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Live In Sports Data Analyst Jobs (NOW HIRING)

Live In Caregiver Masonicare at Home - Connecticut Masonicare at Home 24/7 Assignments. Time off ... Masonicare has an effective process for assessing market data and establishing ranges to ensure we ...

Sr Data Analyst

Los Angeles, CA ยท On-site

$92K - $116K/yr

AEG is a leader in transforming sports and live entertainment, hosting over 160 million guests annually. The Sr Data Analyst role focuses on analyzing customer behavior and engagement, visualizing ...

... live event experience. Preferred Qualifications Self-starter who works effectively in a fast-paced ... Strong analytical skills with the ability to quickly translate data into actionable insights.

Caregiver Live In

IL ยท On-site

$220/day

Legal Shield, Data & ID Theft Protection * Pet Insurance * Health Discount Program Job Responsibilities As a Live-In Caregiver, you will play a vital role in helping seniors maintain their ...

... live event experience. Preferred Qualifications Self-starter who works effectively in a fast-paced ... Strong analytical skills with the ability to quickly translate data into actionable insights.

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Sports Card Live Breaker

Vancouver, WA ยท On-site

$20 - $30/hr

Host Live Streams * * Run live sports card breaks on Whatnot/YouTube/IG/TikTok * Keep high ... Strong interest in sports cards and the sports world (NBA, NFL, MLB, etc.) * Familiarity with key ...

Urgent

Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to work in an entrepreneurial, high-growth, enthusiastic environment. You will gain significant ...

IL

$220/day

Legal Shield, Data & ID Theft Protection * Pet Insurance * Health Discount Program Job Responsibilities As a Live-In Caregiver, you will play a vital role in helping seniors maintain their ...

Data Analyst

Pittsburgh, PA ยท On-site +1

In this role, you will combine business and technical expertise to support a cloud data warehouse migration, partnering with cross-functional teams to analyze data, define requirements, and deliver ...

In this role, you will leverage data analytics, business intelligence, and reporting expertise to ... Must currently live within a reasonable commutable distance (50 miles) from Alexandria, VA (place ...

Sr Data Analyst

Los Angeles, CA

$92K - $116K/yr

... in transforming sports and live entertainment. Annually, we host more than 160 million guests ... Job Summary The Sr Data Analyst must have a honed skill for choosing the right lens through which ...

Data Analyst

Madison, WI ยท On-site +1

$100K - $115K/yr

We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting ... Candidates must live and work in Wisconsin. * Requires eligibility to work in the United States ...

Sr Data Analyst

Los Angeles, CA ยท On-site

$92K - $116K/yr

... in transforming sports and live entertainment. Annually, we host more than 160 million guests ... Job Summary The Sr Data Analyst must have a honed skill for choosing the right lens through which ...

This role requires the ability to work lawfully in the U.S. without employment-based immigration ... Beyond our connectivity solutions, we also provide local news, programming and regional sports via ...

Data Analyst

New York, NY ยท On-site

$97K - $130K/yr

Data Analyst Req ID: 10150773 Technology is at the heart of Disney's past, present, and future ... in Disney's sports, news, and entertainment content, across all media platforms. SUMMARY As a Data ...

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Live In Sports Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do live in sports data analyst jobs pay per year?

As of Jun 20, 2026, the average yearly pay for live in sports data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

Can a data analyst work in sports?

A live-in sports data analyst specializes in collecting, analyzing, and interpreting sports data to support team strategies, player performance, and game insights. They often use tools like statistical software and data visualization platforms and may work closely with coaches and sports organizations to improve team outcomes.

What jobs pay 2000 a day?

Live In Sports Data Analysts typically do not earn $2000 a day; such high daily rates are more common in specialized consulting, executive roles, or freelance positions in fields like finance or law. High-paying jobs often require extensive experience, certifications, or unique expertise, and daily rates can vary widely based on industry and project scope.

How much do NFL data analysts make?

NFL data analysts typically earn between $50,000 and $100,000 annually, depending on experience, education, and the level of responsibility. Entry-level analysts may start at lower salaries, while those with advanced skills in data analysis tools and sports statistics can earn higher compensation, especially with additional certifications or experience in the sports industry.

How to become a data analyst in sports?

