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Entry Level Football Data Analyst Jobs (NOW HIRING)

Managed Staffing

Data analyst I

Austin, TX · On-site

$25 - $28/hr

1-3 years' experience in data analysis Strong Microsoft Excel skills (must-have) Experience with Power BI Entry-level knowledge of C++ and CSS (nice-to-have, not core) Engineering Technician I Active ...

GainAm

Entry Level Data Analyst job

Hicksville, NY · On-site

$70K/yr

Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep ...

Cooper Companies

Data Analyst 1

West Henrietta, NY

$28K/yr

Job Summary Data Analyst 1 is an entry-level, developmental role designed to build foundational data analytics and visualization skills in preparation for progression to a Data Analyst 2 role. The ...

CooperCompanies

Data Analyst 1

West Henrietta, NY · On-site

$28K/yr

Job Summary Data Analyst 1 is an entry-level, developmental role designed to build foundational data analytics and visualization skills in preparation for progression to a Data Analyst 2 role. The ...

Hays Electrical Services

Data Analyst I

Houston, TX · On-site

Data Analyst I Business Intelligence & Strategy | Hays Electrical Services | Houston, TX | On-Site Position Summary The Data Analyst I is an entry-level position within the Business Intelligence ...

Snap Finance

Data Analyst I

West Valley City, UT · On-site

The Data Analyst I is an entry-level analytics professional responsible for collecting, analyzing, and interpreting data to help drive informed business decisions across Snap's portfolio. This role ...

TWC Business Unit

Data Analyst (Statewide)

Austin, TX · On-site

$4.8K/mo

The Data Analyst I performs entry-level data analysis and data research work. Works under close supervision, with minimal latitude for using initiative and independent judgment. YOU WILL BE TRUSTED ...

ITA International

Junior Data Analyst

$107K - $115K/yr

This entry-level position provides an exciting opportunity for individuals seeking to launch their careers in data analysis. The successful candidate will assist in collecting, analyzing, and ...

Robert Half

Financial Data Analyst

Trenton, NJ · Remote

$18 - $18.50/hr

This Long-term Contract opportunity is well suited for an early-career candidate or entry-level applicant who is eager to build hands-on experience in financial analysis, data review, and market ...

New

Modea

Data Analyst I

Roanoke, VA · Remote

This position serves as an entry-level pathway to developing hands-on expertise in tag management, product analytics, search visibility measurement, and data storytelling. Essential Duties and ...

New

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Entry Level Football Data Analyst information

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How much do entry level football data analyst jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for entry level football data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

How to become a sports analyst with no experience?

Entry level football data analysts can start by gaining knowledge of the sport, learning data analysis tools like Excel or SQL, and understanding basic statistics. Building a portfolio with sample analyses or volunteering to analyze local teams can help demonstrate skills to employers without prior professional experience.

How much does a football data analyst make?

Entry level football data analysts typically earn between $40,000 and $60,000 annually, depending on experience, location, and the organization. Salaries can increase with additional skills in data analysis tools and sports analytics platforms.

Can I be a data analyst with no experience?

Entry level football data analyst positions often do not require prior professional experience, but candidates should have strong analytical skills, familiarity with data tools like Excel or SQL, and a basic understanding of football statistics. Gaining relevant knowledge through online courses or certifications can improve chances of securing such roles.

Do NFL teams hire data analysts?

NFL teams do hire data analysts to evaluate player performance, game strategies, and team statistics. These analysts often use data analysis tools and statistical software to support decision-making and improve team performance.

What is the difference between Entry Level Football Data Analyst vs Football Operations Assistant?

AspectEntry Level Football Data AnalystFootball Operations Assistant
Required CredentialsBachelor's in Sports Management, Data Science, or related field; basic knowledge of data analysis toolsBachelor's in Sports Management or related field; organizational skills
Work EnvironmentData-focused, analytical tasks, often office-basedOperational support, event coordination, on-field and office work
Employer & Industry UsageSports teams, analytics firms, scouting agenciesFootball clubs, sports organizations, event management
Common Search & ComparisonYesYes

The Entry Level Football Data Analyst primarily focuses on analyzing game data, player statistics, and performance metrics using data analysis tools. In contrast, a Football Operations Assistant handles logistical and operational tasks such as event coordination and team support. While both roles support football organizations, the analyst role is more data-driven, whereas the operations assistant emphasizes organizational and support functions.

