Blizzard Internship 2023 – Data Analyst In Irvine

Job Description:

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. Blizzard’s Global Insights organization is composed of teams of incredible engineers and talented analysts who work hand-in-hand with designers, commercial strategists, and business operations teams across the company.  We pride ourselves on our ability to add value to our games and players with a combination of data analytics expertise, business acumen, and genuinely geeking out on Blizzard products and culture!

Job Responsibilities:

• Partner with analysts and engineers to clearly report business-facing KPIs that measure the health and success of Activision Blizzard games used by millions of players worldwide.
• Comprehensively address both high-level and detailed strategic questions by clarifying the business requirements, developing hypotheses, and building an analytical structure to address the inquiry.
• Write effective queries against big data sources that return results accurately, maximize database efficiency, and are ready to scale for the future.
• Collaborate with Marketing, Finance, Game Business & Commercial Leadership, Product teams, and regional analytics partners to deliver business impact, effectively communicate findings to both technical and non-technical audiences.
• Leverage tools such as Tableau, Big Query, Airflow, & Git to deliver insights and provide visibility to key metrics across the business.

Job Requirements/Qualifications:

• Curious, internally-motivated self-starter with ability to plan, organize, and establish priorities to manage multiple projects and achieve results in a timely, scalable manner.
• Analytical orientation and strong problem-solving skills, demonstrated by the ability to understand core business needs and get to the root of the inquiry.
• Have the ability to structure a concise, clear presentation of findings, based on large sets of complex data, and effectively present this to any level in the organization with appropriate visualizations.
• Strong quantitative skills with a penchant for analytical query writing using SQL.