Data Analyst
Company shown to members 🔒 · Remote · US, Canada, Brazil only
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First recorded by Psst: 12 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
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The 20-second read
- Experience
- 5+ years required
- Where you can live
- US, Canada, Brazil only
- Skills and tools
- sql, python, tableau, looker, data analysis, retention
- Job type
- Full-time
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Job details
- Where you can work
- United States, Canada, Brazil
- Employment type
- Full-time
- Advertised pay
- $80K–140K/yr
- Experience
- 5+ years required
- Employer publication date
- 28 January 2026
- First recorded by Psst
- 12 October 2026
- Last checked at the source
- 10 November 2026
About the job
ABOUT THE ROLE
The company is seeking an experienced, strategic Data Analyst to join our team. Reporting to the Data Engineering Lead and partnering closely with business stakeholders across the company, you will build trusted, reusable data models and metrics that power decision-making on the company's teams (including Growth, Finance, Product, and more). You'll also use the models you build to derive valuable insights.
This is a great role for a collaborative analyst who wants exposure to every department at a fast-growing software company. You'll be building a strong data foundation—and using that foundation to deliver important, actionable knowledge to business stakeholders. If that sounds like you, we'd love to chat!
WHAT YOU’LL DO
- Design and own business-critical metrics (definitions, edge cases, documentation)
- Build clean, reusable SQL models (transformation layer) that become source-of-truth datasets
- Partner with stakeholders to turn ambiguous questions into clear analytical deliverables
- Create self-serve datasets and lightweight reporting so teams can answer questions without bottlenecks
- Improve data reliability: sanity checks, reconciliations, and data quality monitoring (as available)
- Contribute to analytics best practices (naming, documentation, metric governance)
MUST-HAVE SKILLS / EXPERIENCE
- 5–6 years experience in analytics / data analysis / analytics engineering
- Strong SQL: can model data cleanly, handle edge cases, optimize queries, and explain logic
- Comfortable defining metrics and pushing for clarity (“what decision are we making?”)
- Strong communication: can work with non-technical stakeholders and document clearly
- Experience with a cloud data warehouse (e.g. Snowflake, BigQuery, Redshift) and BI tools (eg. Tableau, Looker)
NICE-TO-HAVES
- DBT (or similar transformation tooling) experience
- Familiarity with experimentation, funnels, retention, attribution (helpful for Growth)
- Basic Python for analysis (not required)
- Experience with data quality tooling / monitoring
COMPANY BENEFITS
- 100% remote work
- Group medical, dental, and vision coverage insurance (with opt-out benefits)
- 401k
- Stock options
- Open PTO, with a company-wide summer break designed to counterbalance the demands of the year-end holiday season.
- Paid parental leave benefits
- Annual company offsite – past locations include Cabo, San Diego, and Banff
- $100/month reimbursement for wellness
- $500 annual education stipend
- Lots of Goodys!
Benefits may vary based on employment status or country location.
ABOUT the company
The company is a modern gifting platform built to help companies create meaningful connections at scale. We power thoughtful, on-brand gifting experiences for leading teams, making it easy to send the right gift to the right person at the right moment without the logistics headaches.
The company was founded in 2020 and is backed by leading investors like NEA, SoftBank, and Quiet Capital. We are a fully remote, product-driven team trusted by 64 percent of the Fortune 100. In 2025, Inc. ranked the company as the fastest-growing gifting company in the United States, reflecting our momentum and focus on building exceptional experiences for customers and teammates alike.
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