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Sports Analytics R Python Sql Tableau Jobs (NOW HIRING)

IntraEdge

Engineer - Python & SQL

Ashland, OH

$43.50 - $60/hr

Collaborate with data analysts/BI teams to ensure smooth integration between data and Tableau ... SQL DBA , Tableau and Python developer 3-5 years of exp About the Role We are looking for a skilled ...

Lorven Technologies

Tableau Developer

Irving, TX · On-site

Fine tune SQL Queries for maximum efficiency and performance. Conduct unit tests and develop ... Analytics using Big Data, Python or R. Strong, proven programming skills in R, Python. Ideally have ...

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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.

Business Analyst (SQL, Tableau, Python)

Prophecy Technologies

Raleigh, NC • On-site

Full-time

Posted 4 days ago

Job description

Job Summary
The Business Analyst will leverage SQL, Tableau, and Python to perform data-rich analyses, develop complex models, and support business decision-making across large, multi-regional organizations. The role involves translating business needs into technical requirements, leading software and system implementations, and communicating analytical outcomes effectively to both technical and non-technical stakeholders.
Key Responsibilities
  • Perform hands-on data analysis and modeling using SQL, Tableau, and Python.
  • Define technical requirements and lead software/system implementations across multiple regions.
  • Translate business objectives into actionable insights and technical solutions.
  • Communicate analytical outcomes, technical challenges, and recommendations clearly to business and technical teams.
  • Lead impactful programs independently under concurrent deadlines.
  • Develop, maintain, and optimize dashboards and visualizations to support business decision-making.
  • Apply knowledge of supply chain models and heuristics to solve complex analytical problems.
  • Collaborate with cross-functional teams, acting as a bridge between business owners and technical teams.

Required Skills & Experience
  • 6+ years of hands-on experience with SQL, Tableau, and Python in data-rich environments.
  • Experience with relational databases and advanced SQL queries.
  • Ability to lead and manage programs under tight deadlines.
  • Strong cross-functional communication skills, able to explain technical concepts to business stakeholders.
  • Experience defining technical requirements and leading system implementations across large organizations.
  • Knowledge of supply chain models and heuristics for quantitative problem-solving.

Desirable Skills
  • Advanced expertise in BI data visualization with Tableau.
  • Experience with SQL Server 2012 Development or similar platforms.
  • Strong business analysis capabilities, including stakeholder management and process optimization.

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