Data Analyst
At a glance
Mid-level Data Analysis & BI role at Tripledot Studios. Tblisi.
Pay not stated Data Analyst salary
dataroles summary, based on the employer's posting.
What you'll do
- Reassess indicators such as IP spoofing, VPN use and unusual play, adjusting them to separate abuse from genuine activity
- Set how fraud indicators map to user groups, then track whether those groups remain useful over time
- Help product colleagues choose suitable ways to verify users in different markets
- Examine people flagged for manual checks, including uncertain Tremendous queue cases, and improve the review flow
- Find missing fraud indicators and suggest outside services for the product roadmap
What you bring
- You have used data directly to investigate fraud and guide detection or prevention choices
- You have built or refined fraud indicators, user groups or review workflows as tactics change
- You can turn analytical findings into working fraud controls with product and other teams
Who this fits
This role suits an analyst with hands-on fraud investigation experience, not someone who has only supported a fraud team. You’ll work with the gameplay-signals analyst and product and data colleagues. Applicants can be based in Europe, with Warsaw preferred.
From the employer
Who are we?
Tripledot Studios is one of the largest independent mobile games companies in the world.
We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios.
Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users.
Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others.
We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games.
Our ambition is to be the most successful games company in the world, and we’re just getting started.
The role is working within our studio: PuzzlePlay
Puzzleplay is Tripledot’s new player rewards platform, designed to make playing our games even more fun and engaging. By playing our casual, free to play mobile games, users can earn points, complete challenges, and win real prizes. It’s our way of giving back to players and rewarding them for doing what they already love. Puzzleplay is a key part of our growth strategy, combining smart engagement mechanics with high-quality game content.
Role Overview
Puzzleplay at Tripledot Studios is looking for a data analyst to own the fraud side of its user segmentation work. The team is building a system that combines fraud and activity signals to understand users and inform revenue-share decisions. You'll work with the analyst responsible for gameplay signals, alongside product and data colleagues, to keep that system useful as fraud patterns change.
Fraud patterns keep changing, so you'll regularly revisit the signals behind the segments and help the product team decide which verification methods make sense in each market.
This role is open to candidates based in Europe; Warsaw is preferred, where several of the people you'll work with are based.
Key Responsibilities
- Review fraud signals regularly, adding, removing and refining them to distinguish suspicious activity from legitimate users. Signals under consideration include IP spoofing, VPN use and unusual play patterns.
- Own the fraud-related segments of the user segmentation system, from deciding how signals should be interpreted to monitoring how well the categories work over time.
- Work with the product team on fraud verification tools for different markets. The team currently uses FaceTec for facial verification and may need other methods, such as ID scanning or phone verification, in other countries.
- Investigate users flagged for manual review, including ambiguous cases in the Tremendous queue, and look for ways to improve the review process.
- Identify gaps in the available signals and recommend third-party tools for the product roadmap where they would help.
Required Skills, Knowledge and Expertise
- Hands-on experience using data to investigate fraud and shape detection or prevention decisions, not just working alongside a fraud team.
- Experience designing or improving fraud signals, user segments or review processes, with an interest in how those decisions change as tactics evolve.
- The ability to work with product and other teams to turn analysis into operational fraud controls.
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