We’re YNAB (“why-nab”), a product company with a mission: to help people get good at money so they never worry about money again. For over 20 years, YNAB has been changing lives—and people can’t stop telling their friends about it. Think: debt paid off, marriages strengthened, goals achieved, stress erased, and sleep finally restored. But don’t just take our word for it—dive into our vibrant communities on Facebook, TikTok, and Reddit (really!) or skim through our glowing appreviews. You’ll quickly see why people rave about YNAB and why we’re so passionate about creating something that truly changes lives for the better.
Humbly Confident Data Analyst
About Us and Why We’re Hiring
We’re YNAB (“why-nab”), a product company with a mission: to help people get good at money so they never worry about money again. For over 20 years, YNAB has been changing lives—and people can’t stop telling their friends about it. Think: debt paid off, marriages strengthened, goals achieved, stress erased, and sleep finally restored. But don’t just take our word for it—dive into our vibrant communities on Facebook, TikTok, and Reddit (really!) or skim through our glowing appreviews. You’ll quickly see why people rave about YNAB and why we’re so passionate about creating something that truly changes lives for the better.
Join us! We’re looking for a Data Analyst to join our tiny but mighty team of two. Our “data friends”, as they are so fondly called, help people in every department at YNAB make decisions more confidently. They advocate for the quantitative perspective and ensure that strategic conversations balance measurable impact with domain expertise.
This is a hands-on role that covers the full spectrum of data work, from technical to strategic. You won’t just explain what happened; you’ll transform data into clear, opinionated recommendations and help shape what we do next. You’ll also be a true multiplier, building systems that allow others at YNAB to self-serve with confidence. If this resonates with you, you’re our target audience—please read on.
Requirements:
For this role, you must:
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- Live in the United States, and be authorized to work here without sponsorship.
- Have at least 3 years of experience working in the data field in a product-driven environment.
- Have experience with some Modern Data Stack tools (e.g. Snowflake/Databricks/BigQuery, dbt, Fivetran/Airbyte, Amplitude/Mixpanel, Metabase/Looker/Tableau).
- Have experience writing and maintaining SQL in a production environment (e.g., dbt models, shared queries, dashboards).
- Be confident in and passionate about using AI to do your job better, while knowing what is worth not outsourcing.
Qualifications:
These aren’t required, but are likely to set you up for success:
- Experience at a small-to-mid size company, where you wore multiple hats and worked without a dedicated data engineering team beneath you.
- Experience working across multiple stakeholder groups.
- B2C subscription/SaaS experience.
- Experience designing and analyzing A/B tests.
Note: If you believe you’re a fit for this role, but don’t meet our preferred qualifications, we still encourage you to apply. While our hard
Method Of Application
Qualified and interested applicant should click the APPLY HERE LINK below to start filling out the application form and submit it before the deadline.
APPLY HERE
Deadline: Not Disclosed
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