What Jobs are available for Sports Data Companies in the United States?

**Open Rank: Instructor/Senior Instructor Data/Statistical Analysis**
**Description**
**University of Colorado Anschutz**
**Department: Medicine, Division of Health Care Policy and Research, ACCORDS**
**Job Title:**
**Position # - Requisition #38086**
**Job Summary:**
Key Responsibilities
+ Acquire and manage databases that are derived from primary and secondary data sources, including maintaining and monitoring data quality to identify and resolve issues in data systems.
+ Write statistical programs in R, SAS, STATA and/or Python and conduct complex statistical analyses of primary and secondary data sources in support of assigned research projects
+ Designs reports, runs advanced queries, and develop and implement data transformation algorithms in existing database systems to support data interpretation, reporting, and systems conversions; including management of data integrity
+ Participate in collaborative research, including grant and manuscript writing and developing statistical analysis plans for assigned projects
+ Consult with Investigators on the design and implementation of data collection and management for research projects
+ Consult with faculty regarding statistical analysis questions on grant proposals, including assistance with power and sample size calculations, developing statistical analysis plans, and determining the most appropriate statistical methods to use
+ Produces tables and figures for manuscripts, presentations and grant proposals using a variety of statistical databases, spreadsheets, slide presentations and graphics software, consulting with other project staff as needed
+ Pursue original research and apply for intramural and extramural funding to support development of an individual research program, if desired
**Work Location:**
Hybrid
Remote
**Why Join Us:**
**Why work for the University?**
+ Medical: Multiple plan options
+ Dental: Multiple plan options
+ Additional Insurance: Disability, Life, Vision
+ Retirement 401(a) Plan: Employer contributes 10% of your gross pay
+ Paid Time Off: Accruals over the year
+ Vacation Days: 22/year (maximum accrual 352 hours)
+ Sick Days: 15/year (unlimited maximum accrual)
+ Holiday Days: 10/year
+ Tuition Benefit: Employees have access to this benefit on all CU campuses
+ ECO Pass: Reduced rate RTD Bus and light rail service
**Qualifications:**
**Minimum Qualifications:**
**Instructor**
+ Master's degree or equivalent in biostatistics, statistics, or related fields that provides the individual with the required knowledge, skills and abilities
+ Five years experience in research/evaluation, including experience with various research methods, data collection, data management, and analysis using SAS, STATA, R, and/or equivalent statistical analysis packages
+ Two years of research experience applying statistical analysis on funded health services research studies in relevant areas
**Senior Instructor**
+ PhD or currently pursuing a PhD in biostatistics, statistics, data science, or related field
+ Seven years experience in research/evaluation, including experience with various research methods, data collection, data management, and analysis using SAS, STATA, R, and/or equivalent statistical analysis packages
+ Four years of research experience applying statistical analysis on funded health services research studies in relevant areas
**Preferred Qualifications:**
Instructor and Senior Instructor
+ Significant experience in "big data" or "real world data" analysis with primary areas of interest including electronic health records, pragmatic trial design, cluster-randomized trials, adaptive clinical trial designs, advanced techniques to approach causal inference and confounding in observational studies, or structural equation modeling
+ Experience supervising or mentoring statistical analysts
+ Experience in developing analytic sections for grant applications
+ Experience writing statistical methods section of manuscripts, peer-reviewed articles, and/or reports
**Knowledge, Skills and Abilities:**
+ Knowledge of basic and advanced statistical principles and analytic methods relevant in health services research
+ Advanced knowledge of statistical computing and/or Bayesian inference
+ Advanced programming skills in a common statistical software package (e.g., SAS, R, STATA, Python)
+ Excellent problem-solving skills
+ Organizational skills and ability to operate effectively and efficiently according to the needs and demands of concurrent projects and deadlines
+ Excellent written and verbal communication skills including ability to maintain diplomacy with all collaborating partners
+ Positive attitude and the ability to work with and be responsive to colleagues biomedical investigators and colleagues across the Anschutz Medical Campus
+ Ability to contribute to the growth and development of ACCORDS and HCPR
+ Ability to analyze large complex datasets with primary areas of interest including electronic health record data, healthcare claims datasets (e.g., Marketscan, APCD), and national surveys (e.g., NHANES, MEPS)
**How to Apply:**
**Screening of Applications Begins:**
**by November 1, 2025.**
**Anticipated Pay Range:**
**HIRING RANGE:**
**Equal Employment Opportunity Statement:**
**ADA Statement:**
**Background Check Statement:**
**Vaccination Statement:**
**Job Category**
**Primary Location**
**Schedule**
**Posting Date**
**Unposting Date**
**To apply, visit ( 2025 Jobelephant.com Inc. All rights reserved.
Posted by the FREE value-added recruitment advertising agency ( Rank: Instructor/Senior Instructor - Data/Statistical Analysis - 38086 Faculty
