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Remote Football Data Analytics Jobs in Portland, OR

Impact Scale LLC

Entry Data Analyst

Vancouver, WA · On-site +1

$65K - $95K/yr

Data Analyst Position Overview Impact Scale is seeking a detail-oriented and analytical Analyst to support business operations by gathering, interpreting, and analyzing data to drive informed

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Location: (HTA) NCP (Hillsboro, OR) Job ID: R0128931 Date Posted: 2026-05-01 Company Name: HITACHI HIGH-TECH AMERICA, INC. Profession (Job Category): Data Analytics/Business Intelligence Job

Binance.US

Senior Data Scientist, RIsk

Vancouver, WA · Remote

About Binance.US: Binance.US is a licensed and regulated U.S. cryptocurrency exchange where users can buy, trade, hold, and earn digital assets. Recognized as a top U.S. crypto platform by Forbes

Feed The Children

Data Architect

Portland, OR · On-site +1

$67.50 - $87/hr

At Feed the Children, we recognize the value of outstanding people, and we are looking for compassionate changemakers to join our team. We pride ourselves on cultivating a collaborative workplace

Direct Counsel

Conflicts Attorney (Remote)

Portland, OR · Remote

$160K - $220K/yr

Direct Counsel is seeking an experienced Conflicts Attorney to join the Risk Management Department of a respected national law firm. This is a fully remote position, offering an opportunity to

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All JobsFootball Data Analytics JobsRemote Football Data Analytics JobsRemote Football Data Analytics Jobs in Portland, OR

Remote Football Data Analytics information

See Portland, OR salary details

$26

$58

$100

How much do remote football data analytics jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for remote football data analytics in Portland, OR is $58.06, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $65.77 per hour, depending on experience, location, and employer.

How do remote football data analytics professionals typically collaborate with coaches and team analysts?

Remote football data analytics professionals often work closely with coaches and on-site analysts through regular virtual meetings, data-sharing platforms, and real-time communication tools. They are responsible for delivering insightful reports, visualizations, and actionable recommendations that inform game strategies and player development. Clear communication and a collaborative mindset are essential, as these professionals need to translate complex data into accessible insights while responding promptly to feedback and changing team needs.

What is the difference between Remote Football Data Analytics vs Remote Sports Data Analyst?

AspectRemote Football Data AnalyticsRemote Sports Data Analyst
CredentialsDegree in Data Science, Sports Management, or related field; knowledge of football statisticsDegree in Data Science, Sports Management, or related field; broad sports knowledge
Work EnvironmentRemote, focused on football data projectsRemote, covering multiple sports or general sports data analysis
Industry UsagePrimarily in football clubs, leagues, and football-focused mediaIn various sports organizations, media outlets, and analytics firms
Search & Comparison IntentSpecific to football data analysis rolesBroader sports data analysis roles

Remote Football Data Analytics focuses specifically on football-related data, requiring specialized football knowledge and analytics skills. In contrast, Remote Sports Data Analyst roles encompass multiple sports, demanding broader sports industry understanding. Both roles often share similar credentials and work environments but differ in their scope and industry focus.

What is a Remote Football Data Analyst?

A Remote Football Data Analyst is a professional who collects, processes, and interprets football-related data from a remote location, often using specialized software and statistical methods. They analyze match statistics, player performance data, and tactical trends to provide insights for teams, media, or betting companies. Their work helps improve team strategies, scouting, and fan engagement, all while working outside of a traditional office or stadium environment. This role requires strong analytical skills, a deep understanding of football, and proficiency in data analysis tools.

What are the key skills and qualifications needed to thrive as a Remote Football Data Analyst, and why are they important?

