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Entry Level Game Data Analyst Jobs (NOW HIRING)

Swish Analytics

Sports Data Analyst

San Francisco, CA

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Define data validation tests to flag future game errors * Research accurate roster active statuses ...

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Define data validation tests to flag future game errors * Research accurate roster active statuses ...

InstantServe LLC

Data Analyst

Tallahassee, FL · On-site

Tallahassee, FL 32399 Position Overview:- We are seeking an Entry-Level Web Applications Programmer to support business modernization, data analysis, reporting, and application support initiatives.

Tachyon Technologies

Data Analyst

Redmond, WA

$62/hr

Data Analyst with Marketing or Reporting Data experience Location : Redmond, WA Duration : 18 ... e., game sales world wide by different platforms) Candidates will have a proven track record of ...

Apex Systems

Data Analyst

Birmingham, AL · On-site

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 ...

Director of Human Resources

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Data Analyst

Des Plaines, IL · On-site

$22 - $26/hr

This role is an entry level role for candidates looking to build a career in data analytics. The Data Analyst will work closely with operations, production, supply chain, quality, and finance teams ...

TheHomeMag

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Business Data Analyst (Entry Level)

Cape Coral, FL · On-site

$50K - $65K/yr

Business Data Analyst (Entry Level) Cape Coral, FL | Full-Time | On-Site About the Role We are seeking a motivated and detail-oriented Entry Level Business Data Analyst to join our growing team in ...

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Entry Level Game Data Analyst information

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

As of Jul 21, 2026, the average hourly pay for entry level game 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 is the difference between Entry Level Game Data Analyst vs Entry Level Data Analyst?

AspectEntry Level Game Data AnalystEntry Level Data Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; knowledge of gaming industry toolsBachelor's in Data Science, Statistics, or related field; proficiency in Excel, SQL, and data visualization
Work EnvironmentGaming companies, studios, or publishers; focus on game performance and user engagementVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsagePrimarily in gaming industryAcross multiple sectors

While both roles involve data analysis skills, the Entry Level Game Data Analyst specializes in gaming industry metrics and tools, focusing on game performance and user engagement. The Entry Level Data Analyst has a broader application across industries, emphasizing general data interpretation and reporting skills.

What does an Entry Level Game Data Analyst do?

An Entry Level Game Data Analyst is responsible for collecting, processing, and analyzing data related to player behavior, game performance, and user engagement in video games. They work closely with game designers and developers to provide insights that help improve gameplay, balance game mechanics, and enhance the overall player experience. Their tasks often include creating reports, visualizing data, and helping identify trends or issues within the game. This role is ideal for individuals with strong analytical skills and a passion for gaming.

What are the key skills and qualifications needed to thrive as an Entry Level Game Data Analyst, and why are they important?

To thrive as an Entry Level Game Data Analyst, you typically need a solid understanding of statistics, data analysis, and familiarity with gaming concepts, often supported by a degree in mathematics, computer science, or a related field. Proficiency in SQL, Excel, and data visualization tools such as Tableau or Power BI, along with basic knowledge of programming languages like Python or R, is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate data insights into actionable recommendations for game development teams. These skills are crucial for driving informed decision-making and optimizing player experiences within the gaming industry.

What are some typical challenges faced by entry level game data analysts when interpreting player behavior data?

Entry level game data analysts often encounter challenges such as distinguishing between meaningful player trends and outliers, dealing with incomplete or inconsistent data, and translating complex datasets into actionable insights for game designers. Additionally, analysts must learn to communicate their findings effectively to non-technical team members, ensuring that recommendations are clear and relevant. Overcoming these challenges typically involves close collaboration with senior analysts, ongoing learning about the game's mechanics, and developing data storytelling skills.
More about Entry Level Game Data Analyst jobs
What cities are hiring for Entry Level Game Data Analyst jobs? Cities with the most Entry Level Game Data Analyst job openings:
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What states have the most Entry Level Game Data Analyst jobs? States with the most job openings for Entry Level Game Data Analyst jobs include:
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Entry Level Game Data Analyst jobs near you
Infographic showing various Entry Level Game Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA

Full-time

Posted 24 days ago

Job description

Company Description

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.

Duties:

  • Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity issues

  • Detect data inaccuracies such as missing, out of range or otherwise incorrect on-field data

  • Source origins of data inaccuracies through data pipeline dependencies and python code base

  • Define data validation tests to flag future game errors

  • Research accurate roster active statuses, primary positions and game participation

  • Validate data changes after logic updates

  • Production model feature deep dives to explain project market lines

  • Clearly document findings

  • Develop intimate familiarity with existing databases and construct metadata references

  • With guidance, support lead Data Scientists in feature development and model analysis

Requirements:

  • Bachelor's Degree in Computer Science, Data Science or similar major

  • Minimum of 1 year of experience in football data analysis

  • Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies, and typical in-game scenarios

  • Data Extraction, Wrangling and Analysis in Python

  • Strong SQL querying skills

  • Attention to detail

Preferred:

  • Strong Python data management programming skills

  • Data Visualization experience with a user application like Streamlit

  • Deep knowledge of a second sport including football, basketball, baseball, hockey or tennis

  • Exposure to the data science process and tech stack

  • Anomaly Detection Techniques

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.