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Entry Level Sport Data Analyst Jobs in Colorado (NOW HIRING)

... Sports and Casino business units, serving as a key technical contributor to driving total commercial performance. * Collaborate with Data Scientists and Analysts to implement and refine scalable ...

Legal Analyst

Denver, CO · On-site

$57K - $76K/yr

Participates in data-specific team meetings and provides recommendations for new or modified ... Qualifications: * Entry level position * Bachelor's degree or equivalent experience; Business ...

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Entry Level Sport Data Analyst information

How to get into entry level sport data analysis?

Entry level sport data analysts typically need a bachelor's degree in statistics, data science, sports management, or related fields. Developing skills in data analysis tools like Excel, SQL, and Python, along with knowledge of sports metrics and statistics, can improve job prospects. Internships or volunteering with sports organizations can also provide valuable experience.

How to become an entry level sport data analyst with no experience?

To become an entry level sport data analyst with no experience, focus on developing skills in data analysis, statistics, and sports analytics tools like Excel, SQL, or Python. Gaining relevant knowledge through online courses, certifications, or internships can help build your resume and demonstrate your interest in the field.

What is the difference between Entry Level Sport Data Analyst vs Junior Sports Data Coordinator?

AspectEntry Level Sport Data AnalystJunior Sports Data Coordinator
Required CredentialsBachelor's in Sports Management, Statistics, or related fieldBachelor's in Sports Management, Data Analytics, or related field
Work EnvironmentSports teams, analytics firms, media outletsSports organizations, event management companies
Employer & Industry UsageCommonly used in sports analytics and mediaUsed in sports event coordination and team support
Search & Comparison IntentUnderstanding entry-level sports data rolesExploring roles in sports data coordination

Both roles require similar educational backgrounds and are found within sports organizations, but the Entry Level Sport Data Analyst focuses more on data analysis and reporting, while the Junior Sports Data Coordinator emphasizes coordination and support tasks. The choice depends on whether you prefer analytical or operational roles within the sports industry.

What are some typical projects or tasks an entry level sport data analyst might work on during their first year?

As an Entry Level Sport Data Analyst, you can expect to assist with collecting, cleaning, and organizing raw sports data from various sources, such as game statistics and player performance metrics. You'll likely help prepare reports and visualizations for coaches or management, and may be involved in supporting senior analysts during deeper statistical or trend analyses. Collaboration with other analysts, IT staff, and coaching teams is common, and you may also have the opportunity to learn new software or programming languages to enhance data analysis capabilities. These foundational tasks are essential for building your expertise in sports analytics and contributing to the team's decision-making processes.

What does an entry level sport data analyst do?

An Entry Level Sport Data Analyst is responsible for collecting, processing, and analyzing sports-related data to help teams, coaches, and management make informed decisions. Their tasks often include tracking player and team statistics, creating reports, and using software to identify trends and insights. They work closely with coaches and other analysts to provide valuable information that can improve performance and strategy. This role is ideal for individuals with strong analytical skills and a passion for sports, offering a pathway into the growing field of sports analytics.

What are the key skills and qualifications needed to thrive as an entry level sport data analyst, and why are they important?

To thrive as an Entry Level Sport Data Analyst, you need a solid grounding in statistics, data interpretation, and a relevant degree such as mathematics, statistics, or sports management. Familiarity with data analysis tools like Excel, SQL, Python, or specialized sports analytics software is typically required. Strong attention to detail, critical thinking, and clear communication skills help you present insights to coaches and stakeholders effectively. These skills and qualities enable accurate performance evaluation, data-driven decision-making, and clear reporting within fast-moving sports environments.

What are the most commonly searched types of Sport Data Analyst jobs in Colorado?

The most popular types of Sport Data Analyst jobs in Colorado are:

What cities in Colorado are hiring for Entry Level Sport Data Analyst jobs?

Cities in Colorado with the most Entry Level Sport Data Analyst job openings:

Full-time

Re-posted 26 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 take ownership across multiple operational areas, building and maintaining the data layer, surfacing insights, and flagging risks before they become crises. You work closely within the Strategy & Analytics team to ensure our data is accurate, scalable, and directly connected to Ops top-line goals.

We are actively building toward an AI-first way of operating, and this role is part of that. The ideal candidate is technically sharp, relentlessly detail-oriented, and genuinely curious, both about what the data is saying and about how AI can change the way we find and act on answers. You are comfortable moving fast, owning ambiguous problems, and holding yourself to a high bar without being told to.

Responsibilities

Analytical Work & 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.
  • Own the development and maintenance of dashboards and reports that give operational leaders clear visibility into performance across CX, Fraud, Payments, WFM, and VIP.
  • Ensure all reporting reflects up-to-date data, clearly defined KPIs, and documented assumptions.
  • Present findings and data narratives directly to operational stakeholders - translating complexity into clear recommendations they can act on.

Data Infrastructure & Pipelines

  • Build, maintain, and improve data pipelines that feed Ops reporting and dashboards - ensuring consistent, accurate, and well-documented data flows.
  • Partner with Data Engineering 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.
  • Build alerting infrastructure on critical Ops metrics to catch issues early and reduce reactive firefighting.

AI Enablement & Innovation

  • Support the AI agent roadmap by contributing data, analytical rigor, and validated data foundations before an agent moves to build.
  • Track and report on AI agent performance post-deployment - measuring impact against top-line Ops goals.
  • Actively look for opportunities to apply AI to your own workflow - whether that's speeding up analysis, improving accuracy, or eliminating manual work.
  • Bring a point of view on where AI can and can't be trusted, and flag where human judgment needs to stay in the loop.
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 visit https://benefitsatfanatics.com/