The Adult and Child Center for Health Outcomes Research and Delivery Science (ACCORDS) and the Division of Health Care Policy and Research, Department of Medicine at the University of Colorado seek a faculty member with health-related research experience and expertise in statistical analysis, data management, and/or data sciences. Successful candidates will be at the level of Instructor or Senior Instructor. Specific areas of interest include expertise in managing and analyzing large secondary data sets (e.g., healthcare claims databases, national survey data, and/or electronic health records), longitudinal data analysis, causal inference, analysis of cluster-randomized trials, stepped-wedge trials, and pragmatic research trials.This faculty position will have their academic affiliation in the Department of Medicine, Division of Health Care Policy and Research and will be a part of a well-established Data Informatics and Statistics Core in ACCORDS, a research center supporting the advancement of health services research and T3-T4 translational research that is jointly funded by the School of Medicine and Children's Hospital Colorado.:
Position is eligible for either a hybrid or remote work location. - hybrid schedule of 3 days per week on campus and as needed for in-person meetings. - this role is eligible to work remotely, but the employee must be in the United States, and available for needed in-person meetings.
The mission of the Division of Health Care Policy and Research (HCPR) is to design and conduct health services research, policy analyses, and evaluations of innovations, programs, and policies that increase the value of health care services. Our faculty approach this mission from multiple perspectives, including across the lifespan and generations. HCPR faculty members investigate how dissemination and implementation (as well as de-implementation when appropriate) of innovations in health care services, payment models, quality measurement approaches, and delivery system structures influence both individual and population-level outcomes with a focus on value and sustainability throughout our healthcare system. In addition to grant funded projects, HCPR actively pursues contract funding from federal and state government agencies.ACCORDS serves as the focal point for health care professionals, researchers and analysts from across the Anschutz Campus to foster multidisciplinary collaborations that bring together our campus's diverse skills and talents to pursue health services research and education. In addition to DISC, other ACCORDS Cores include Dissemination and Implementation Science, Patient-Centered Decision Making, Pragmatic Research and Trials, Digital Health Technology, Learning Health System, and Qualitative and Mixed Methods.We have AMAZING benefits and offerexceptional amounts of holiday, vacation and sick leave! The University of Colorado offers an excellent benefits package including:There are many additional perks & programs with the CU Advantage ( .
Applicants must meet minimum qualifications at the time of hire.This is an open rank position and could be categorized as Instructor or Senior Instructor based on experience and qualifications as indicated below:Education:Experience:Education:Experience:
For full consideration, please submit the following document(s):1. A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position2. Curriculum vitae / Resume3. Five professional references including name, address, phone number (mobile number if appropriate), and email addressApplications are accepted electronically ONLY at ( .Questions should be directed to: Katie Colborn, ( position is open immediately and will remain open until filled. For best consideration, apply
The starting salary range (or hiring range) for this position has been established as Instructor: $90,000 to $10,000 Senior Instructor: 100,000 to 120,000 The above salary range (or hiring range) represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. This position is not eligible for overtime compensation unless it is non-exempt.Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line.Total Compensation Calculator: ( University of Colorado (CU) is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.
The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at ( .
The University of Colorado Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees.
CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases ( . If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program ( . Application Materials Required: Cover Letter, Resume/CV, List of References : Faculty : Aurora Department: U0001 -- Anschutz Med Campus or Denver - 21099 - SOM-MED-HCP&R Gen Operations : Full-time : Oct 22, 2025 : Ongoing Posting Contact Name: Katie Colborn Posting Contact Email: ( Position Number: jeid-113f d945a5e698f08f746c92
The University of Colorado does not discriminate on the basis of race, color, national origin, sex, age, pregnancy, disability, creed, religion, sexual orientation, gender identity, gender expression, veteran status, political affiliation, or political philosophy. All qualified individuals are encouraged to apply.

