Description
Our FC Data & Analytics team is looking for an Advanced Analyst to join our group, leading forecasting and performance modelling for FC's live service business. Reporting to a Senior Analytics Manager, you will be part of a growing team providing data and insights around player behaviour and live content performance within the FC franchise.
As an Advanced Data Analyst, you will own the forecasting framework that underpins performance measurement, planning, and strategic decision-making across FC's live service business. You will employ an extensive toolkit of financial modelling techniques, time series analysis, and a deep knowledge of their use cases.
Key responsibilities include:
- Developing a robust model that projects our live service funnel metrics to a high degree of fidelity, incorporating player behaviour, in-game content, and macroeconomic trends.
- Collaborating with partners across Product Management, Finance, and Commercial teams to align on projections, and keep the business updated on how our latest live service performance impacts our model's assumptions.
- Establishing scalable forecasting processes that enable us to work with our cross-functional partners to efficiently & effectively refine our projections over time.
- Leading presentations to diverse audiences including senior and executive level management, distilling complex model results into clear insights & recommendations.
- Running risk and opportunity scenarios based on live content plans, new feature additions, and other potential changes in the FC product.
- Mentoring and collaborating with other analysts in order to collaboratively develop our forecasts, working together to drive evolutions in our modelling in this space.
We're looking for a degree in a quantitative discipline (Analytics, Statistics, Mathematics, Economics, Finance, or similar) with 7+ years of experience in a data-driven role performing quantitative analysis with big data to help guide decisions. You should have 4+ years of experience developing financial/product performance projections and forecasts using various modelling techniques, as well as strong experience in statistical and/or time series modelling for predictive purposes.