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Manager Of Analytics Jobs in Oklahoma (NOW HIRING)

OU Health

Manager of Payroll

Oklahoma City, OK · On-site

Manager of Payroll Department: Financial Services General Description Oversees payroll processes ... Assists finance staff with ad hoc payroll related financial analysis requests. * Responds to audit ...

OU Health

Manager of Payroll

Oklahoma City, OK · On-site

Manager of Payroll Department: Financial Services General Description Oversees payroll processes ... Assists finance staff with ad hoc payroll related financial analysis requests. * Responds to audit ...

Williams

Manager of Land - Upstream

Tulsa, OK · On-site

$110 - $170/hr

## Manager of Land - UpstreamApplylocations: OK Tulsa - Headquarters: Relocation Eligibletime type ... analysis, and broker activities* Builds and maintains strong relationships with landowners ...

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All JobsOf Analytics JobsManager Of Analytics JobsManager Of Analytics Jobs in Oklahoma

Manager Of Analytics information

See Oklahoma salary details

$59.6K

$115.7K

$165.3K

How much do manager of analytics jobs pay per year?

As of Aug 30, 2026, the average yearly pay for manager of analytics in Oklahoma is $115,718.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,300.00 and $137,600.00 per year, depending on experience, location, and employer.

What does a manager of analytics do?

A Manager of Analytics leads teams responsible for collecting, analyzing, and interpreting data to support business decisions. They oversee the development of data-driven strategies, ensure data accuracy, and communicate insights to stakeholders. This role often involves managing analytics projects, mentoring team members, and collaborating with other departments to align analytics initiatives with organizational goals.

What are the key skills and qualifications needed to thrive as a manager of analytics?

To thrive as a Manager of Analytics, you need strong analytical skills, expertise in data interpretation, and a background in statistics or a related field, often supported by a bachelor's or master's degree. Familiarity with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms, as well as relevant certifications, is typically required. Excellent leadership, communication, and problem-solving skills help drive team performance and translate data insights into actionable business strategies. These skills are crucial for effectively leading analytics teams, making data-driven decisions, and delivering value to the organization.

How does a manager of analytics typically collaborate with other departments within an organization?

A Manager of Analytics regularly partners with teams such as marketing, finance, operations, and product development to identify data needs, provide actionable insights, and support strategic decision-making. They often facilitate cross-functional meetings to understand business goals, translate analytical findings into business terms, and ensure data-driven solutions are effectively implemented. This role requires strong communication and relationship-building skills, as successful collaboration is key to driving organizational impact and ensuring analytics initiatives align with broader company objectives.

What is the difference between Manager Of Analytics vs Data Analyst?

AspectManager Of AnalyticsData Analyst
Required CredentialsBachelor's or Master's in Analytics, Data Science, or related field; often leadership experienceBachelor's in Statistics, Data Science, or related field; entry to mid-level experience
Work EnvironmentOversees analytics teams, strategic planning, collaborates with managementPerforms data analysis, reports, and visualization tasks under supervision
Employer & Industry UsageUsed in corporate, tech, finance sectors for leadership rolesCommon across industries for data-driven decision making

The main difference between a Manager Of Analytics and a Data Analyst lies in their responsibilities and seniority. Managers oversee analytics teams, develop strategies, and work closely with leadership, while Data Analysts focus on analyzing data, creating reports, and supporting decision-making at a more operational level.

How much do Manager Of Analytics make in the US?

The average salary for a Manager of Analytics in the US is approximately $100,000 to $130,000 per year, depending on experience, industry, and location. Senior managers or those with specialized skills in data tools like SQL, Python, or Tableau may earn higher compensation. Benefits often include bonuses, health insurance, and professional development opportunities.

Is data analytics a high paying job?

Data analytics roles, including Manager of Analytics positions, tend to offer competitive salaries that are above average for many industries. Factors such as experience, industry, location, and technical skills like proficiency in SQL, Python, or data visualization tools influence compensation levels.

What are the most commonly searched types of Of Analytics jobs in Oklahoma?

The most popular types of Of Analytics jobs in Oklahoma are:

Manager Of Analytics jobs near you
Infographic showing various Manager Of Analytics job openings in Oklahoma as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $115,718 per year, or $55.6 per hour.

Sr. Manager of Analytics and Data Science

Oklahoma City, OK • On-site

Love's Travel Stops and Country Stores
Gasoline Stations • 10K+ employees

5.8

Company rating: 5.8 out of 10

Based on 800 frontline employees who took The Breakroom Quiz

404th of 739 rated retailers

People enjoy working here

Recommended by parents

Respectful managers

Learn more about Love's Travel Stops and Country Storesexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

Job description

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 Senior Manager of Analytics & Data Science leads teams of analytics and data science professionals responsible for delivering enterprise-wide insights, advanced analytics, and scalable solutions that drive strategic decision-making across the organization. This leader partners closely with business and technology stakeholders to identify opportunities, solve complex business challenges, and deliver measurable business impact through data. 

