You will own the operational data layer for GEEIQ, ensuring accurate and trustworthy data flows between virtual worlds and global brands. This hands-on role involves pulling, validating, and importing data using SQL and NoSQL databases. You’ll work AI-first to unblock the team, maintaining the reliable backbone that powers our product and client services.
Data Operations Specialist at GEEIQ
GEEIQ is revolutionizing how brands like Gucci and Porsche measure success in virtual worlds like Roblox and Fortnite. This isn't a traditional engineering role; it is a high-impact position for a SQL expert who builds with AI tools like Cursor and Claude to unblock teams and ensure data integrity. If you have 2-4 years of experience and want a visible role in a fast-growing startup with a thriving culture, apply today!
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Location
London, United Kingdom
Compensation
Not Disclosed
Company
GEEIQ
Role overview
GEEIQ is a London-based data platform and insights provider founded in 2018 that enables brands to navigate virtual worlds like Roblox, Fortnite, and ZEPETO. It leverages data from virtual gaming and social environments for benchmarking, competitor analysis, partner identification, audience demographics, and provides expert bespoke reporting and strategy curation focused on measurement and attribution.
What you will do
- Own data access across the product lifecycle by pulling, shaping, and delivering actionable data in the format needed by product, sales, and client service teams.
- Validate and quality-check platform data to identify anomalies and spot trends, ensuring every number provided to world-class brands is accurate and trustworthy.
- Partner with data engineers to manage routine ingestion tasks and use AI tools like Cursor and Claude to rapidly translate business logic into complex database queries.
Who this is a fit for
- Possesses 2–4 years of experience in data operations, BI, or revenue ops, with a service-oriented mindset and a pride in being the reliable go-to for data needs.
- Demonstrates fluency in SQL and NoSQL (MongoDB/Elasticsearch), including the ability to read nested JSON structures and audit AI-generated code for safety and optimization.
- Exhibits a sophisticated AI-first approach, with experience prototyping or building with tools like Claude Code, Cursor, or agentic workflows rather than just using basic chat interfaces.
Why this role is remarkable
- Sit at the intersection of gaming and big-brand marketing, working with high-profile data from environments like Fortnite and Roblox for clients like Walmart and Porsche.
- Join a high-growth Series A startup with a 52 eNPS score—nearly double the industry average—reflecting a culture that genuinely values collaboration, innovation, and flexible hybrid work.
- Be genuinely indispensable in a role with a non-engineering growth path, moving into owning data quality functions and attribution research as the company defines a new marketing frontier.
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If your profile’s a match and GEEIQ wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.