Data Analyst

  • 100% Remote
  • Remote
  • 07 Dec, 2021

Job Summary

In this role, you’ll:

  • Work within a product team but interface with a variety of teams in dozens of countries. You may rotate to other product teams over time.
  • Research into problems or processes that require data-driven improvements.
  • Navigate large sets of data and derive meaning to deliver insights to stakeholders.
  • Support or manage projects implementing data-focused tools.

Key Details

  • You can work remotely from anywhere (between UTC -5 and +4).
  • Every four months, our remote team meets in Africa for a one-week retreat. (Wave covers all costs.)
  • Our salaries are competitive and are calculated using a transparent formula. For this role, depending on your level and location, we offer a salary of 78,200-97,750 USD, plus equity targeted to be worth 2-4x your salary.
  • Major benefits:
    • Subsidized health insurance for you and your dependents and retirement contributions (both vary from country-to-country).
    • 6 months fully paid parental leave and subsidized fertility assistance.
    • Unlimited vacation with a 20-day minimum requirement.
    • $10,000 annual charitable donation matching.

Requirements

  • Fluent in English
  • 3+ years in a similar position
  • Advanced knowledge of SQL
  • Experience with data visualization platforms (e.g., Tableau, PowerBI, Looker, etc.)
  • Strong analytical thinking and experience extracting insights using a statistical approach
  • Bachelor’s degree

You might be a good fit if you

  • Are excellent at manipulating and analyzing data, and able to work with advanced SQL patterns.
  • Can navigate new data domains quickly, understanding the underlying business problems.
  • Can apply appropriate statistical models, including predictive models.
  • Have excellent focus, prioritizing your research and work using an iterative approach.
  • Create data visualizations and dashboards that aid discovery, using a variety of platforms.
  • Are able to compellingly present your findings and make proactive recommendations based on data.
  • Are excited about working in a culturally diverse environment, helping teams across the organization to make the best use of data.

 

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