Data Analyst

Contract: 12 Months+

The ideal candidate has experience working on a live service product, collaborating closely with the team to transform raw data into clear and actionable insights that drive the business. You will translate requests from the team into goal-oriented analyses, using SQL, Python, statistics, and modeling to generate useful information that you can communicate to a wide range of stakeholders. You’re independent, resourceful, and comfortable working through ambiguity quickly to iterate with the team and help steer our roadmap.

Responsibilities:

• Collaborate with the team to evaluate and monitor the player experience, defining KPIs and influencing the product roadmap.
• Study the impact of feature updates and A/B tests, recommending improvements to move key metrics.
• Design, build, and maintain telemetry, dashboards, reporting to monitor key health and performance metrics
• Communicate findings and recommendations clearly and concisely to stakeholders with varied levels of technical sophistication
• Plan, implement, and execute migration of data pipelines onto new infrastructure, ensuring no interruption of service or loss of data
• Write and maintain reliable, scalable, and efficient code.
• Evaluate and recommend new tools and implementations for data recording, analysis, and visualization.

Minimum Qualifications:

• 5+ years experience in complex SQL
• 5+ years of data analysis using Python or R
• Proven experience in modeling and statistics (distributions, hypothesis testing, regressions, etc).
• Proven experience in research and presentation to stakeholders
• Experience initiating and driving multiple projects to completion.
• Experience quickly iterating with the team to find and share performance results.
• Experience with Root Cause analysis and development of large systems via requirements gathering.
• Bachelors in a quantitative or engineering discipline, or equivalent experience

Preferred Qualifications:

• BS in Data Science, Economics, Statistics, Computer Engineering or equivalent experience.
• Machine Learning experience
• Passionate about games and VR

Must-Have Skills:

• SQL experience, FAST, python + ARR
• Graphical visual portrayal of data to stakeholders

Good-to-Have Skills:

• Steer specifics of request/questions regarding analytics, refine questions, bring insights on inquiries.
• Worked on games, performance metrics and analysts (free to play, live service games) Passionate in VR games