Data Analyst
Remote
How you’ll help us achieve it
We’re looking for a data analyst who’s both a SQL expert and a researcher; a self-starter that excels at exploring problems and producing analytical content. You’ll be embedded with product teams: deriving insights from customer data, visualizing data and then working with product managers, engineers and product ops to improve user and business outcomes. You’ll own every step of the research process—from gathering requirements, to shipping your solution for users or stakeholders, to sharing your findings with others.
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.