ZipRecruiter

Log In

2

Remote Nfl Analyst Jobs (NOW HIRING)

SumerSports LLC

MLOps / ML Platform Engineer

We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs ... Background in sports analytics or other high-volume data domains. * Experience integrating LLM ...

PFF

Senior Data Engineer

$120K - $160K/yr

About PFF PFF is a leading sports analytics company that transforms complex football data into ... Our exclusive player grades, advanced metrics, and tools fuel winning decisions for NFL and college ...

PrizePicks

Senior Integrated Marketing Manager

Atlanta, GA · On-site +1

$130K - $155K/yr

... NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 ... Define success metrics in partnership with Analytics, Finance and Game Operations to evaluate ...

PrizePicks

Data Science Manager - Sports Pricing

Atlanta, GA · On-site +1

$160K - $190K/yr

... NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 ... Lead and grow a high-performing team of pricing analysts and data scientists. * Oversee development ...

Fox

Senior Network Architect

Los Angeles, CA · Remote

... events-including the NFL, MLB, College Football & Basketball, NASCAR, IndyCar, and global ... Architect WAN/long-haul contribution networks for remote production. * Support and integrate cloud ...

Cyderes

Field Marketing Specialist

Charleston, WV · Remote

Own planning executive hospitality programs, including NFL and MLB suite experiences * Partner with ... This is a Remote role WHY CYDERES? Benefits that go beyond the basics, we support our people so ...

Cyderes

Field Marketing Specialist

Own planning executive hospitality programs, including NFL and MLB suite experiences > * Partner ... This is a Remote role > WHY CYDERES? Benefits that go beyond the basics, we support our people so ...

Underdog

Partnerships Manager

OR · Remote

$112K - $140K/yr

The ideal candidate brings both a strategic eye and analytical rigor, with a proven track record in ... the NFL season) * 16 weeks of fully paid parental leave * A $500 home office allowance * A ...

PrizePicks

Director, CRM Marketing

Atlanta, GA · On-site +1

$150K - $180K/yr

... NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 ... Collaborate with Analytics to define success metrics, measure lift, and identify growth ...

PrizePicks

Lead Quantitative UX Researcher

Atlanta, GA · On-site +1

$150K - $185K/yr

... NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 ... analysis. You will play a critical role in guiding cross-functional teams to use data and user ...

next page

Showing results 1-20

People also search for

All JobsRemote Nfl Analyst Jobs

Remote Nfl Analyst information

See salary details

$31K

$73.3K

$130K

How much do remote nfl analyst jobs pay per year?

As of Jun 6, 2026, the average yearly pay for remote nfl analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote NFL analysts and how can they be addressed?

Remote NFL analysts often face challenges such as limited access to in-person team activities, time zone differences when collaborating with colleagues, and staying up-to-date with breaking news. These challenges can be addressed by leveraging virtual collaboration tools for effective communication, subscribing to official league and team news feeds for real-time updates, and maintaining a disciplined schedule to cover games and events across different time zones. Building strong relationships with other analysts and reporters online also helps in sharing insights and information efficiently.

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

To thrive as a Remote NFL Analyst, you need a deep understanding of football strategy, player performance, and statistical analysis, often supported by a degree in sports management, journalism, or a related field. Familiarity with analytics platforms, video editing tools, and data visualization software is typically required. Strong communication, attention to detail, and the ability to work independently make someone stand out in this position. These skills are crucial for delivering insightful, accurate analysis and engaging content to audiences in a fast-paced, remote environment.

What is the difference between Remote Nfl Analyst vs Remote Sports Data Analyst?

AspectRemote Nfl AnalystRemote Sports Data Analyst
Required CredentialsSports-related degree, NFL knowledge, data analysis skillsDegree in statistics, data science, or sports analytics
Work EnvironmentRemote, sports media or analytics companiesRemote, sports organizations, or analytics firms
Industry UsagePrimarily in NFL-focused media and analyticsBroader sports industry, including multiple sports
Common Search/ComparisonYesYes

The main difference between a Remote Nfl Analyst and a Remote Sports Data Analyst lies in their focus. A Remote Nfl Analyst specializes in NFL-specific insights, game analysis, and player evaluations, often requiring NFL knowledge and sports media experience. In contrast, a Remote Sports Data Analyst covers multiple sports, utilizing broader data analysis skills across various leagues. Both roles involve remote work and data analysis but differ in their industry focus and expertise areas.

What is a Remote NFL Analyst?

