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Entry Level Sport Data Analyst Jobs (NOW HIRING)

Job Title: Entry-Level Data Analyst Summary We are looking for a motivated Entry-Level Data Analyst to join our analytics team. The candidate will help collect, process, and analyze data to support ...

Title - Data Analyst Duration - Contract 6+ Months Location - Remote (US) What We Need: We're ... sports franchises in our portfolio - Our mission is to help studios and publishing teams make ...

Company Description Wolf Soccer Club is a growing sports organization dedicated to fostering ... Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team ...

Company Description Wolf Soccer Club is a growing sports organization dedicated to fostering ... Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team ...

Company Description Wolf Soccer Club is a growing sports organization dedicated to fostering ... Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team ...

Company Description Wolf Soccer Club is a growing sports organization dedicated to fostering ... Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team ...

Company Description Wolf Soccer Club is a growing sports organization dedicated to fostering ... Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team ...

Company Description Wolf Soccer Club is a growing sports organization dedicated to fostering ... Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team ...

Company Description Wolf Soccer Club is a growing sports organization dedicated to fostering ... Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team ...

Company Description Wolf Soccer Club is a growing sports organization dedicated to fostering ... Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team ...

Company Description Wolf Soccer Club is a growing sports organization dedicated to fostering ... Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team ...

Growth Data Analyst

Manhattan, NY ยท On-site

$90 - $170/hr

... sports, culture, and current affairs. Built as a peer-to-peer marketplace with no centralized ... As our Growth Data Analyst, you'll own the data layer for everything marketing touches: building ...

Job#: 3041091 Data Analyst I - Asset Data Management Position Overview We are seeking an entry-level Data Analyst to support enterprise asset data management initiatives. This role will focus on ...

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Entry Level Sport Data Analyst information

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

As of Sep 5, 2026, the average hourly pay for entry level sport 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.

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 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 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 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.

More about Entry Level Sport Data Analyst jobs

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

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

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

The most popular types of Sport Data Analyst jobs are:

What states have the most Entry Level Sport Data Analyst jobs?

States with the most job openings for Entry Level Sport Data Analyst jobs include:

Infographic showing various Entry Level Sport Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Entry-Level Data Analyst

Dhalite Inc.

Dallas, TX โ€ข On-site

Other

Posted 11 days ago


Job description

Job Title: Entry-Level Data Analyst


Summary

We are looking for a motivated Entry-Level Data Analyst to join our analytics team. The candidate will help collect, process, and analyze data to support business decisions. This role is ideal for entry level candidates who want to start a career in data analytics.

Responsibilities

Collect and organize data from different data sources.
Clean and prepare datasets for analysis.
Analyze data to identify trends and insights.
Create dashboards and visual reports using Microsoft Power BI
Write SQL queries to extract data from databases like MySQL
Prepare weekly or monthly performance reports.
Support senior analysts with data analysis projects.


Qualifications

Bachelor s degree in Data Science, Computer Science, Economics,
0 2 years of experience or relevant internships in business intelligence, data analysis, or reporting
Familiarity with at least one data visualization tool
Basic knowledge of statistics
Strong analytical and problem-solving skills
Good communication skills to present data insights clearly
Attention to detail and ability to work with large datasets