Senior Data Analyst

Position Overview

Blizzard Entertainment is seeking a Senior Data Analyst to partner across departments on Warcraft Arclight Rumble.

Location: United States - Irvine, CA
Experience Required: 5 - 10 years
Schedule: Hybrid (on-site in Irvine, CA and work-from-home)

Blizzard Entertainment’s games don’t just begin with an idea and end once the game is released. So much more goes into their creation and we support our games for years after they’re in the hands of gamers world-wide. We pride ourselves on our ability to add value to our games and players through data analytics expertise, business acumen, and a genuine passion for Blizzard products and culture.

Key Responsibilities

• Provide best in class mobile analytics support, helping prepare and deliver the game to worldwide markets.
• Proactively explore multi-layer deep game data.
• Collaborate across departments to uncover business needs and provide data-based support.
• Tailor and deliver decisive data findings and presentations to an array of audiences.
• Create clear data visualizations, dashboards, and self-service data tools.
• Create telemetry message specifications from proposed features and changes to the game.
• Design and analyze experiments that maximize impact and learnings.
• Contribute to an inclusive atmosphere by supporting team members and fostering collaborative problem solving.

Required Qualifications

• 5+ years of work experience in Data Analytics, Data Science, or Product Management roles.
• 2+ years of work experience in the gaming industry.
• Proficient in SQL and efficiently navigating big data structures.
• Ability to clearly communicate technical insights to a non-technical audience.
• Experience providing end-to-end analytics support from problem identification to recommendations.
• Proficiency in creating clear data visualizations and dashboards, with a preference for Tableau.

Preferred Qualifications

• Experience in mobile or free-to-play games.
• Proven skills in experimentation design, execution, and analysis in a live operations environment.
• Ability to provide constructive guidance to peers.
• Familiarity with a statistical programming language such as Python or R.
• Bachelor's degree in mathematics, computer science, engineering, or business fields.