A Remote NFL Analyst is a professional who studies and interprets data, statistics, and trends related to the National Football League (NFL) while working from a location outside of a traditional office or studio, often from home. They provide insights, commentary, and predictions about games, teams, players, and league developments. Their work may involve writing articles, appearing on podcasts or video streams, and contributing to sports media outlets. Remote NFL Analysts leverage digital tools and online resources to conduct research and communicate their findings to audiences. This role is ideal for those with strong analytical skills, deep football knowledge, and the ability to work independently.
More about Remote Nfl Analyst jobs
What cities are hiring for Remote Nfl Analyst jobs? Cities with the most Remote Nfl Analyst job openings:
What are the most commonly searched types of Nfl Analyst jobs? The most popular types of Nfl Analyst jobs are:
What states have the most Remote Nfl Analyst jobs? States with the most job openings for Remote Nfl Analyst jobs include:
What job categories do people searching Remote Nfl Analyst jobs look for? The top searched job categories for Remote Nfl Analyst jobs are:
Remote Nfl Analyst jobs near you
Infographic showing various Remote Nfl Analyst job openings in the United States as of May 2026, with employment types broken down into 61% Full Time, 13% Part Time, 13% Temporary, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.

MLOps / ML Platform Engineer

SumerSports LLC

Remote

Full-time

Medical, Retirement

Posted 19 days ago

Job description

SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs, technology startups, finance, and academia.
Our data-driven platform empowers teams with insights and tools to make informed decisions within salary cap constraints. The platform also serves the NCAA, offering insights around the transfer portal and more.
What sets us apart is our unique blend of big tech talent, data scientists, and former NFL personnel, who have a combined 600+ years of NFL experience. Our domain knowledge is augmented by AI and machine learning technologies to create a unique view into many aspects of Football.
As an MLOps/ML Platform Engineer, you'll build and operate the core systems that power our machine learning and AI workloads across sports domains. You'll own the infrastructure that keeps our models fast, reliable, and cost-efficient - from data ingestion and training to model serving, deployment, and observability.
This is a hands-on engineering role that blends software infrastructure, distributed systems, and machine learning productionization. You'll work closely with our Deep Learning Research, LLMOps, and Product Engineering teams to ensure that every model we build can be trained, deployed, and monitored at scale.
Responsibilities:
  • Design and operate ML infrastructure: Manage data, training, serving, and inference systems for high-throughput model workflows.
  • Build scalable pipelines: Implement reproducible training and evaluation pipelines with versioning, scheduling, and artifact tracking.
  • Optimize compute and cost: Tune GPU and CPU workloads, manage clusters, and drive efficiency via rightsizing, spot scheduling, and caching.
  • Serve models in production: Operate APIs for low-latency inference with autoscaling, blue-green or canary rollouts, and rollback safety.
  • Ensure reliability and observability: Define and own SLOs; instrument pipelines and services to track latency, cost, drift, and data quality.
  • Secure and automate: Manage IAM, secrets, and container security; automate deployment pipelines via CI/CD and infrastructure as code.
  • Collaborate cross-functionally: Partner with research scientists and AI engineers to deliver models from experiment to production with minimal friction.
  • Document and enable: Build templates, runbooks, and internal tooling that make ML workflows repeatable, safe, and fast.

Qualifications:
  • 4+ years of experience in ML platform, DevOps, or infrastructure engineering.
  • Deep knowledge of Kubernetes, CI/CD, containers, and cloud infrastructure (AWS, GCP, or Azure).
  • Hands-on experience managing GPU clusters and training/inference pipelines.
  • Familiarity with data orchestration and storage formats (Delta, Parquet, Polars, Spark).
  • Proven ability to ship and operate production ML systems with SLOs.
  • Strong Python skills and comfort with infrastructure as code and automation.
  • Experience with observability and cost optimization at scale.

Nice to Have:
  • Experience with real-time or low-latency model serving (REST, gRPC).
  • Exposure to model registry and promotion workflows.
  • Familiarity with data quality, lineage, and curation pipelines.
  • Background in sports analytics or other high-volume data domains.
  • Experience integrating LLM workflows or evaluation pipelines.

Benefits:
  • Competitive Salary and Bonus Plan
  • Comprehensive health insurance plan
  • Retirement savings plan (401k) with company match
  • Remote working environment
  • A flexible, unlimited time off policy
  • Generous paid holiday schedule - 13 in total including Monday after the Super Bowl

Apply