Senior Data Analyst at Discord
San Francisco, CA, US

What you'll be doing

  • Partner with our awesome Data, Product and Marketing teams to answer high-priority strategic questions. Here's a few examples:
    • Given all our crazy ideas, what should we build next? Which features will have the highest impact and help us accomplish our goals more quickly?
    • Deep dive on core product funnel usability and growth. Where can we improve the most?
    • Where should we spend our partnership and marketing efforts? What are the most promising opportunities (international, mobile, etc.) for growing our brand?
    • Define our user segments and identify areas where we can impact the business. Who are our most engaged users, and how can we acquire and retain more of them?
  • Define KPIs for the company and build automated dashboards, reports, and models to enable teams at Discord to make better decisions
  • Work with Product & Engineering to implement, validate, and monitor our logging and metrics
  • Find actionable strategic insights through funnels, cohort analyses, user segmentation, regression models and more
  • Run multivariate product experiments to help us drive growth, improve existing features, and identify new areas of opportunity


What you should have

  • BA/BS in Computer Science, Math, Economics, Statistics, or other quantitative fields
  • 4+ years work experience doing quantitative analysis (preferably in the tech industry) and proven track record of impacting business or product decisions
  • Pro-level ability to synthesize and communicate complex concepts and analyses in simple, easy-to-understand ways
  • A solid grasp of common statistical methods and applications (A/B testing, probability, regression) along with a healthy dose of skepticism
  • Fluency in SQL. Extensive experience pulling highly dimensional and complex data, as well as modeling scenarios and sensitivity analysis using Excel
  • Awesome attitude and a healthy dose of natural curiosity. Questions have to be answered and our data isn't just going to analyze itself. (We're working on that.)


Bonus Points

  • A love of gaming and familiarity with the games industry
  • Understanding of machine learning, data science and/or at least one statistics package (i.e. SciPy, Matlab, Stata, SAS).
  • Development experience using programming languages such as R, Python or Scala
  • Experience working with very large data sets and distributed computing (Hive/Hadoop)
  • Familiarity with technologies such as Airflow, AWS Redshift, and/or BigQuery to build and optimize production data pipelines