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Description & Requirements
Advanced Data Analyst - FC Live Service Forecasting
Our FC Data & Analytics team is looking for an Advanced Analyst to support our Live Service Analytics group. Reporting to the Analytics Manager, you will be part of a growing team focused on providing data and insights around player behaviour and live content performance within the FC franchise. We're looking for someone with a passion for using historical data to project future performance, and an expertise in combining the science of predictive modelling with the art of incorporating business & financial factors into their projections.
What you'll do on our team:
● Own part of our FC Live Service Forecast that forms the foundation of how we measure the performance of our product.
● Employ an extensive toolkit of financial modelling techniques, time series analysis, and a deep knowledge of their use cases to determine the best possible solution to a wide range of business problems.
● Develop a rigorous and robust model that projects our live service’s funnel metrics to a high degree of fidelity, taking into account player behaviour, in-game content, and macroeconomic trends.
● Collaborate 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.
● Run risk and opportunity scenarios based on live content plans, new feature additions, and other potential changes in the FC product.
● Lead presentations to diverse audiences including senior and executive level management.
What we're looking for:
● A degree in a quantitative discipline (Analytics, Statistics, Mathematics, Econometrics, Finance, or similar).
● 7+ years of experience in a data-driven role performing quantitative analysis with big data to help guide decisions
● 4+ years of experience developing financial/product performance projections and forecasts using varying modelling techniques.
● Experience in statistical and/or time series modeling for predictive purposes
● Expertise in SQL and ability to extract data from large data sources with differing structures
● Proficient in analyzing large datasets using programmatic tools (e.g. Python, R)
● Deep experience with data visualization software (e.g. Tableau, PowerBI, Looker)
● Comfortable presenting analysis results in an executive facing environment
COMPENSATION AND BENEFITS
The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).
PAY RANGES
In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.