Job Functions: 

Drive Strategic Decision-Making Through Analytics 

  • Partner with leaders across the organization to identify opportunities where analytics can improve business performance and support strategic objectives
  • Translate complex business questions into actionable analytical approaches and measurable outcomes
  • Deliver insights and recommendations that influence decision-making at all levels of the organization
  • Promote the use of data and analytics as strategic assets across the enterprise 

Advanced Analytics & Solution Delivery 

  • Oversees the entire lifecycle of analytics projects, including requirement gathering, development, validation, deployment, and monitoring of advanced analytics, machine learning, and AI-enabled solutions
  • Ensures analytical solutions are scalable, actionable, and aligned to business objectives while delivering measurable business value
  • Establishes best practices that drive consistency, quality, and adoption across analytics initiatives
  • Guides teams in balancing technical rigor with practical business application to maximize organizational impact 

Team Leadership & Development 

  • Build and scale a high-performing data science & analytics organization, defining roles, career paths, and operating norms that attract and retain top analytical talent.
  • Lead a team of data scientists, seen as trusted advisors, known for proactive insights and creating thought leadership.
  • Foster a culture of curiosity, accountability, analytical rigor, experimentation, and continuous improvement.
  • Collaborate cross-functionally with Customer Experience, FP&A, and Data Engineering to deliver comprehensive solutions.
  • Provide coaching, performance management, and career development opportunities that support employee growth and engagement
  • Establish clear priorities and create an environment that enables teams to perform at their highest level 

Strategic Analytics Roadmap 

  • Define and evolve the enterprise analytics roadmap in alignment with organizational priorities
  • Evaluate and prioritize initiatives to maximize business impact and resource effectiveness
  • Balance short-term business needs with long-term capability development
  • Identify opportunities to expand analytics capabilities and increase organizational value 

Strengthen Enterprise Partnerships 

  • Develop trusted relationships with stakeholders across operations, finance, marketing, merchandising, customer experience, technology, and other business functions
  • Align analytics investments with enterprise priorities and strategic goals
  • Facilitate collaboration between analytics, technology, and business teams to maximize impact
  • Effectively communicate complex analytical concepts to technical and non-technical audiences, including senior leadership 

Data Governance & Quality 

  • Partner with technology and data teams to improve data quality, governance, accessibility, and trustworthiness
  • Advocate for data standards and best practices that support enterprise analytics
  • Ensure analytical solutions are built on reliable, well-governed data foundations
  • Promote confidence and trust in analytical outputs across the organization 

Innovation & Continuous Improvement 

  • Champion the adoption of emerging analytics, automation, and AI-enabled capabilities that improve business outcomes, accelerate insight generation, and enhance team effectiveness
  • Encourage experimentation and continuous improvement in analytical approaches and methodologies
  • Partner with technology teams to evaluate and apply emerging capabilities that enhance analytics effectiveness
  • Maintain awareness of industry trends and identify opportunities to create value through innovation 

Experience and Qualifications:

  • Bachelor's degree required in a quantitative or technical field (e.g., data science, statistics, mathematics, computer science, economics, engineering, or operations research); Master's or PhD strongly preferred
  • 8+ years of progressive experience in data science, advanced analytics, or quantitative modeling, including hands-on delivery of machine learning and statistical models in a production environment
  • 3+ years of direct people-leadership experience managing and developing teams of data scientists and analysts
  • Demonstrated track record of translating ambiguous business problems into analytical solutions that drive measurable, enterprise-level impact
  • Experience partnering with executive and cross-functional stakeholders to set strategy and influence decisions without direct authority
  • Retail, fuel, hospitality, or large-scale consumer/operations experience preferred

Skills and Physical Demands: 

  • Deep proficiency in machine learning, statistical modeling, experimentation/A/B testing, forecasting, and optimization techniques
  • Strong programming and data fluency with Python and/or R, advanced SQL, and modern data platforms (e.g., Snowflake, Databricks, or comparable cloud data warehouses)
  • Working knowledge of cloud environments (AWS, Azure, or GCP) and MLOps practices for deploying, monitoring, and maintaining models at scale
  • Proficiency with BI and visualization tools (e.g., Tableau, Power BI, Sigma) to communicate insight clearly to business audiences
  • Familiarity with generative AI and large language model applications and their responsible, value-driven use in the enterprise
  • Proven ability to build, scale, mentor, and retain high-performing technical teams
  • Strong business acumen with the ability to connect analytical work to financial and operational outcomes
  • Excellent written and verbal communication skills, including the ability to make complex concepts clear and compelling to senior, non-technical leadership.
  • Skilled at prioritization, roadmap planning, and resource management across competing demands
  • Self-directed leader who thrives in a fast-moving, collaborative, and evolving environment

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.

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