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Lead Analyst - American Football
Company | Electronic Arts (EA) |
Address | British Columbia, Canada |
Employment type | FULL_TIME |
Salary | |
Category | IT Services and IT Consulting,Software Development,Computer Games |
Expires | 2023-08-11 |
Posted at | 10 months ago |
We span four continents, bringing together diverse individuals passionate about their craft from across the globe. We partner in every development phase while improving our expertise to create even greater experiences for players. Creative & Development (C&D) participates in creating some of the most beloved games and supporting our ongoing live services.
- Translate our needs into productionalized data models to provide clean, accurate, performative data structures for use in dashboards and analysis, helping the analytics team access consolidated insights in an easy-to-access, repeatable way.
- Achieve consensus amongst business, engineering, and analytics teams to identify data requirements to support high-quality analysis.
- Maintain data documentation and definitions to socialize querying best practices across the analytics team.
- Apply software engineering best practices to analytics code (e.g. version control, testing, continuous integration) and assist the team in holding to these best practices.
- Receive questions from the business, understand the questions, determine the data needed to answer them and work with engineering teams to enable proper telemetry implementation.
- Report to the Director of Analytics for the Tiburon Studio
- BA/BS in Computer Science, Mathematics, Statistics, or related field, OR equivalent experience
- Excellent SQL skills, including building ETLs, writing optimized and performant queries against large data sets, and querying complex data; experience on a platform such as Snowflake or BigQuery
- Experience with data visualization; Tableau or Looker
- Experience with a scripting language (e.g. Python)
- 6+ years experience in technical data roles, demonstrating expertise in transforming, shaping, querying and using data to guide decisions.
- Experience in a consumer products-oriented industry; gaming, entertainment, or e-commerce
- Experience in data modeling, analytics engineering, writing ETLs
- Knowledge/interest with EA Sports’ franchises (e.g. FIFA, Madden)
- Experience in data modeling and structuring data to optimize retrieval performance
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