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Game Data Analyst Remote Jobs in Troy, MI (NOW HIRING)

EnthuZiastic

Growth Hacker - Remote

Warren, MI · Remote

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

EnthuZiastic

Growth Hacker - Remote

Detroit, MI · Remote

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

EnthuZiastic

Growth Hacker - Remote

Rochester Hills, MI · Remote

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

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All JobsGame Data Analyst JobsGame Data Analyst Remote JobsGame Data Analyst Remote Jobs in Troy, MI

Game Data Analyst Remote information

See Troy, MI salary details

$32.2K

$78.3K

$128.9K

How much do game data analyst remote jobs pay per year?

As of Sep 4, 2026, the average yearly pay for game data analyst remote in Troy, MI is $78,325.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,200.00 and $91,900.00 per year, depending on experience, location, and employer.

What does a remote game data analyst do?

A remote Game Data Analyst collects, processes, and interprets large sets of data generated by players in video games. They use statistical techniques and data visualization tools to identify player behaviors, trends, and areas for game improvement. Working remotely, they collaborate with game designers, developers, and marketing teams to provide insights that inform game development, monetization strategies, and player engagement. Their work helps ensure the game remains fun, fair, and profitable.

How does a remote game data analyst typically collaborate with development and design teams?

As a remote Game Data Analyst, collaboration with development and design teams usually happens through regular virtual meetings, shared dashboards, and project management tools. Analysts provide actionable insights from player data, helping designers refine game features and developers optimize gameplay mechanics. Effective communication and clear data visualizations are key, as you'll often translate complex metrics into recommendations that drive game improvements. Building strong remote relationships and maintaining open channels for feedback are essential for success in this role.

What are the key skills and qualifications needed to thrive as a remote game data analyst, and why are they important?

To thrive as a Game Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field, often supported by a relevant degree. Experience with data analysis tools like SQL, Python, R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, problem-solving abilities, and a passion for gaming help analysts convey insights and collaborate effectively with game development teams. These skills ensure data-driven decisions that enhance player experience and drive business growth in the gaming industry.

What is the difference between Game Data Analyst Remote vs Game Data Scientist?

AspectGame Data Analyst RemoteGame Data Scientist
Required CredentialsBachelor's in Data Science, Analytics, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentRemote, collaborative with game development teamsRemote or on-site, often more research-focused
Industry UsageCommon in gaming companies for analytics rolesLess common, more specialized in data modeling and AI
Search & Comparison IntentOften compared for analytics roles in gamingCompared for advanced data modeling roles in gaming

Game Data Analyst Remote and Game Data Scientist roles share similarities in industry and remote work settings but differ in complexity and focus. Data analysts primarily interpret game data to improve user experience, while data scientists develop predictive models and advanced analytics. Understanding these differences helps candidates choose roles aligned with their skills and career goals.

What are popular job titles related to Game Data Analyst Remote jobs in Troy, MI?

For Game Data Analyst Remote jobs in Troy, MI, the most frequently searched job titles are:

What job categories do people searching Game Data Analyst Remote jobs in Troy, MI look for?

The top searched job categories for Game Data Analyst Remote jobs in Troy, MI are:

Game Data Analyst Remote jobs near you

Data Architect (Remote)

Delan Associates, Inc

Auburn Hills, MI • Remote

$65.25 - $84/hr

Full-time

Re-posted 11 days ago

Job description

Position Description

The Senior Enterprise Data Architect will be responsible for designing and implementing solutions within Business Intelligence and Data Management software and hardware to meet business requests. The ideal candidate should be able to create data solutions leveraging Master Data Management (MDM) and Data Warehouse (DW) technologies. This role will work under the direct leadership of the Senior Manager for Enterprise Data Architecture. Knowledge of industry-standard Business Intelligence software and Data Integration Management technologies is required.

General

Must be self-motivated and able to work independently while consistently meeting deadlines.

Strong business and technical verbal and written communication skills.

Experience creating metrics and dashboard analytics.

Strong working knowledge of different analysis tools and techniques.

Demonstrated analytical ability and creativity in developing and implementing solutions for complex problems on medium-sized projects.

Strong SQL skills.

Functions Performed

This individual may be asked to solely perform these functions or may choose to delegate some of these functions to other members of their team, per agreement with the Senior Manager for Enterprise Data Architecture. Ultimately, responsibility for ensuring that the functions are performed rests with this position.

General Functions/Responsibilities

Architect and design business intelligence solutions for accessing and analyzing data and metadata.

Experience with Enterprise Data Warehouse (EDW), Data Mart, and Operational Data Store (ODS) architectures.

Expertise in data modeling, including star, snowflake, and other dimensional modeling techniques.

Experience architecting and developing database solutions using both OLAP and OLTP technologies.

Extensive experience in architecture, data modeling, design, development, data migration, and data integration throughout the Software Development Life Cycle (SDLC).

Participate in and/or lead design sessions, demonstrations, prototype sessions, testing, and training workshops with business users and IT associates.

Develop and maintain technical documentation.

Support business projects by providing Subject Matter Expert (SME) knowledge in Enterprise Data Management.