More about Entry Level Football Data Analyst jobs
What cities are hiring for Entry Level Football Data Analyst jobs? Cities with the most Entry Level Football Data Analyst job openings:
What are the most commonly searched types of Football Data Analyst jobs? The most popular types of Football Data Analyst jobs are:
What states have the most Entry Level Football Data Analyst jobs? States with the most job openings for Entry Level Football Data Analyst jobs include:
What job categories do people searching Entry Level Football Data Analyst jobs look for? The top searched job categories for Entry Level Football Data Analyst jobs are:
Entry Level Football Data Analyst jobs near you
Infographic showing various Entry Level Football Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
NewForce Entry Level Data Analyst (2026)

NewForce Entry Level Data Analyst (2026)

Generation West Virginia

Charleston, WV

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago

Job description

About Inspira Analytics

Inspira Analytics is a data consulting firm based in Charleston, WV, helping small to mid-sized businesses unlock the power of their data. From basic reporting to advanced visualization and forecasting, we make complex information simple and strategic. We serve a wide range of industries including healthcare, logistics, and retail-providing clean, clear, and customized analytics that meet our clients where they are. We are also passionate about workforce development in Appalachia. Our team includes local talent trained in modern analytics tools and techniques, and we invest heavily in early-career professionals through mentorship and hands-on learning.

Mission: To empower organizations with accessible, accurate, and actionable data insights that drive smarter decisions and sustainable growth. 

Vision: To be the most trusted partner in transforming raw data into meaningful intelligence-one insight at a time.

What we do:

  • Custom dashboards and reporting (Tableau, Power BI)
  • SQL and Python data pipelines
  • Data cleaning and integration
  • Data analytics training and upskilling
Job Summary

We are seeking a highly motivated and detail-oriented Junior Data Analyst to join our data-driven team. As a Junior Data Analyst, you will play a crucial role in supporting data-related activities within our organization. You will work closely with senior data analysts and other team members to collect, analyze, and present data insights that inform decision-making and drive business growth. This is an excellent opportunity for a recent graduate or entry-level professional to gain valuable experience in the field of data analysis.

Junior Data Analyst Duties and Responsibilities
  • Data Collection and Cleaning: Collect and compile data from various sources, ensuring data accuracy and completeness. Perform data cleaning and transformation as necessary to prepare it for analysis.
  • Data Analysis: Assist in conducting data analysis using statistical methods, data visualization tools, and data analysis software. Summarize findings in clear and concise reports.
  • Data Visualization: Create visually appealing and informative charts, graphs, and dashboards to present data insights to stakeholders. Use tools such as Tableau, Power BI, or Excel for visualization.
  • Report Generation: Prepare regular and ad-hoc reports to communicate key metrics and findings to the team and management. Ensure reports are accurate and delivered on time.
  • Data Quality Assurance: Help maintain data quality standards by identifying and resolving data discrepancies or inconsistencies. Collaborate with other team members to establish data quality protocols.
  • Collaboration: Work closely with cross-functional teams, including data engineers, business analysts, and stakeholders, to understand data requirements and deliver actionable insights.
  • Research and Learning: Stay up-to-date with industry trends and best practices in data analysis. Continuously expand your knowledge and skills in data analytics techniques and tools.

Requirements

  • Strong analytical skills and a passion for working with data.
  • Proficiency in data analysis tools and programming languages such as Excel, SQL, Python, or R.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Excellent communication skills, with the ability to translate complex data into understandable insights.
  • Detail-oriented and capable of maintaining data accuracy and integrity.
  • Strong problem-solving skills and the ability to think critically.
  • Highly organized and able to manage multiple tasks and deadlines effectively.
  • Team player with a collaborative mindset and the ability to work well in a diverse team environment.
  • Eagerness to learn and adapt to new tools, techniques, and technologies in the field of data analysis.

Benefits

  • 401(k)
  • Dental insurance
  • Disability insurance
  • Health insurance
  • Paid time off
  • Vision insurance
  • Bonus opportunities

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