At a Glance
- Tasks: Analyse data to combat fraud and enhance user segmentation for mobile gaming.
- Company: Join Tripledot Studios, a leading independent mobile games company with a vibrant culture.
- Benefits: Enjoy 25 days holiday, remote work options, free lunches, and professional development opportunities.
- Other info: Dynamic team environment with exciting career growth potential.
- Why this job: Make a real impact in the gaming industry while working with innovative fraud detection methods.
- Qualifications: Experience in data analysis and fraud investigation, with a passion for gaming.
The predicted salary is between 33075 - 40425 £ per year.
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. We’re building a company we’re proud of, 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.
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. 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.
Key Responsibilities
- Review fraud signals regularly, adding, removing and refining them to distinguish suspicious activity from legitimate users.
- 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.
- 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.
- Experience designing or improving fraud signals, user segments or review processes.
- The ability to work with product and other teams to turn analysis into operational fraud controls.
Working at Tripledot
- 25 days paid holiday in addition to bank holidays.
- 20 days remote working: Work from anywhere in the world.
- Daily Free Lunch: when in the office you get £12 every day to order from JustEat.
- Regular company events and rewards.
- Employee Assistance Program: confidential support available.
- Life Assurance & Group Income Cover.
- Continuous Professional Development opportunities.
- Private Medical Cover & Health Cash Plan.
- Dental Cover.
- Cycle to Work Scheme.
- Pension Plan: Qualifying earnings or opt-in 4% contributory match schemes offered.
Data Analyst - Home Based (remote) in London employer: Tripledot Studios
Tripledot Studios is an exceptional employer, offering a vibrant work culture that thrives on creativity and innovation in the mobile gaming industry. With a strong emphasis on employee growth, the company provides continuous professional development opportunities, hybrid working arrangements, and generous benefits such as 25 days of paid holiday, daily free lunches, and comprehensive health coverage. Located in San Francisco, employees enjoy a dynamic environment where they can collaborate with talented individuals and contribute to the success of award-winning games that engage millions worldwide.
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We think this is how you could land Data Analyst - Home Based (remote) in London
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We think you need these skills to ace Data Analyst - Home Based (remote) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Tripledot Studios, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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How to prepare for a job interview at Tripledot Studios
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
