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Data Analytics Sports Jobs in Oregon (NOW HIRING)

$16.75 - $21/hr

... analytics, and more; with the ultimate goal of providing students with well-rounded practical work experience in sports. Position Purpose Under the direction of the USL Technology & Data Strategy ...

$15.75 - $19.75/hr

... analytics, and more; with the ultimate goal of providing students with well-rounded practical work experience in sports. Position Purpose Under the direction of the USL Technology & Data Strategy ...

$16.75 - $21/hr

... analytics, and more; with the ultimate goal of providing students with well-rounded practical work experience in sports. Position Purpose Under the direction of the USL Technology & Data Strategy ...

$15.75 - $19.75/hr

... analytics, and more; with the ultimate goal of providing students with well-rounded practical work experience in sports. Position Purpose Under the direction of the USL Technology & Data Strategy ...

Champion Your Future with Tarkett Sports. Build your career with a world leader in sports ... Oversee ADP master administration and payroll data integrity. Unions and Certified Payroll * Manage ...

FreedomPay's robust solutions across payments, security, identity and data analytics are available ... gaming, sports and entertainment, foodservice, education, healthcare and financial services.

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Showing results 1-20

Data Analytics Sports information

See Oregon salary details

$23.4K

$97.9K

$182.5K

How much do data analytics sports jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data analytics sports in Oregon is $97,941.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,862.00 and $131,159.00 per year, depending on experience, location, and employer.

What is a data analytics sports professional?

Data analytics sports jobs involve using data analysis techniques to help sports teams, organizations, or media companies make better decisions. Professionals in this field collect, process, and interpret data related to player performance, game strategy, fan engagement, and business operations. They use statistical tools, programming languages, and visualization software to turn raw data into actionable insights. These roles are vital for gaining a competitive edge, optimizing team performance, and enhancing fan experiences in the sports industry.

What skills and qualifications are needed to thrive as a data analytics sports professional?

To thrive as a Data Analytics Sports professional, you need strong statistical analysis skills, a background in mathematics or data science, and familiarity with sports industry metrics. Proficiency with data visualization tools (like Tableau), programming languages (such as Python or R), and sports analytics software is typically required. Analytical thinking, attention to detail, and strong communication skills set top performers apart in this field. These skills are crucial for transforming complex data into actionable insights that enhance team performance and inform strategic sports decisions.

What are common challenges faced by data analysts in the sports industry, and how can they be addressed?

Data analysts in the sports industry often encounter challenges such as integrating disparate data sources (e.g., player stats, wearable tech, and video analysis), ensuring data accuracy, and translating findings into actionable insights for coaches and management. Addressing these challenges requires strong technical skills, effective communication, and a collaborative approach with IT, coaching staff, and sports scientists. Staying updated with the latest analytics tools and maintaining clear documentation can also help streamline workflows and improve decision-making across teams.

What is the difference between Data Analytics Sports vs Data Analysis in Finance?

AspectData Analytics SportsData Analysis in Finance
Required CredentialsBachelor's in Sports Management, Data Science, or related fields; certifications like SAS or TableauBachelor's in Finance, Economics, or related fields; certifications like CFA, CPA
Work EnvironmentSports teams, leagues, sports analytics firms, media companiesBanks, investment firms, financial institutions, corporate finance departments
Employer & Industry UsageUsed to improve team performance, player stats, fan engagementUsed for risk assessment, investment decisions, financial forecasting

Data Analytics Sports focuses on analyzing sports-related data to enhance team performance and fan engagement, while Data Analysis in Finance centers on financial data to inform investment and business decisions. Both roles require strong analytical skills and data tools but serve different industries and objectives.

What are popular job titles related to Data Analytics Sports jobs in Oregon?

For Data Analytics Sports jobs in Oregon, the most frequently searched job titles are:

What cities in Oregon are hiring for Data Analytics Sports jobs?

Cities in Oregon with the most Data Analytics Sports job openings:

Infographic showing various Data Analytics Sports job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $97,941 per year, or $47.1 per hour.

Lead Data Analyst (SQL, Python, Tableau, PowerBI)

Beaverton, OR • On-site

Full-time

Re-posted 4 days ago


Job description

Job Summary:
MDAEdge is seeking a highly technical and self-motivated Lead Data Analyst with strong data storytelling skills to develop end-to-end reporting solutions for a global sports initiative. The role involves working closely with product engineering, supply chain, and manufacturing teams to design scalable data workflows and business dashboards that drive data-informed decision-making.
Responsibilities:
• Lead the design and development of end-to-end reporting and analytics solutions.
• Build and maintain ETL pipelines to enable data ingestion, enrichment, and transformation.
• Design and implement data ingestion processes, including handling user-managed files such as Excel.
• Develop and maintain interactive dashboards and reports using Tableau or Power BI.
• Collaborate with engineering and supply chain teams to define and refine data requirements.
• Translate complex technical data into clear insights for executive stakeholders.
• Ensure accuracy, accessibility, and timely delivery of all reporting outputs.
• Support Agile/Scrum-based project execution and data-driven decision-making.
Qualifications:
Required:
• Bachelor's degree preferred
• 8+ years of experience as a Data Analyst or Data Engineer
• Strong proficiency in SQL and Python
• Expertise with Power BI or Tableau for data visualization
• Experience with Data Lakehouse platforms (Databricks, Snowflake, etc.)
• Experience working within supply chain or manufacturing environments
• Excellent communication skills and ability to translate technical insights for business leaders
• Strong problem-solving ability and business acumen
Preferred:
• Experience with cloud platforms (Azure, AWS, or GCP)
• Knowledge of CI/CD pipelines for data workflows
• Background in sports analytics or event-based reporting
• Experience collaborating across global, cross-functional teams
• Ability to showcase prior visualization projects via a public portfolio (e.g., Tableau Public)
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.