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Stats Perform Jobs in Oklahoma (NOW HIRING)

$15.50 - $19.50/hr

Generate new analysis of match performance data to unlock potential commercial value driven from our partnerships with Stats Perform and Spiideo. * Support ad-hoc requests for data; build reports ...

$14.25 - $17.75/hr

Generate new analysis of match performance data to unlock potential commercial value driven from our partnerships with Stats Perform and Spiideo. * Support ad-hoc requests for data; build reports ...

$13.75 - $17.25/hr

Generate new analysis of match performance data to unlock potential commercial value driven from our partnerships with Stats Perform and Spiideo. * Support ad-hoc requests for data; build reports ...

$14.50 - $18/hr

Generate new analysis of match performance data to unlock potential commercial value driven from our partnerships with Stats Perform and Spiideo. * Support ad-hoc requests for data; build reports ...

$13.75 - $17.25/hr

Generate new analysis of match performance data to unlock potential commercial value driven from our partnerships with Stats Perform and Spiideo. * Support ad-hoc requests for data; build reports ...

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Showing results 1-20

Stats Perform information

See Oklahoma salary details

$22.2K

$91.4K

$154.2K

How much do stats perform jobs pay per year?

As of Sep 7, 2026, the average yearly pay for stats perform in Oklahoma is $91,418.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,300.00 and $98,800.00 per year, depending on experience, location, and employer.

What is Stats Perform?

Stats Perform is a global sports technology company that specializes in sports data and artificial intelligence (AI). They provide data, analytics, and insights to sports teams, media, and betting companies to enhance performance, fan engagement, and decision-making. Their services include live sports data, predictive analytics, and AI-driven content solutions across various sports. Stats Perform works with leagues, broadcasters, and digital platforms to deliver real-time data and innovative sports experiences.

How does a role at Stats Perform typically collaborate with data scientists and product teams to deliver sports analytics solutions?

At Stats Perform, professionals frequently work in cross-functional teams alongside data scientists, engineers, and product managers to develop and refine sports analytics products. Collaboration often involves regular meetings to discuss project requirements, share insights from data, and iterate on models or features based on feedback. Team members must communicate complex statistical findings in an accessible way to inform product development and ensure solutions meet the needs of clients, such as broadcasters, teams, or betting operators. This collaborative environment encourages ongoing learning and the chance to contribute to innovative, high-impact analytics projects.

What are the key skills and qualifications needed to thrive as a sports data analyst at Stats Perform, and why are they important?

To thrive as a Sports Data Analyst at Stats Perform, you need strong analytical skills, statistical knowledge, and experience with data analysis, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with technical tools such as Python, R, SQL, and sports analytics platforms is essential, along with experience in data visualization software. Exceptional attention to detail, communication, and problem-solving abilities help analysts interpret data and share actionable insights with stakeholders. These skills ensure the accurate delivery of data-driven insights that inform strategy and enhance sports performance analysis.

What is the difference between Stats Perform vs Data Analyst?

AspectStats PerformData Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; experience with sports data and analyticsDegree in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentSports analytics companies, media, and broadcasting firmsVarious industries including finance, marketing, healthcare, and sports
Employer & Industry UsageSpecialized in sports data and performance analyticsBroadly used across multiple sectors for data-driven decision making
Common Search & ComparisonOften compared for sports analytics rolesCompared for general data analysis roles

Stats Perform specializes in sports data and analytics, focusing on performance insights for sports organizations and media. Data Analysts have a broader scope, working across various industries to interpret data and support decision-making. While both roles require similar technical skills and educational backgrounds, Stats Perform roles are industry-specific, whereas Data Analysts work in diverse sectors.

What are popular job titles related to Stats Perform jobs in Oklahoma?

For Stats Perform jobs in Oklahoma, the most frequently searched job titles are:

What cities in Oklahoma are hiring for Stats Perform jobs?

Cities in Oklahoma with the most Stats Perform job openings:

Infographic showing various Stats Perform job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 3% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $91,418 per year, or $44 per hour.

$74K/yr

Full-time

Posted 12 days ago


U.S. Department Of The Interior rating

7.8

Company rating: 7.8 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

418th of 856 rated public administrative organizations


Job description

This position is part of the DOI, ONRR, Deputy Director, Research & Analytics, Analytics & Compliance Planning. You must be able to report to one of the advertised duty stations. The position(s) may be filled in the following locations:
Dallas, TX - $81,186 - $150,426
Lakewood, CO -$83,265 - $154,280
Houston, TX - $86,123 - $159,575
Oklahoma City, OK - $74,678 - $138,370
Tulsa, OK - $74,678 - $138,370
The incumbent will be responsible for serving as a Statistician (Data Scientist).