To thrive as a Remote Football Data Analyst, you need strong skills in statistical analysis, data interpretation, and a solid understanding of football tactics, typically supported by a degree in statistics, mathematics, or sports science. Proficiency with data analysis tools like Python, R, SQL, and sports analytics platforms such as Opta or Wyscout is highly valued. Excellent communication, attention to detail, and the ability to work independently are crucial soft skills for this remote role. These skills are important to deliver actionable insights that drive team performance and informed decision-making in a competitive sports environment.
What are the most commonly searched types of Football Data Analytics jobs in Portland, OR? The most popular types of Football Data Analytics jobs in Portland, OR are:
What are popular job titles related to Remote Football Data Analytics jobs in Portland, OR? For Remote Football Data Analytics jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Remote Football Data Analytics jobs in Portland, OR look for? The top searched job categories for Remote Football Data Analytics jobs in Portland, OR are:
Remote Football Data Analytics jobs near you
Infographic showing various Remote Football Data Analytics job openings in Portland, OR as of July 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 14% In-person, and 86% Remote job distribution, with an average salary of $120,763 per year, or $58.1 per hour.

Entry Data Analyst

Impact Scale LLC

Vancouver, WA • On-site, Remote

$65K - $95K/yr

Full-time

Medical, Retirement, PTO

Posted 10 days ago

Job description

Data AnalystPosition Overview

Impact Scale is seeking a detail-oriented and analytical Analyst to support business operations by gathering, interpreting, and analyzing data to drive informed decision-making. The ideal candidate has experience working with data, identifying trends, developing reports, and providing actionable insights that improve business performance and operational efficiency.

In this role, you will collaborate with cross-functional teams to evaluate business processes, monitor key performance indicators (KPIs), identify opportunities for improvement, and support strategic initiatives through data-driven analysis.

Key ResponsibilitiesData Analysis Reporting

  • Collect, analyze, and interpret data from multiple sources to identify trends, patterns, and business opportunities.

  • Develop and maintain reports, dashboards, and performance metrics for leadership and internal stakeholders.

  • Monitor key performance indicators (KPIs) and provide regular reporting on business performance.

  • Present findings and recommendations in a clear, concise, and actionable manner.

Business Analysis

  • Evaluate business processes and identify opportunities to improve efficiency, productivity, and performance.

  • Conduct research and analysis to support strategic planning and operational initiatives.

  • Assist in developing forecasts, business models, and performance analyses.

  • Support decision-making by providing data-driven insights and recommendations.

Process Improvement

  • Identify workflow inefficiencies and recommend process improvements.

  • Collaborate with cross-functional teams to implement and monitor operational enhancements.

  • Document business processes, procedures, and best practices.

Cross-Functional Collaboration

  • Partner with departments across the organization to understand reporting needs and business objectives.

  • Support projects by gathering requirements, tracking progress, and analyzing results.

  • Communicate analytical findings to both technical and non-technical audiences.

Qualifications Skills

  • Bachelor's degree in Business, Finance, Economics, Mathematics, Data Analytics, Statistics, or a related field preferred.

  • 2+ years of experience in an analyst, business analyst, data analyst, or similar analytical role.

  • Strong analytical and critical thinking skills with the ability to solve complex problems.

  • Advanced proficiency in Microsoft Excel and Google Sheets.

  • Experience creating reports, dashboards, and data visualizations.

  • Strong attention to detail and organizational skills.

  • Excellent written and verbal communication skills.

  • Ability to manage multiple priorities in a fast-paced environment.

  • Experience working with business intelligence tools (Power BI, Tableau, Looker Studio, or similar) is a plus.

  • Familiarity with SQL or other data querying tools is a plus.

What Success Looks Like

  • Delivers accurate, timely, and actionable reporting that supports business decisions.

  • Identifies trends and opportunities that improve operational efficiency and business performance.

  • Develops reliable dashboards and reporting tools that provide valuable insights to leadership.

  • Collaborates effectively across departments to solve business challenges.

  • Contributes to a culture of continuous improvement through data-driven decision-making.

Hours, Location Benefits

  • Flexible work hours, including remote work options.

  • Generous benefits package, including comprehensive health insurance, retirement savings, and paid time off.

  • Professional development opportunities and education reimbursement.