1

Nfl Data Analytics Jobs in California (NOW HIRING)

Associate Compensation Partner

Modesto, CA · On-site +1

$37.21 - $55.87/hr

  • Medical

  • Dental

  • Retirement

S. - Barefoot Wine & High Noon and are the official sponsors of the NFL, NHL, UFC, and PGA of ... You will leverage data, analytics, and market insights to guide compensation decisions and support ...

Associate Compensation Partner

Modesto, CA · On-site +1

$37.21 - $55.87/hr

  • Medical

  • Dental

  • Retirement

S. - Barefoot Wine & High Noon and are the official sponsors of the NFL, NHL, UFC, and PGA of ... You will leverage data, analytics, and market insights to guide compensation decisions and support ...

New

Senior Finance Analyst

Modesto, CA · On-site +1

$93K - $140K/yr

  • Medical

  • Dental

  • Retirement

... NFL, NHL, UFC, and PGA of America. View our Corporate Values and Mission Statement here. A Taste Of What You'll Do Are you passionate about analyzing financial data and making a tangible impact ...

Customer Care Representative

Novato, CA · On-site

$18.75 - $25.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

... data loss, by walking them through the process in order to understand the complexities of ... Able to analyze and evaluate customer needs * Able to prioritize and meet deadlines in a fast-paced ...

... party data, research, and trends, across event types, dates, times, and seasons that maximize ... NFL, NBA and Premier League. * Excellent analytical and problem-solving skills, including ...

... party data, research, and trends, across event types, dates, times, and seasons that maximize ... NFL, NBA and Premier League. * Excellent analytical and problem-solving skills, including ...

... party data, research, and trends, across event types, dates, times, and seasons that maximize ... NFL, NBA and Premier League. * Excellent analytical and problem-solving skills, including ...

Director, Partnerships - Sports

Santa Monica, CA · On-site

$120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Deep network across the Big 5 professional leagues (NFL, MLB, NBA, NHL, MLS), collegiate athletics ... Data-Driven: Analytical with a disciplined approach to pipeline management, forecasting, account ...

Provide segmentation data, analysis, and support the strategic plan for each market segment ... Support and manage National Accounts' Seasonal Sports price points including NFL Sunday Ticket.

Provide segmentation data, analysis, and support the strategic plan for each market segment ... Support and manage National Accounts' Seasonal Sports price points including NFL Sunday Ticket.

Associate Finance Manager

Modesto, CA · On-site +1

$113K - $170K/yr

  • Medical

  • Dental

  • Retirement

S. - Barefoot Wine & High Noon and are the official sponsors of the NFL, NHL, UFC, and PGA of ... As an Associate Finance Manager, you will leverage data and analysis to inform critical decision ...

Associate Finance Manager

Modesto, CA · On-site +1

$113K - $170K/yr

  • Medical

  • Dental

  • Retirement

S. - Barefoot Wine & High Noon and are the official sponsors of the NFL, NHL, UFC, and PGA of ... As an Associate Finance Manager, you will leverage data and analysis to inform critical decision ...

Associate Finance Manager

Modesto, CA · On-site +1

$113K - $170K/yr

  • Medical

  • Dental

  • Retirement

S. - Barefoot Wine & High Noon and are the official sponsors of the NFL, NHL, UFC, and PGA of ... As an Associate Finance Manager, you will leverage data and analysis to inform critical decision ...

Associate Finance Manager - Corporate Planning

Modesto, CA · On-site +1

$113K - $170K/yr

  • Medical

  • Dental

  • Retirement

S. - Barefoot Wine & High Noon and are the official sponsors of the NFL, NHL, UFC, and PGA of ... As an Associate Finance Manager, you will leverage data and analysis to inform critical decision ...

Associate Finance Manager

Modesto, CA · On-site

$113K - $170K/yr

  • Medical

  • Dental

  • Retirement

S. - Barefoot Wine & High Noon and are the official sponsors of the NFL, NHL, UFC, and PGA of ... As an Associate Finance Manager, you will leverage data and analysis to inform critical decision ...

Showing results 41-60

Nfl Data Analytics information

What is an NFL Data Analytics?

An NFL Data Analytics job involves collecting, interpreting, and visualizing football-related data to support teams, coaches, and analysts in making informed decisions. Professionals in this role use statistical models and machine learning techniques to evaluate player performance, game strategies, and scouting insights. They work with large datasets, including player tracking data and in-game statistics, to optimize team performance, prevent injuries, and gain a competitive edge. These roles can be found within NFL teams, media companies, or technology firms specializing in sports analytics. Strong skills in programming, data analysis, and football knowledge are essential for success in this field.

Do NFL teams hire data analysts?

Yes, NFL teams hire data analysts to evaluate player performance, develop strategies, and improve team decision-making. These analysts often use statistical tools, data visualization, and sports analytics software to support coaching and management staff.

What are the key skills and qualifications needed to thrive in the NFL Data Analytics position, and why are they important?

To thrive in NFL Data Analytics, you need strong skills in statistics, data modeling, programming (such as Python or R), and a relevant degree in mathematics, statistics, computer science, or a related field. Familiarity with data visualization tools, advanced analytics platforms, and sports-specific databases is highly valued, with certifications in data analytics being a plus. Excellent attention to detail, collaboration, and communication skills are essential for presenting insights to coaches and executives. These competencies ensure data-driven decision-making that directly impacts team performance and strategy.

What are the typical responsibilities of an NFL Data Analytics professional during the football season?

During the football season, NFL Data Analytics professionals are responsible for collecting and analyzing player and team performance data, preparing reports for coaches, and generating predictive models for upcoming games. They often collaborate with coaching staff and scouts to translate data insights into actionable game plans, while also monitoring player health and workload metrics. The role may also involve real-time analysis during games to support strategy adjustments. Being able to communicate complex analyses clearly to non-technical stakeholders is a frequent and critical task.

