New Games Business Analyst

Help us decide which games are worth building — and how much to invest on the ones that work. We're looking for a Business Analyst to help decide which new games Wildlife should build, scale, and invest in - and how to do it. You’ll be part of the New Games Product Marketing team at Wildlife Studios. New Games is where the portfolio of the next few years takes shape. We take concepts — sometimes a single playable ad, sometimes a prototype with a few levels — put them in front of real players and ask: is there a business here, and if so, how do we make it work at scale? That means figuring out not just whether players want the game, but how to find them and acquire them efficiently. You'll work across experimentation, modeling, product analytics, market and distribution strategy, and investment decisions - often with limited data and no obvious right answer. You'll need to understand the product, challenge assumptions, figure out what the data can actually tell us, and turn that into a recommendation: what should we build, who should we build it for, how do we reach those players, and how much should we invest? We work with games from their earliest concepts, even before a line of code exists, all the way through global launch. Throughout that journey, the work is the same: understand the product deeply, dig into the data, help make it better, and figure out the best way to distribute it. If you like working in a dynamic place, digging into questions where the data is thin and the answer still matters, and sitting close to product rather than downstream of it, this is the seat. What you'll do Analysis and experimentation: Analyze player and game performance across engagement, monetization, and cost of acquisition, turning data into a clear read and recommendation. Help design and evaluate tests, from concept tests to soft launches, and be clear about what the data can and cannot prove. Distribution strategy: Help shape how a new game reaches players, including which markets, channels, audiences, and creative angles to test and at what cost. Analyze where investment should go across platforms like Meta, Google, and TikTok, and understand what each platform is actually optimizing Support kill, iterate, and scale decisions: Build the analysis and recommendations behind key product decisions, bringing a clear view of what the data tells us and what we should do next. Modeling under uncertainty: Work with early LTV, payback, and market-size models where data is limited. Understand the assumptions behind them and use them to inform investment and growth decisions. Launch strategy: For the games that graduate, help shape how they go global, including which markets open when, how fast to ramp, and how much to invest. Problem prioritization: New games generate more questions than we can answer. Use judgment to identify the problems and analyses most likely to change a product or investment decision, and proactively drive them forward. Cross-functional teamwork: Work alongside the game team, product, and creative across a title's whole life. Bring the market and player read into product discussions, including what players are responding to and what the numbers say the game still has to fix. Bring the product reality back into how the game gets positioned and distributed. What you'll need Bachelor's degree in Engineering, Computer Science, Statistics, Economics, Business, or equivalent practical experience. Strong analytical, organizational, and communication skills — you can explain a model to someone who will never read the code. Working proficiency in SQL, plus Python or R. Comfort with incomplete data and questions that arrive badly defined. Nice to have Familiarity with A/B testing, multivariate testing, and other methodologies for evaluating performance. Experience with large datasets, BI tooling, or building data pipelines. Previous experience in user acquisition, performance