Qualifications:All applicants for this position must possess one of the following basic requirements:
A. Degree: that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
B. Combination of education and experience -- courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
(NOTE: YOU MUST PROVIDE LEGIBLE TRANSCRIPTS SHOWING COMPLETED COURSEWORK AND DEGREE(S) AWARDED AS VERIFICATION OF YOUR EDUCATION).
In addition to meeting the basic eligibility requirements, applicants must have the following specialized experience.
At the GS-11 level, you must meet one of the following qualifications:
A. Three (3) years of progressively higher level graduate education (54 semester hours, 81 quarter hours or the equivalent) leading to a to a Ph.D. degree or Ph.D. or equivalent doctoral degree in statistics, or other directly related field of study if it provided the knowledge, skills and abilities necessary to do the work of this position. OR
B. One year of specialized experience equivalent to the GS-09 level. Specialized experience is that which has equipped the applicant with the competencies to successfully perform the duties of the position, and that is typically in or related to the position to be filled. Specialized experience for this position includes: 1) Assist in researching and applying basic statistical and/or mathematical techniques under the guidance of others; 2) assist in preparing or supporting the development of statistical and/or mathematical risk models and analytical methods as well as refining models; 3) participate in meetings with team members or management to discuss and document methods and results related to statistics, risk, or analytical models; 4) prepare draft reports, summaries, or visualizations that communicate the results of statistical or analytical work to others. OR
C. A Combination of education and experience as listed above.
At the GS-12 level, you must meet the following qualification:
One year of specialized experience equivalent to at least the GS-11 level. Specialized experience is that which has equipped the applicant with the competencies to successfully perform the duties of the position, and that is typically in or related to the position to be filled. Specialized experience for this position includes: 1) research and apply statistical and/or mathematical techniques and accurately interpret results; 2) provide support in developing statistical and/or mathematical risk models and analytical and algorithmic methods that test hypotheses and refine models; 3) meet with management or employees to interpret, explain and document methods, and results as they relate to statistics, risk and analytical models; 4) deliver training or provide guidance to peers and other employees for techniques and best practices in interpreting results from a statistical and/or mathematical risk model.
At the GS-13 level, you must meet the following qualification:
One year of specialized experience equivalent to at least the GS-12 level. Specialized experience is that which has equipped the applicant with the competencies to successfully perform the duties of the position, and that is typically in or related to the position to be filled. Specialized experience for this position includes: 1) develop or revise an agency or organization's statistical or mathematical models and complex algorithms related to financial, economic, or actuarial risk; 2) develop procedures for statistical model data integration, query authoring, manipulation, and output related to financial, economic, or actuarial risk; 3) develop, review, and enhance an agency or organization's financial, economic, or actuarial risk models and analytical methods to test hypotheses and refine models; 4) lead and conduct meetings with stakeholders or technical representatives to interpret, explain and document methods, results, and interpretations as they relate to statistics, risk and analytical models; 5) develop and deliver training or provide guidance to peers and other audiences on conducting and interpreting results from statistical or mathematical models and complex algorithms related to financial, economic, or actuarial risk.
Only experience and education obtained by the closing date of this announcement will be considered.
TIME-IN-GRADE: Current career or career-conditional employees of the Federal government, or former career or career-conditional employees, who have a break in service of less than one year, are required to meet the time-in-grade restriction of one year of Federal experience at the next lower grade, with few exceptions outlined in 5 CFR 300.603(b).
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). You will receive credit for all qualifying experience, including volunteer experience.Education:You MUST provide transcripts or other documentation to support your educational claims. Unless otherwise stated: (1) official or unofficial transcripts are acceptable, or (2) you may submit a list with all of your courses, grades, semester, year, and credit for the course. All materials must be submitted by the closing date of the announcement. Note: PDF Portfolio documents will not be processed or accepted as they appear as a one-page document.
Only education from institutions which are accredited or preaccredited/candidate for accreditation may be used to meet education requirements.
FOREIGN EDUCATION: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university. For further information, visit: https://sites.ed.gov/international/recognition-of-foreign-qualifications/Employment Type: OTHER

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