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Entry Level Game Data Analyst Jobs (NOW HIRING)

Analyze player behavior and gaming data to support loyalty, marketing, and retention strategies. * Predict player churn, support customer segmentation, and drive revenue optimization. * Provide data ...

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 ...

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 ...

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 ...

The ideal candidate combines a deep understanding of the game with advanced technical and ... Bachelor's degree in Data Science, Computer Science, Statistics, Sports Analytics, Mathematics ...

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.

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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 ...

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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 Jun 9, 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:
What are the most commonly searched types of Game Data Analyst jobs? The most popular types of Game Data Analyst jobs are:
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:
DATA ANALYST

DATA ANALYST

Santa Ana Star Casino Hotel

Bernalillo, NM • On-site

Full-time

Posted 11 days ago


Santa Ana Star Casino Hotel rating

7.4

Company rating: 7.4 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

43rd of 135 rated casinos


Job description

Taking directions from the Director of Data & Analytics the Data Analyst is responsible for creating connections, collecting, processing, and analyzing data from various casino operations to assist in generating actionable insights, optimizing operations, strategies and investment, and drive revenue growth.



Core Values & Expectations:

  • Treat all other co-workers with dignity and respect regardless of position.
  • Demonstrate dependability by calling in only when necessary, showing up on time, being prepared to start your shift, and doing your job as described below.
  • Always be honest. Admit mistakes, learn from mistakes, and move forward.
  • Demonstrate an ability to accept constructive criticism and guidance from supervisors.
  • Be professional by showing politeness and courtesy to co-workers and guests under all circumstances.
  • When you don’t know information, how something works, unsure of policy or procedures, or are unclear; seek answers from your supervisor.

Major Responsibilities/Activities:

  • Collect, clean, and process data from multiple internal and external sources utilizing Azure Databricks pipelines.
  • Perform exploratory data analysis to identify trends, patterns, and actionable insights.
  • Develop and maintain data catalogs and dashboards, visualizations, and reports for various business functions.
  • Analyze player behavior and gaming data to support loyalty, marketing, and retention strategies.
  • Predict player churn, support customer segmentation, and drive revenue optimization.
  • Provide data-driven recommendations for casino operations.
  • Analyze workforce data to optimize scheduling, assess trends, and improve retention.
  • Leverage BI tools and data platforms for automation, reporting, and real-time insights.
  • Apply advanced analytics and machine learning to support AI/BI-driven decision-making.
  • Ensures the integrity of files, records, data and property are safeguarded at all times.
  • Responsible for maintaining department records and filing system for all projects.
  • Performs other duties as assigned.

Minimum Requirements:

  • Preference is given to qualified Santa Ana Tribal Members.
  • High School Diploma or GED required.
  • Must be 21 years of age or older.
  • Two to four years of experience in data analysis, preferably in gaming, marketing or hospitality.
  • Proficiency in database applications or business intelligence tools Azure Databricks, ADF, SQL and Python preferred
  • Must have strong analytical and problem-solving skills.
  • Must have experience working with large datasets and data visualization techniques.
  • Must possess excellent communication, organization and written skills.
  • Must be able to work a flexible schedule including weekends, holidays, and varied shifts based on the needs of programs and projects.
  • Must be able to obtain and maintain a Pueblo of Santa Ana Gaming and Regulatory Commission key gaming license.

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