# Data Analyst at Goody > Remote · Americas · Unspecified · Analytics / Data science · open. Source: https://alderhq.app/jobs/ashby%3Agoody%3Adf70c3ea-1233-463c-8a7f-70e4ebe3342d (read 2026-11-05). ## Facts (observed) - Company: [Goody](https://alderhq.app/companies/goody) - Location text: USA; Brazil; Canada - Where it can be done from (inferred): Remote · Americas (evidence: "Location: USA; Brazil; Canada") - Posted: 2026-01-28 (282 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/goody/df70c3ea-1233-463c-8a7f-70e4ebe3342d - Skills listed (inferred): Python, Snowflake, dbt, SQL ## Pay and sponsorship - Posted pay: $80k–$140k per year (from the listing's pay field) - Market band for similar posted roles (United States, n 262): p25 $105k, median $135k, p75 $187k ## Description (the employer's text) ### About the role Goody 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 Goody'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 Goody Goody 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. Goody 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 Goody as the fastest-growing gifting company in the United States, reflecting our momentum and focus on building exceptional experiences for customers and teammates alike. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Agoody%3Adf70c3ea-1233-463c-8a7f-70e4ebe3342d and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.