At a Glance
- Tasks: Analyse data to combat fraud and enhance user engagement in mobile gaming.
- Company: Join Tripledot Studios, a leading independent mobile games company with a vibrant culture.
- Benefits: Enjoy 25 days holiday, hybrid working, free daily lunch, and professional development opportunities.
- Other info: Dynamic work environment with exciting career growth and regular team events.
- Why this job: Make a real impact in the gaming industry while working with a passionate team.
- Qualifications: Experience in fraud analysis and a knack for data-driven decision making.
The predicted salary is between 51750 - 63250 £ per year.
Tripledot Studios is one of the largest independent mobile games companies in the world, with a global team of over 2,500 across 12 studios. Our portfolio includes some of the biggest titles in mobile gaming, reaching top chart positions and engaging over 25 million daily active users. We are building a company we are proud of.
The role is working within our studio: PuzzlePlay, which is Tripledot's new player rewards platform designed to enhance the gaming experience. 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 will work with the analyst responsible for gameplay signals, alongside product and data colleagues, to keep that system useful as fraud patterns change.
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 and look for ways to improve the review process.
- Identify gaps in the available signals and recommend third-party tools for the product roadmap.
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.
- Hybrid Working: 20 days remote working.
- Daily Free Lunch when in the office.
- Regular company events and rewards.
- Employee Assistance Program for confidential support.
- Family Forming Support program.
- Life Assurance & Group Income Cover.
- Continuous Professional Development opportunities.
- Private Medical Cover & Health Cash Plan.
- Dental Cover.
- Cycle to Work Scheme.
- Pension Plan with contributory match schemes.
Data Analyst 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 in London
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Tripledot Studios.
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We think you need these skills to ace Data Analyst 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.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Tripledot Studios. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Tripledot Studios!
✨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.