**Job Description**
At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
**Boeing Defense, Space & Security** (BDS) has an exciting opportunity for a **Mid-Level** **Quality Systems Specialist (Statistical Analysis & Application)** to join our team located in **San Antonio, TX** **.**
A successful candidate will understand the importance of collaboration as these positions will focus on working directly with the Sr. Talent Acquisition Leader to implement candidate-centric recruitment strategies helping to enable the BDS business to meet their organizational goals.
**Position Responsibilities:**
+ Reviews proposals, contracts, regulatory, program and customer requirements ensuring early quality involvement in program development.
+ Prepares and maintains Quality directives, policies, processes, procedures and metrics to assure program, contract, customer, regulatory requirements, international standards and working agreements are deployed.
+ Analyzes process data, metrics, models and flows to identify root cause of problems.
+ Participates with stakeholders to develop potential preventive or corrective actions and implementation.
+ Conducts research, compiles and analyzes performance reports and process control statistics, to continuously improve process capability.
+ Conducts quality source selection and process reviews of suppliers' ability to meet program quality requirements and support business decisions and develops a coordinated response for management review and approval.
+ Conducts hardware, software and system level audits to determine compliance with quality management system standards, configuration assurance, related business, regulatory and customer requirements and reports results to management.
+ Analyzes data to provide material review dispositions for nonconforming materials, parts and equipment.
+ Works under general direction.
**This position is expected to be 100% onsite. The selected candidate will be required to work onsite at the listed location.**
**This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.**
**Basic Qualifications (Required Skills/Experience):**
+ Bachelor's degree in Computer Science, Mathematical Analytics or similar field
+ 2+ years of experience in a dedicated Quality or Data Analyst role
+ 2+ years of experience with Quality Management System (QMS) audits and Corrective Actions
+ 2+ years of experience in root cause analysis and and Corrective Actions
+ 2+ years of experience using, creating, applying metrics to measure performance and conduct data analysis
+ 2+ years of experience with SQL coding and data analysis
**Preferred Qualifications (Desired Skills/Experience):**
+ 1+ years' experience with creating/navigating Tableau Dashboards
**Travel:**
This position may require up to 10% travel.
**Shift:**
This position is for 1st shift
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Please note that the pay information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Summary pay range: USD $80,750 - $109,250
Applications for this position will be accepted until **Nov. 01, 2025**
**Export Control Requirements:** This position must meet export control compliance requirements. To meet export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee.
**Export Control Details:** US based job, US Person required
**Relocation**
This position offers relocation based on candidate eligibility.
**Security Clearance**
This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Top Secret Clearance Post-Start is required.
**Visa Sponsorship**
Employer will not sponsor applicants for employment visa status.
**Shift**
This position is for 1st shift
**Equal Opportunity Employer:**
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Our client is seeking a data-driven and strategic Sports Analytics Manager to lead their analytics initiatives in **Chicago, Illinois, US**. This role is responsible for leveraging data to enhance athletic performance, game strategy, and fan engagement. You will work closely with coaching staff, performance teams, and front-office personnel to translate complex data into actionable insights.

The ideal candidate will have a strong background in statistical analysis, data visualization, and a deep passion for sports. You will be expected to develop and implement sophisticated analytical models, identify key performance indicators, and present findings in a clear and compelling manner. This position offers a unique opportunity to make a significant impact on athletic success and operational efficiency within a dynamic sports organization.

Key Responsibilities:

• Lead the development and implementation of data analytics strategies for athletic performance and business operations.
• Analyze game data, player statistics, and performance metrics to identify trends and provide strategic recommendations.
• Develop and maintain dashboards and reports to visualize key insights for coaches, athletes, and management.
• Collaborate with performance coaches to create player development plans based on data analysis.
• Identify innovative uses of technology and data to gain a competitive advantage.
• Manage and mentor a team of sports analysts.
• Stay current with the latest advancements in sports analytics tools and methodologies.
• Communicate complex analytical findings to stakeholders with varying levels of technical expertise.
• Contribute to scouting and recruitment processes through data-driven insights.
• Ensure data integrity and accuracy across all analytical projects.
• Evaluate the effectiveness of implemented strategies and adjust as necessary.

