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# Data Analyst

- **Company:** NBI LLC
- **Location:** Royal Leamington Spa, UK (Remote available)
- **Experience:** Experienced
- **Salary:** £35,000.0 - £50,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Amazon Web Services, BigQuery, Data Visualization, Video Game Development, Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Snowflake, Pandas, Matplotlib, Data Analytics, Data Pipelines
- **Published:** July 31, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=14d13312521ff247

## About the Role

* 2+ years of experience in the video game industry (Required)
 * Strong command of SQL, data visualization tools (Power BI, Tableau), and statistical methods
 * Working knowledge of Python and analytical libraries such as pandas and matplotlib
 * Experience analyzing user acquisition, monetization, and retention
 * Clear, concise communication skills tailored to both technical and non-technical audiences
 * Understanding game development cycles and live service operations are preferred
 * Demonstrate professional behavior and maintain a strong work ethic
 * Work collaboratively across departments and with external partners when needed
 * Exhibit flexibility and adaptability to evolving project and team needs

Bonus Points

 * Experience working with remote teams to complete collaborative assignments
 * Domain experience with games and or digital commerce platforms
 * Familiarity across multipole data stack platforms (bigquery, Snowflake, AWS etc)
 * Experience working remote with team members and clients., * video game industry: 2 years (required)
 * Data analytics: 2 years (required)

## Description

* Develop analytical models and frameworks that evaluate player behavior and engagement trends
 * Work with game teams to define KPIs, build dashboards, and deliver clear reporting
 * Identify & communicate insights from datasets to help refine game design and feature development
 * Collaborate with data engineers to maintain and improve data pipelines and sources
 * Advocate for data-informed decision-making and support the culture of continuous learning
 * Establish best practices in data visualization and business intelligence delivery
 * Analyze acquisition, monetization, and retention metrics for existing and upcoming titles
 * Support experimentation design (A/B testing) and results interpretation
 * Work across departments to answer business-critical questions with data


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