How to become an NFL Data Analytics analyst?

To become an NFL Data Analytics analyst, candidates typically need a bachelor's degree in fields like statistics, data science, or sports management. Strong skills in programming languages such as Python or R, experience with data visualization tools, and knowledge of football metrics are important. Gaining experience through internships or projects related to sports analytics can also improve job prospects.

What are popular job titles related to Nfl Data Analytics jobs in California?

For Nfl Data Analytics jobs in California, the most frequently searched job titles are:

What job categories do people searching Nfl Data Analytics jobs in California look for?

The top searched job categories for Nfl Data Analytics jobs in California are:

What cities in California are hiring for Nfl Data Analytics jobs?

Cities in California with the most Nfl Data Analytics job openings:

Infographic showing various Nfl Data Analytics job openings in California as of August 2026, with employment types broken down into 2% Internship, 86% Full Time, 5% Part Time, 2% Temporary, and 5% Contract. Highlights an 74% In-person, 3% Hybrid, and 23% Remote job distribution.

AI Engineer, Agent Analytics & Optimization (DPI)

Conviva

Foster City, CA • On-site

Full-time

Re-posted 8 days ago


Job description

Conviva is the first and best place to understand and optimize digital customer experiences. Our Operational Data Platform harnesses full-census, comprehensive client-side telemetry-capturing every aspect of customer experience and engagement across all devices and linking them to the performance of underlying services, in real-time and at a fraction of the cost of alternative solutions. Conviva computes quality of experience across all users and all devices, in real time. We combine user actions with app and system responses to give your technology, business, and operations teams AI-powered insights into any issues impacting user experience and engagement. Trusted by industry leaders like Disney, NBC, and the NFL, Conviva revolutionizes how businesses understand customer experience and engagement, maximizing satisfaction, conversion, and revenue.
Conviva is the intelligence layer for digital businesses, turning every consumer interaction into outcome-based intelligence-linking engagement patterns across AI agents, apps, websites, and streaming video to real results such as purchases, bookings, and resolved support requests. Powered by its patented Time-State Technology®, the Conviva® Operational Data Platform delivers real-time insights and automation that help leading enterprises grow, improve satisfaction, and build lasting trust.
The Opportunity
AI agents are becoming a new digital surface alongside mobile and web. This role builds the systems that let AI agents understand, query, and act on Conviva's behavioral data - MCP servers, agentic workflows, and the AI connectors that tie the platform into any client or downstream system.
This is a builder role end-to-end: design and ship agentic systems from tool interface through deployment, observability, and iteration - working closely with product and customers. This is not a research role, and it is not prompt engineering; the team builds production systems that use AI to solve real problems at scale.
How This Role Fits
This is an engineering role, distinct from Conviva's Product Builder roles on the same team:
  • Product Builders validate direction through customer discovery and prototypes - deciding what agent analytics should become.
  • This role turns that direction into production-grade systems that run reliably at scale - owning the build and the runtime, not the roadmap.

What Success Will Look Like:
Build & Ship
  • Design and build MCP servers that expose Conviva's data and analytics as discoverable, reliable tools for AI agents, with proper auth, scoping, and access controls
  • Architect and ship agentic workflows: multi-step reasoning, tool use, orchestration patterns, and human-in-the-loop where needed
  • Develop AI connectors integrating Conviva's intelligence with external agents, clients, and downstream systems
  • Own the full lifecycle - API/tool design, deployment, monitoring, production hardening

Reliability & Iteration
  • Use evals to validate agent behavior before shipping, catch regressions, and debug production divergence
  • Build observability and tracing to make agent behavior inspectable and auditable
  • Tune for latency, cost, and reliability as models and data drift

Execution & Collaboration
  • Partner with Product Builders, design, and customers to ship working software (not prototypes)
  • Build internal SDKs, reusable patterns, and shared context that raise the floor for the whole team
  • Stay close to the fast-moving MCP/agent ecosystem and bring back what's relevant

Who You Are and What You've Done:
  • 3-7+ years of software engineering experience, with production systems shipped end-to-end
  • Strong Python backend fundamentals; comfortable owning services from design through deployment (fullstack a plus)
  • Hands-on experience building and operating LLM-powered agents in production - with concrete stories of what broke, how you fixed it, and what you'd do differently
  • Practical familiarity with agentic patterns: tool use, structured outputs, prompt chaining, multi-agent coordination, and knowing when a deterministic workflow is the right call
  • Experience designing/building MCP servers or equivalent tool-use / AI connector integrations
  • Have used evals to validate and debug agent behavior
  • Comfortable with cloud deployment (GCP/AWS), containerized services, and async Python
  • Strong product instinct - thinks about what users actually need and pushes back when a spec doesn't add up

Bonus Points
  • Experience with agentic frameworks (LangGraph, Anthropic SDK, Pydantic-AI, CrewAI, or similar)
  • Agent observability/tracing (Langfuse, LangSmith, OpenTelemetry, or homegrown)
  • Background in digital experience analytics, observability, or APM
  • Familiarity with agent evaluation or LLM-ops tooling
  • Published writing, talks, or open-source work at the intersection of engineering and AI

What We Offer
  • A front-row seat to a category being created in real time - agent analytics is where web analytics was in 2005
  • A team that values builders - we use AI every day to move faster, not just talk about it
  • A hybrid role shaping both the "what" and the "how" - strategy meets craft
  • Competitive compensation, equity, and benefits

The expected salary range for this full-time position is $180,000-$250,000 + equity + benefits. Actual level and compensation are determined by qualifications, professional background, and relevant experience.
To learn more about how Conviva can help improve the performance and outcomes of your digital services, visit www.conviva.ai.