Qualifications:

• Master's degree in Statistics, Data Science, Sports Management, or a related quantitative field.
• Minimum of 5 years of experience in sports analytics, with at least 2 years in a leadership or management role.
• Proficiency in statistical analysis software (e.g., R, Python, SPSS) and database management.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of various sports and their performance metrics.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Exceptional communication, presentation, and interpersonal skills.
• Ability to work effectively in a fast-paced, team-oriented environment.
• Experience with machine learning techniques is a plus.

This hybrid role offers a competitive salary, comprehensive benefits, and the chance to revolutionize how data is used in professional sports.

Our client is looking for a passionate and data-driven Sports Analytics Manager to lead their advanced analytics initiatives in Oklahoma City, Oklahoma, US . This role is pivotal in leveraging data to enhance athletic performance, strategic decision-making, and fan engagement. You will be responsible for developing and implementing sophisticated analytical models, overseeing data collection and processing, and translating complex findings into actionable insights for coaching staff, management, and players. Your duties will include designing experiments to test hypotheses related to player performance, game strategies, and injury prevention; managing and mentoring a team of sports analysts; developing and maintaining data pipelines and databases; collaborating with various departments to identify key performance indicators and reporting needs; presenting findings and recommendations clearly and effectively to diverse stakeholders; staying current with emerging analytical techniques and technologies in sports science and data science; and ensuring data integrity and security. The successful candidate will hold a Master's degree in Statistics, Data Science, Sports Management, or a related quantitative field, with a strong focus on analytics. A minimum of 4 years of experience in sports analytics, with demonstrated leadership capabilities, is required. Expertise in statistical modeling, machine learning, and data visualization tools (e.g., R, Python, SQL, Tableau) is essential. A deep understanding of various sports, their rules, and common analytical challenges is crucial. Excellent communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences, are vital. A proven track record of using data to drive measurable improvements in a sports context is highly desirable. This is a unique opportunity to shape the future of sports performance through data.

Our client, a prominent professional sports organization, is seeking an innovative Sports Analytics Manager to lead their data-driven insights team. This hybrid role offers a dynamic blend of on-site strategic collaboration and remote data analysis, based out of Chicago, Illinois, US .

As the Sports Analytics Manager, you will be responsible for transforming vast amounts of sports data into actionable insights that enhance player performance, optimize team strategy, and improve fan engagement. You will lead a team of analysts, guiding them in developing and implementing advanced analytical models and tools. Your ability to translate complex data into clear, compelling narratives will be essential for influencing key decisions within the organization.

Key responsibilities include:

• Developing and implementing analytical strategies to support player development, performance evaluation, and game strategy.
• Overseeing the collection, cleaning, and analysis of diverse sports data sources (e.g., player tracking, game statistics, biometric data).
• Building and maintaining predictive models to forecast player performance and identify talent.
• Creating comprehensive reports and visualizations to communicate findings to coaching staff, management, and other stakeholders.
• Leading and mentoring a team of sports analysts, fostering a culture of data excellence and innovation.
• Collaborating with coaching staff to integrate analytical insights into training and game-day decision-making.
• Staying current with the latest advancements in sports analytics, machine learning, and data visualization techniques.
• Evaluating and recommending new technologies and tools to enhance analytical capabilities.
• Ensuring data integrity and the ethical use of player and performance data.
• Presenting findings and recommendations to executive leadership.

The ideal candidate will hold a Master's degree in Statistics, Data Science, Sports Management, Computer Science, or a related quantitative field. A minimum of 6 years of experience in sports analytics, with at least 2 years in a leadership or management role, is required. Deep understanding of sports performance metrics, statistical modeling, and data mining techniques is essential. Proficiency in programming languages like Python or R, and experience with data visualization tools (e.g., Tableau, Power BI) are crucial. Strong knowledge of machine learning algorithms and their application in sports is highly desirable. Excellent communication, presentation, and interpersonal skills are vital for effectively conveying complex data insights. This is a remarkable opportunity to shape the strategic direction of a leading sports franchise through the power of data.