To become a sports data analyst, you typically need a bachelor's degree in statistics, data science, sports management, or a related field. Developing skills in data analysis tools like Excel, SQL, and programming languages such as Python or R is essential, along with knowledge of sports metrics and statistics. Gaining experience through internships or entry-level roles can also help build relevant expertise in sports analytics.
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What cities are hiring for Live In Sports Data Analyst jobs? Cities with the most Live In Sports Data Analyst job openings:
What are the most commonly searched types of Sports Data Analyst jobs? The most popular types of Sports Data Analyst jobs are:
What states have the most Live In Sports Data Analyst jobs? States with the most job openings for Live In Sports Data Analyst jobs include:
What job categories do people searching Live In Sports Data Analyst jobs look for? The top searched job categories for Live In Sports Data Analyst jobs are:
Infographic showing various Live In Sports Data Analyst job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Operations Data Analyst

Fanatics Betting & Gaming

Denver, CO โ€ข On-site

Other

Posted 2 days ago


Job description

About the Team

Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin.

Overview

As an Operations Data Analyst at Fanatics Betting & Gaming, you are on the front lines of how the Operations Department understands its own performance. You sit within the Analytics & AI Enablement team and own the data pipelines, reporting, and analytical work that CX, Fraud, Payments, WFM, and VIP leaders rely on to make decisions every day.

This is not a passive reporting role. You are expected to own your domain end-to-end: build the pipelines, maintain the dashboards, surface the insights, and flag the risks before they become crises. You work closely within the Strategy & Analytics team to ensure the data layer is accurate, scalable, and directly connected to Ops top-line goals.

The ideal candidate is technically sharp, relentlessly detail-oriented, and genuinely curious about what the data is saying. You are comfortable moving fast, owning ambiguous problems, and holding yourself to a high bar without being told to.

ResponsibilitiesData Pipeline Ownership
  • Build, maintain, and improve data pipelines that feed Ops reporting and dashboards - ensuring consistent, accurate, and well-documented data flows.
  • Partner with the Data Engineering function on DBT development, data store buildout, and pipeline reliability.
  • Proactively identify and resolve data quality issues; escalate blockers that require cross-functional resolution.
  • Deprecate manual, one-off data pulls and replace with automated, always-on solutions.
Reporting & Dashboard Delivery
  • Own the development and maintenance of dashboards and reports that give operational leaders clear visibility into performance across their domain.
  • Ensure all reporting reflects up-to-date data, clearly defined KPIs, and documented assumptions.
  • Build toward automated, system-driven reporting that eliminates recurring manual tracking.
Analytical Support for AI Agent Builds
  • Support the AI agent roadmap by pulling data, building business cases, and validating that the data foundations are in place before an agent moves to build.
  • Track and report on AI agent performance post-deployment - measuring impact against top-line Ops goals.
  • Build alerting infrastructure on critical Ops metrics to catch issues early and reduce reactive firefighting.
Ad-Hoc Analysis & Insights
  • Respond to high-priority analytical requests from Ops leaders - turning raw data into clear, actionable insights on a tight timeline.
  • Proactively surface trends, anomalies, and risks from the data without waiting to be asked.
  • Support scenario analysis and impact sizing for product initiatives, operational changes, and staffing decisions.
Required Qualifications
  • 2+ years of experience in an analytical role - business intelligence, data analytics, strategic operations, or a related field.
  • Strong hands-on SQL experience; ability to write, QA, and optimize complex queries independently.
  • Experience supporting AI/ML workflows, agent builds, or automation initiatives in an analytical capacity.
  • Experience building and maintaining dashboards in Sigma, Tableau, or a comparable data visualization tool.
  • Familiarity with DBT or similar data transformation frameworks.
  • High attention to detail - you catch data quality issues before they surface in leadership reporting.
  • Strong communication skills; able to translate analytical findings into plain language for operational stakeholders.
  • Comfortable operating in fast-paced, ambiguous environments with shifting priorities.
Preferred Qualifications
  • Familiarity with operational KPIs across customer support, fraud, payments, or workforce management.
  • Experience with Python or similar scripting languages for data manipulation and automation.
  • Experience in gaming, fintech, sports, or other operationally intensive, high-volume environments.
  • Bachelor's degree in Analytics, Computer Science, Statistics, Economics, or a related field.

Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE-a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.

For information about our benefits, please visitย https://benefitsatfanatics.com/