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Part Time Football Data Analyst Jobs in Remote, OR

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This is a part time role for 20 hours per week with the opportunity to turn into a full time role ... Comfort synthesizing data into clear client-ready summaries * Comfort working with multiple clients ...

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Part Time Football Data Analyst information

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$34K

$82.6K

$135.9K

How much do part time football data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for part time football data analyst in Remote, OR is $82,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Part Time Football Data Analyst, you need a strong understanding of football tactics, data analysis, and statistics, often supported by a relevant degree or experience in sports analytics. Familiarity with data visualization tools (such as Tableau or Power BI), coding languages like Python or R, and football-specific analytics platforms is typically required. Attention to detail, effective communication, and the ability to work independently are standout soft skills in this role. These competencies are crucial for accurately interpreting match data, providing actionable insights, and supporting coaching or scouting decisions.

What are some common challenges faced by part-time football data analysts, and how can they be addressed?

Part-time football data analysts often face challenges such as balancing workload with limited hours, staying up-to-date with rapidly changing match data, and ensuring accuracy under tight deadlines. Collaborating closely with coaches and other analysts helps prioritize key data points and streamlines reporting. Utilizing data visualization tools and efficient data management systems can also increase productivity and reduce errors, making it easier to deliver valuable insights even with time constraints.

What are part time football data analysts?

Part time football data analysts are professionals who collect, process, and analyze data related to football matches and players, typically working on a part-time basis. Their main responsibilities include tracking statistics, reviewing match footage, and providing actionable insights to coaches, scouts, or media organizations. These analysts often use specialized software and statistical tools to identify trends and patterns that can influence team strategy or player performance. Working part time allows them to contribute their expertise while balancing other commitments or roles. This position is ideal for individuals with strong analytical skills and a passion for football.
What are the most commonly searched types of Football Data Analyst jobs in Remote, OR? The most popular types of Football Data Analyst jobs in Remote, OR are:
What job categories do people searching Part Time Football Data Analyst jobs in Remote, OR look for? The top searched job categories for Part Time Football Data Analyst jobs in Remote, OR are:
What cities near Remote, OR are hiring for Part Time Football Data Analyst jobs? Cities near Remote, OR with the most Part Time Football Data Analyst job openings:
Remote Lead Financial Analyst - AI Trainer ($50-$60 per hour)

Remote Lead Financial Analyst - AI Trainer ($50-$60 per hour)

Data Annotation

Coos Bay, OR • Remote

$50 - $60/hr

Full-time, Part-time, Contractor

This job post has expired today. Applications are no longer accepted.


Job description

DataAnnotation is committed to creating high-quality AI. Join our team to help train the nextgeneration of AI while enjoying the flexibility of remote work and the freedom to set your ownschedule. This role is designed to fit a variety of lifestyles — whether you're looking tocontribute part-time alongside a current position, pursue it full-time, or engage periodically as aflexible professional opportunity.

We're currently expanding into an exciting new area – teaching AI Assistant models to be amore useful tool for finance professionals. We're seeking experienced finance professionalswith advanced degrees (MBA+) and professional experience to use their expertise to help shapehow AI understands financial principles and decision-making. We're growing a team of finance experts, and as the team grows, so will your opportunities.

Inthis role, you might: Review and improve AI Assistant answers to questions about macro trends, corporatefinance, and capital markets Leverage your education and work experience to check the reasoning and accuracy of anAI Assistant's work Push the models with complex, real-world scenarios and edge cases to see where theirreasoning holds up – and where it doesn't. Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline.

A Master's or PhD (completed or in progress) is stronglypreferred. Relevant backgrounds include Financial Accounting, Investment Banking, CorporateDevelopment, Wealth Management, and Insurance Planning. Benefits: This is a full-time or part-time REMOTE position You'll be able to choose which projects you want to work on You can work on your own schedule Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-qualityand high-volume work Responsibilities: Give AI chatbots diverse and complex problems and evaluate their outputs Evaluate the quality produced by AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal.

We will never ask for any money from you. PayPal will handleany currency conversions from USD. This is an independent contract position.