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How much do sports analytics r python sql tableau jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for sports analytics r python sql tableau in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Sports Analytics professional with expertise in R, Python, SQL, and Tableau, and why are they important?

To excel in Sports Analytics, you need a strong background in statistics, data analysis, and domain knowledge of sports, typically supported by a relevant degree in statistics, mathematics, or a related field. Proficiency in programming languages like R and Python, expertise in SQL for database management, and advanced skills in Tableau for data visualization are essential technical requirements. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate complex data insights into actionable strategies for coaches and management. These skills ensure that data-driven decisions enhance team performance and provide a competitive edge within the sports industry.

What are Sports Analytics R Python SQL Tableau jobs?

Sports Analytics R Python SQL Tableau jobs involve analyzing sports data using tools like R, Python, SQL, and Tableau. Professionals in these roles collect, process, and interpret data related to player performance, team statistics, and game outcomes to help teams make strategic decisions. They use programming languages such as R and Python for statistical analysis, SQL for database management, and Tableau to visualize insights for coaches, managers, and stakeholders. These roles are commonly found with sports teams, leagues, analytics firms, and sports media companies.

How does a Sports Analytics professional using R, Python, SQL, and Tableau typically collaborate with coaches and team management?

In a sports analytics role, professionals frequently work alongside coaches, scouts, and team management to provide data-driven insights that inform strategy and decision-making. Using tools like R and Python, they analyze player performance and game statistics, while SQL helps them extract relevant data from large databases. Tableau is often used to create clear, interactive dashboards that make complex analytics accessible and actionable for non-technical stakeholders. This collaborative environment requires strong communication skills to translate analytical findings into practical recommendations for the team.

What is the difference between Sports Analytics R Python Sql Tableau vs Data Analyst?

AspectSports Analytics R Python Sql TableauData Analyst
Required SkillsStatistical analysis, data visualization, programming (R, Python), SQL, TableauData cleaning, analysis, visualization, SQL, Excel, reporting
Work EnvironmentSports teams, leagues, sports tech companiesVarious industries including finance, healthcare, marketing
Common CertificationsData analysis, sports analytics certifications, SQL, TableauMicrosoft Excel, SQL, Tableau certifications

Sports Analytics R Python Sql Tableau specialists focus on analyzing sports data to improve team performance and fan engagement, often working within sports organizations. Data Analysts have a broader role across industries, performing data-driven decision-making and reporting. While both roles require similar technical skills, Sports Analytics roles are industry-specific, emphasizing sports metrics and insights.

Infographic showing various Sports Analytics R Python Sql Tableau job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Performance/Data Analyst III - 1920

Performance/Data Analyst III - 1920

Strategic Technology Institute Inc,

Ashton, MD

Full-time

Posted 17 days ago

Job description

Performance/Data Analyst III

Location: Washington, DC Metro Area
Clearance Required: Active Secret Clearance (Top Secret/SCI eligible preferred)
Employment Type: Full-Time
Company: Strategic Technology Institute (STi)

Overview

Strategic Technology Institute (STi) is seeking experienced Performance/Data Analyst III professionals to support the U.S. Department of Justice (DOJ), Justice Management Division (JMD), Office of the Chief Information Officer (OCIO) in support of the Homeland Security Task Force (HSTF).

This position supports high-priority interagency law enforcement and investigative operations through advanced analytics, data integration, statistical reporting, dashboard development, and Management Information System (MIS) support.

Candidates will work with complex investigative and operational datasets from multiple federal agencies including DOJ, FBI, DEA, HSI, ATF, IRS-CI, and USAOs.

Responsibilities
  • Develop and maintain advanced Tableau dashboards and visual analytics products
  • Build and execute SQL, Python, and R queries for data extraction and analysis
  • Perform statistical analysis, trend analysis, and performance measurement reporting
  • Develop predictive models and analytical tools supporting investigative prioritization
  • Conduct data integration and ETL activities across interagency systems
  • Produce reports, graphs, charts, and executive-level briefings
  • Analyze investigative outcomes, asset seizure/forfeiture metrics, and operational performance indicators
  • Support quarterly and ad hoc reporting requirements for DOJ leadership and congressional stakeholders
  • Conduct data quality audits and recommend process improvements
  • Maintain data dictionaries, schemas, and transformation documentation
  • Support automated reporting and workflow optimization initiatives
Required Qualifications
  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Information Systems, or related field
  • 3+ years of applied data analytics/data science experience
  • Strong proficiency with:
    • Python
    • SQL
    • Tableau
    • Microsoft Excel
    • R (preferred)
  • Experience working with large datasets and statistical analysis
  • Experience developing dashboards and data visualizations
  • Ability to communicate analytical findings to technical and non-technical audiences
  • Active Secret Clearance required
  • U.S. Citizenship required
Preferred Qualifications
  • Experience supporting DOJ, DHS, DoD, or other federal law enforcement environments
  • Experience with investigative or intelligence-related datasets
  • Experience with machine learning or predictive analytics
  • Top Secret or TS/SCI eligibility preferred
  • Experience with ETL pipeline development and data governance

Apply