Our client, a prominent organization within the professional sports industry, is seeking an innovative and data-driven Sports Analytics Manager to join their team in Durham. This hybrid role requires a blend of on-site collaboration with coaches, performance staff, and front office personnel, alongside the flexibility of remote work for focused analysis and reporting. The successful candidate will be responsible for leveraging advanced statistical techniques and data visualization tools to extract actionable insights from complex datasets related to player performance, team strategy, and game outcomes. You will play a crucial role in developing analytical models to support decision-making in areas such as player scouting and recruitment, in-game strategy optimization, injury prevention, and fan engagement. The ideal candidate possesses a strong background in sports analytics, a deep understanding of various sports, and exceptional skills in data manipulation, statistical modeling, and programming (e.g., Python, R). You will be instrumental in translating raw data into compelling narratives and strategic recommendations that enhance team performance and drive competitive advantage. Collaboration, clear communication, and the ability to present complex findings to non-technical audiences are paramount. If you are passionate about sports, possess a sharp analytical mind, and are eager to make a tangible impact on the success of a professional sports team, we encourage you to apply.

Responsibilities:

• Develop and implement analytical models to evaluate player and team performance.
• Analyze game data to identify trends, strengths, and weaknesses.
• Provide data-driven insights to support coaching and strategic decision-making.
• Develop predictive models for player recruitment and talent identification.
• Monitor and analyze key performance indicators (KPIs) for various sports metrics.
• Collaborate with coaching staff and performance analysts to implement findings.
• Prepare and present comprehensive analytical reports and visualizations.
• Stay abreast of the latest advancements in sports analytics methodologies and technologies.
• Contribute to a data-informed culture within the organization.

Qualifications:

• Master's degree in Statistics, Data Science, Sports Management, or a related quantitative field.
• Minimum of 5 years of experience in sports analytics or a related data analysis role.
• Proficiency in statistical programming languages such as Python or R.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of statistical modeling and machine learning techniques.
• Deep knowledge of professional sports rules, strategies, and performance metrics.
• Excellent communication and presentation skills.
• Ability to work effectively in a hybrid team environment.

Our client, a prominent organization within the sports industry, is actively seeking a talented and data-driven Sports Analytics Manager to lead their analytical initiatives in Indianapolis, Indiana, US . This role is crucial for optimizing team performance, player development, and strategic decision-making across various athletic programs. The ideal candidate will possess a strong blend of statistical expertise, a deep understanding of sports, and exceptional leadership capabilities.

Responsibilities:

• Develop and implement advanced statistical models and analytical frameworks to assess player performance, team dynamics, and game strategies.
• Oversee the collection, cleaning, and interpretation of vast datasets from training, matches, and scouting activities.
• Translate complex data insights into actionable recommendations for coaches, scouts, and front-office executives.
• Manage a team of sports analysts, providing mentorship and ensuring the delivery of high-quality insights.
• Collaborate with technology partners to integrate new data sources and analytical tools.
• Design and execute performance metrics that align with organizational goals.
• Present findings and strategic implications through compelling reports and presentations.
• Stay current with the latest trends and innovations in sports analytics and data science.
• Contribute to the development of predictive models for player recruitment and talent identification.

Qualifications:

• Master's degree or higher in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience in sports analytics or a similar quantitative analytical role within the sports industry.
• Demonstrated experience in managing analytical projects and teams.
• Proficiency in statistical programming languages such as R, Python, or similar.
• Experience with data visualization tools (e.g., Tableau, Power BI) and database management (SQL).
• Deep understanding of various sports, their rules, strategies, and performance indicators.
• Strong communication and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical audiences.
• Experience with machine learning techniques is a plus.
• Passion for sports and a commitment to driving performance through data-driven insights.

This hybrid role offers the flexibility to work both remotely and from our client's state-of-the-art facilities in Indianapolis, Indiana, US , fostering a collaborative and innovative environment. Join us and make a significant impact on the future of sports performance.

