Data Analyst

Location
New York City
Workplace
On-site
Compensation
$140k – $240k

About this role

About the Company

General Intuition is the frontier lab for acting in space and time. We build large action models and world models that can perceive, predict, and act across virtual and physical environments. General Intuition builds on the strength of Medal, the world's largest and fastest-growing platform for gaming clips, where millions of gamers capture, share, and discover new games every year. We recently raised $320M at a $2.3B valuation led by Khosla Ventures with participation from General Catalyst, Eric Schmidt, and Jeff Bezos, to discover the next generation of real-world intelligence.

The Role

You'll be part of a lean, high-ownership data team at Medal, working directly with business and product leadership. You'll own how we learn about our users end-to-end: the company-wide testing roadmap, our analytics instrumentation, the data pipeline, and KPI reporting, plus the deep dives and thought-leadership publications that come out of it. You'll set your own roadmap, evangelize the data so everyone understands it better, and have real influence on what we build next.

Key Responsibilities

  • Drive and own the testing roadmap for all tests across our org by ensuring that tests are well considered and don’t conflict with each other

  • Plan & manage new tests

  • Manage our analytics instrumentation

  • Identify interesting opportunities in the analytics data

  • Communicate and evangelize against the data, make sure everyone has a better understanding

  • Drive a data-pipeline roadmap for improvements which will yield better insight into user behavior

  • Facilitate the collection and reporting of the company's key performance indicators

  • Participate in team planning and roadmapping by contributing your insights and expertise

  • As needed, be the data backbone for industry/brand thought-leadership publications, both co-written (e.g., with another data provider) and self-published

Qualifications

  • 3 to 5 years of experience managing and researching product analytics or a master’s degree in statistics or a related field

  • Experience in a CI/CD environment

  • Great communication and storytelling skills

  • Strong ability to manage their own roadmap

  • Experience with feature testing (A/B) and price testing (conjoint)

  • If you can do qualitative UX research, a bonus, but not required

Attitude / Culture

  • You are the kind of person who checks whether their AI analysis is correct

  • You are the kind of person who asks why until why is exhausted

  • A willingness to constantly be testing and learning

  • When you see something on the ground, you pick it up

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Top Benefits

  • Equity