, and a background in data analysis or a related field. Proficiency with SQL for database querying, R and Python for data manipulation and statistical analysis, and familiarity with business intelligence tools are typically required. Excellent communication, problem-solving abilities, and stakeholder management skills help you translate complex data insights into actionable business strategies. These skills ensure you can extract, interpret, and present data-driven recommendations that support informed decision-making and drive business value.

How do Business Analysts utilizing SQL, R, and Python typically collaborate with data engineering and product teams?

Business Analysts with SQL, R, and Python skills frequently work alongside data engineering teams to define data requirements, validate data pipelines, and ensure data quality for analysis. They also collaborate with product teams to translate business needs into actionable insights and develop data-driven recommendations. Regular communication is essential, as analysts often bridge the gap between technical and non-technical stakeholders, facilitating workshops or meetings to clarify requirements and present findings. This collaborative environment helps ensure that analytical solutions are both technically sound and aligned with business goals.
What are popular job titles related to Business Analyst Sql R Python jobs in Oklahoma? For Business Analyst Sql R Python jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Business Analyst Sql R Python jobs in Oklahoma look for? The top searched job categories for Business Analyst Sql R Python jobs in Oklahoma are:
What cities in Oklahoma are hiring for Business Analyst Sql R Python jobs? Cities in Oklahoma with the most Business Analyst Sql R Python job openings:
Data Scientist

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 hours ago


Love's Travel Stops rating

5.9

Company rating: 5.9 out of 10

Based on 773 frontline employees who took The Breakroom Quiz

392nd of 715 rated retailers


Job description

This is an onsite role located in OKC. 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 Data Scientist plays a critical role in advancing Love’s customer analytics capabilities by driving deep understanding of customer behavior, loyalty, and lifecycle dynamics. As part of Analytics team, this role develops advanced machine learning and analytical solutions that shape customer strategy and influence key business decisions across the organization.

Job Functions:

  • Drive Strategic Decision-Making through Customer Insights
    • Analyze customer behavior across channels to identify trends, patterns, and opportunities for growth
    • Develop and maintain customer segmentation and personas to support targeted strategies
    • Work closely with CX Research team to synthesize both qualitative and quantitative data
    • Provide insights into customer lifecycle dynamics, including acquisition, engagement, and retention
  • Develop Advanced Analytics Solutions
    • Design and deploy predictive models (forecasting, segmentation, optimization)
    • Utilize statistical languages (R, Python, SAS) to manipulate data and draw insights from large data sets
    • Apply statistical and machine learning techniques to solve complex business problems and improve targeting
    • Enable AI-driven workflows and scalable decision-support tools
    • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Enable Loyalty Marketing & Growth Strategies
    • Evaluate the performance and effectiveness of loyalty programs and promotional initiatives
    • Measure customer engagement, program adoption, and incremental impact on spend and visits
    • Generate recommendations to enhance program design and customer experience
  • Improve Efficiency Through Automation
    • Streamline and automate reporting and analytical workflows
    • Work with data engineering to build scalable data products that reduce manual effort and improve speed to insight
    • Support the creation and maintenance of a customer data platform to enable a unified customer view
    • Identify opportunities to apply AI across both new and existing work
  • Communicate Insights Clearly
    • Develop a deep understanding of Love’s business, including products, customers, and performance drivers
    • Create compelling visualizations and presentations for cross-functional stakeholders
    • Deliver insights and recommendations in a clear, concise manner using meaningful visualizations that allows for business understanding and action

Experience and Qualifications:

  • BA/BS minimum, Masters preferred, in a relevant field, such as business analytics, mathematics, statistics, finance, economics, management information systems, computer science, engineering or other quantitative fields
  • 3+ years experience preferred in analytics, data science or related field
  • Experience with data analysis, statistical modeling, or machine learning

Skills and Physical Demands: 

  • Proficiency querying data from relational databases using SQL
  • Competency using R, Python, or other similar statistical software to develop analytical solutions
  • Experience with data wrangling, data cleaning and prep
  • Awareness of Big Data concepts, tools, and architecture
  • Data modelling and business analytics experience
  • Excel proficiency including simple formulas and pivot tables
  • Understanding of data warehouse principles and database structures
  • Ability to develop clear, impactful visualizations using Power BI, Tableau, or similar tools
  • Experience applying AI tools to improve efficiency, automation, and analytical output
  • Natural curiosity that welcomes and embraces change and willingness to try new things
  • Excellent written, oral and interpersonal skills
  • Ability to devise an analytical approach to solving business problems
  • Expertise in translating data into business insights and recommendations
  • Demonstrated ability to explain and simplify complex analytics for a wide range of audiences
  • Work effectively within a team-oriented and collaborative environment
  • Keen attention to detail
  • Highly motivated self-starter
  • Requires prolonged sitting, some bending and stooping
  • Occasional lifting up to 25 pounds
  • Manual dexterity sufficient to operate a computer keyboard and calculator
  • Requires normal range of hearing and vision
  • Travel required as needed
  • On-call availability

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.


What Love's Travel Stops employees say

Pay

Benefits

Hours and flexibility

Workplace

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