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# Games Data Analyst

- **Company:** Insight Global
- **Location:** Redmond, WA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Business Logic, JIRA, Microsoft Azure, Information Engineering, Video Game Development, Github, Power BI, Kusto Query Language, SQL Databases, Software Version Control, Databricks
- **Published:** May 20, 2026
- **Apply:** https://seeker-sp.worksourcewa.com/jobview/GetJob.aspx?JobID=293428201

## About the Role

Professional video game industry experience

3-5 years of relevant work experience in analytics, data engineering, business intelligence or related field.

Strong communicator who prefers working on a team and participating in meetings.

Strong experience with Power BI.

Experience with customers, ambiguity, and exploring/understanding new datasets.

Experience delivering results in a sprint-based cadence within a work item management system such as ADO or Jira.

Experience with source control such as GitHub.

Understanding of video games or digital interactive entertainment products. Experience or knowledge of AI tools and how to use them effectively

Experience with SQL, or KQL (Kusto)

Experience with Databricks

## Description

We are seeking an experienced Data Analyst to join our team. In this role, you will be part of a cutting-edge video game organization focused leveraging data to test video game products more efficiently and effectively. You will be supporting a portfolio of unreleased AAA game titles, and working through complex data sets to drive success of the products.

You will be responsible for analysis of game telemetry data and evaluation of product health across AAA game studios.

The selected candidate will be a critical resource in the successful launch of multiple game titles. We are looking for support on central reporting, assigning business logic to large, complex data sets for performance, crash, telemetry and bug data. These efforts will enable standardization of reporting throughout the team and allow for scalability through productization.


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