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Remote Sports Analytics Jobs in Queens, NY (NOW HIRING)

Yieldmo

Sales Strategist, Sports

New York, NY · Remote

$132.90K - $171.80K/yr

... analytics tools to validate recommendations and improve proposal quality over time. ● Utilize AI ... Remote Work: Our team is fully distributed, though we love an opportunity to get together at our ...

StubHub

Associate, Strategy & Analytics

New York, NY · On-site +1

$132.20K - $155.50K/yr

The Partnerships group works with live events organizers - including sports teams & leagues ... Location: Hybrid (3 days in office/2 days remote) - New York, NY What You'll Do: * Cultivating ...

Delaware North

Marketing Analyst

New York, NY · Remote

$66.80K - $84.10K/yr

Location in Buffalo, NY is preferred, however, we may consider remote candidates in NYC or Boston ... With jobs in iconic sports arenas, stunning national parks, exciting casinos, and more, we pride ...

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$67.3K

$130.8K

$186.8K

How much do remote sports analytics jobs pay per year?

As of May 28, 2026, the average yearly pay for remote sports analytics in Queens, NY is $130,774.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,300.00 and $155,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Sports Analytics professional, and why are they important?

To thrive as a Remote Sports Analytics professional, you need strong analytical abilities, a background in statistics or data science, and a comprehensive understanding of sports, often supported by a relevant degree. Proficiency in analytical tools such as Python, R, SQL, and data visualization platforms like Tableau is typically required. Attention to detail, effective communication, and problem-solving skills are essential soft skills for interpreting data and conveying insights to stakeholders. These skills ensure accurate data-driven decisions, impactful reporting, and valuable contributions to team or organizational performance.

What are some common challenges faced by professionals working in remote sports analytics, and how can they be addressed?

Remote sports analytics professionals often face challenges such as collaborating effectively with team members across different time zones, accessing real-time data feeds, and maintaining clear communication with coaches and decision-makers who may be on-site. To overcome these hurdles, it's important to leverage collaboration tools, establish regular virtual check-ins, and ensure robust data security protocols. Building strong digital communication skills and being proactive about sharing insights can help bridge the gap between remote analysts and on-site teams.

What is remote sports analytics?

Remote sports analytics involves analyzing sports data and statistics from a location outside of traditional sports venues, often using digital tools and software. Professionals in this field use data analysis, machine learning, and visualization techniques to evaluate player performance, team strategies, and game outcomes. This role can be performed from home or any remote location, making it accessible to analysts who may not be physically present at sporting events. Remote sports analysts often work for professional teams, sports organizations, media outlets, or technology companies that provide analytics services.
What job categories do people searching Remote Sports Analytics jobs in Queens, NY look for? The top searched job categories for Remote Sports Analytics jobs in Queens, NY are:
What cities near Queens, NY are hiring for Remote Sports Analytics jobs? Cities near Queens, NY with the most Remote Sports Analytics job openings:
Remote Sports Analytics jobs near you

Head Basketball Coach Remote AI Analytics Leader

Crossing Hurdles

Manhattan, NY • Remote

$70/hr

Full-time

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

Job description

A leading sports analytics company is looking for a Head Basketball Coach for a remote role, offering $70/hr. The role involves evaluating basketball games, reviewing AI-generated commentary, and providing detailed feedback. Ideal candidates should have a deep understanding of basketball, strong analytical skills, and effective communication abilities.

This position offers a flexible commitment of 10-20 hours per week and allows for asynchronous work. Perfect for passionate basketball enthusiasts with a knack for analysis. #J-18808-Ljbffr

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