Our client is seeking an experienced Sports Analytics Manager to lead our analytics initiatives within the sports domain. This role is based in **Indianapolis, Indiana, US**, and offers a hybrid work arrangement, balancing in-office collaboration with remote flexibility.

As the Sports Analytics Manager, you will be responsible for leveraging data to provide strategic insights that enhance team performance, fan engagement, and operational efficiency. You will oversee the collection, analysis, and interpretation of sports-related data, translating complex findings into actionable recommendations for coaches, management, and marketing teams. This is a fantastic opportunity to combine your passion for sports with your analytical expertise.

Responsibilities:

• Develop and implement data-driven strategies to improve athletic performance and player development.
• Analyze game statistics, player performance metrics, and scouting data to identify trends and opportunities.
• Build predictive models for player evaluation, injury risk, and game outcomes.
• Collaborate with coaching staff to provide real-time insights and post-game analysis.
• Manage a team of sports analysts, providing guidance and mentorship.
• Oversee the development and maintenance of data dashboards and reporting tools.
• Identify and integrate new data sources and analytical technologies.
• Communicate complex analytical findings clearly and concisely to non-technical stakeholders.
• Contribute to strategic decision-making related to player acquisitions, training programs, and fan engagement.
• Ensure data integrity and ethical use of performance data.

Qualifications:

• Bachelor's degree in Statistics, Data Science, Sports Management, or a related field; Master's degree preferred.
• Minimum of 5 years of experience in sports analytics or a related analytical role.
• Proven experience with statistical analysis, data modeling, and visualization techniques.
• Proficiency in data analysis tools such as Python, R, SQL, or similar.
• Strong understanding of various sports, their rules, and key performance indicators.
• Experience managing and leading a team.
• Excellent communication, presentation, and interpersonal skills.
• Ability to work effectively in a fast-paced, dynamic environment.
• Familiarity with sports performance tracking technologies is a plus.

This hybrid role offers a competitive salary, benefits package, and the chance to make a significant impact on the future of sports performance. Join our passionate team and help us unlock the full potential of data in sports.

Our client, a dynamic and forward-thinking professional sports organization located in Richmond, Virginia, US , is seeking a talented Sports Analytics Manager. This hybrid role offers the perfect balance of strategic remote work and collaborative in-office engagement. You will be at the forefront of leveraging data to enhance team performance, fan engagement, and operational efficiency. This position demands a blend of statistical expertise, sports knowledge, and the ability to translate complex data into actionable insights for coaches, management, and marketing teams. You will be instrumental in shaping data-driven strategies across various aspects of the organization.

Key Responsibilities:

• Develop and implement advanced analytical models to assess player performance, game strategies, and scouting data.
• Collaborate with coaching staff to provide data-driven insights that inform tactical decisions and player development.
• Analyze fan engagement data to identify trends and optimize marketing and outreach strategies.
• Manage and maintain databases of sports-specific information, ensuring data integrity and accessibility.
• Utilize statistical software and programming languages (e.g., R, Python, SQL) for data analysis and model building.
• Create compelling visualizations and reports to communicate complex findings to stakeholders with varying levels of technical expertise.
• Identify new opportunities for leveraging data analytics to gain a competitive advantage.
• Stay current with the latest trends and technologies in sports analytics and data science.
• Oversee the work of junior analysts and provide mentorship.
• Work closely with IT and other departments to ensure seamless data integration and infrastructure support.

Required Qualifications:

• Bachelor's or Master's degree in Statistics, Data Science, Sports Management, Mathematics, or a related quantitative field.
• 3-5 years of experience in sports analytics, data science, or a similar analytical role within the sports industry.
• Proficiency in statistical modeling, data mining, and machine learning techniques.
• Strong programming skills in R, Python, or SQL.
• Experience with data visualization tools such as Tableau or Power BI.
• Deep understanding of sports rules, strategies, and performance metrics relevant to the specific sport.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex data concepts clearly.
• Ability to work effectively in a hybrid environment and collaborate with diverse teams.
• Passion for sports and a desire to make a tangible impact on team success.

This is a unique opportunity to blend your passion for sports with your analytical prowess. Our client offers a competitive salary, comprehensive benefits, and a stimulating work environment. If you are a data-driven innovator eager to impact the world of sports, we encourage you to apply.