# Advanced Data Analyst - EA Sports FC Live

**Company**: Electronic Arts
**Location**: Vancouver, British Columbia
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Finance
**Industry**: Technology
**Ticker**: EA
**Wikidata**: https://www.wikidata.org/wiki/Q173941

**Apply**: https://jobs.ea.com/sv_SE/careers/JobDetail/Advanced-Analyst-EA-Sports-FC/214116?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_f2d93b17-f74

## Description

Electronic Arts is seeking an Advanced Data Analyst to join the FC Data & Analytics team, leading forecasting and performance modelling for FC's live service business. The successful candidate will report to a Senior Analytics Manager and provide data and insights around player behaviour and live content performance within the FC franchise.

Responsibilities:

- Own the forecasting framework that underpins performance measurement, planning, and strategic decision-making across FC's live service business.

- Employ an extensive toolkit of financial modelling techniques, time series analysis, and a deep knowledge of their use cases.

- Develop a robust model that projects live service funnel metrics to a high degree of fidelity, incorporating 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 latest live service performance impacts model's assumptions.

- Establish scalable forecasting processes that enable efficient and effective refinement of projections over time.

- Lead presentations to diverse audiences, including senior and executive level management, distilling complex model results into clear insights and recommendations.

- Run risk and opportunity scenarios based on live content plans, new feature additions, and other potential changes in the FC product.

- Mentor and collaborate with other analysts to develop forecasts and drive evolutions in modelling.

Requirements:

- A degree in a quantitative discipline (Analytics, Statistics, Mathematics, Economics, Finance, or similar).

- 7+ years of experience in a data-driven role performing quantitative analysis with big data.

- 4+ years of experience developing financial/product performance projections and forecasts using various modelling techniques.

- Strong experience in statistical and/or time series modelling for predictive purposes.

- Expertise in SQL and working with large-scale, complex datasets.

- Proficient in analyzing large datasets using programmatic tools (e.g., Python, R).

- Experience with data visualization software (e.g., Tableau, PowerBI).

- Strong capabilities in project management processes.

- Very comfortable presenting analysis in an executive-facing environment.

Benefits:

- Comprehensive benefits package, including health insurance, mental well-being support, retirement savings, paid time off, family leave, free games, and more.

## Skills

### Required
- quantitative analysis
- financial modelling
- time series analysis
- SQL
- Python
- R
- Tableau
- PowerBI
- project management

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Source: [Apply at jobs.ea.com](https://jobs.ea.com/sv_SE/careers/JobDetail/Advanced-Analyst-EA-Sports-FC/214116?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)