{"schemaVersion":"jobsearcher.job.v1","id":"4bb4beb7fedd8e3669bb61eb","url":"https://jobsearcher.com/jobs/4bb4beb7fedd8e3669bb61eb","canonicalUrl":"https://jobsearcher.com/jobs/4bb4beb7fedd8e3669bb61eb","title":"Data Analyst","description":"About the role\nGoody 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.\nThis 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!\nWhat you’ll do\nDesign and own business-critical metrics (definitions, edge cases, documentation)\nBuild clean, reusable SQL models (transformation layer) that become source-of-truth datasets\nPartner with stakeholders to turn ambiguous questions into clear analytical deliverables\nCreate self-serve datasets and lightweight reporting so teams can answer questions without bottlenecks\nImprove data reliability: sanity checks, reconciliations, and data quality monitoring (as available)\nContribute to analytics best practices (naming, documentation, metric governance)\nMust-have skills / experience\n5–6 years experience in analytics / data analysis / analytics engineering\nStrong SQL: can model data cleanly, handle edge cases, optimize queries, and explain logic\nComfortable defining metrics and pushing for clarity (“what decision are we making?”)\nStrong communication: can work with non-technical stakeholders and document clearly\nExperience with a cloud data warehouse (e.g. Snowflake, BigQuery, Redshift) and BI tools (eg. Tableau, Looker)\nNice-to-haves\nDBT (or similar transformation tooling) experience\nFamiliarity with experimentation, funnels, retention, attribution (helpful for Growth)\nBasic Python for analysis (not required)\nExperience with data quality tooling / monitoring\nCompany Benefits\n100% remote work\nGroup medical, dental, and vision coverage insurance (with opt-out benefits)\n401k\nStock options\nOpen PTO, with a company-wide summer break designed to counterbalance the demands of the year-end holiday season.\nPaid parental leave benefits\nAnnual company offsite – past locations include Cabo, San Diego, and Banff\n$100/month reimbursement for wellness\n$500 annual education stipend\nLots of Goodys!\nBenefits may vary based on employment status or country location.\n\nAbout Goody\nGoody 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.\nGoody 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.\nCompensation Range: $80K - $140K","company":"Goody","rawCompany":"goody","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-15T12:47:57.769Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Analyst","description":"About the role\nGoody 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.\nThis 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!\nWhat you’ll do\nDesign and own business-critical metrics (definitions, edge cases, documentation)\nBuild clean, reusable SQL models (transformation layer) that become source-of-truth datasets\nPartner with stakeholders to turn ambiguous questions into clear analytical deliverables\nCreate self-serve datasets and lightweight reporting so teams can answer questions without bottlenecks\nImprove data reliability: sanity checks, reconciliations, and data quality monitoring (as available)\nContribute to analytics best practices (naming, documentation, metric governance)\nMust-have skills / experience\n5–6 years experience in analytics / data analysis / analytics engineering\nStrong SQL: can model data cleanly, handle edge cases, optimize queries, and explain logic\nComfortable defining metrics and pushing for clarity (“what decision are we making?”)\nStrong communication: can work with non-technical stakeholders and document clearly\nExperience with a cloud data warehouse (e.g. Snowflake, BigQuery, Redshift) and BI tools (eg. Tableau, Looker)\nNice-to-haves\nDBT (or similar transformation tooling) experience\nFamiliarity with experimentation, funnels, retention, attribution (helpful for Growth)\nBasic Python for analysis (not required)\nExperience with data quality tooling / monitoring\nCompany Benefits\n100% remote work\nGroup medical, dental, and vision coverage insurance (with opt-out benefits)\n401k\nStock options\nOpen PTO, with a company-wide summer break designed to counterbalance the demands of the year-end holiday season.\nPaid parental leave benefits\nAnnual company offsite – past locations include Cabo, San Diego, and Banff\n$100/month reimbursement for wellness\n$500 annual education stipend\nLots of Goodys!\nBenefits may vary based on employment status or country location.\n\nAbout Goody\nGoody 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.\nGoody 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.\nCompensation Range: $80K - $140K","datePosted":"2026-08-15T12:47:57.769Z","dateModified":"2026-08-15T12:47:57.769Z","hiringOrganization":{"@type":"Organization","name":"Goody","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4bb4beb7fedd8e3669bb61eb"},"url":"https://jobsearcher.com/jobs/4bb4beb7fedd8e3669bb61eb"}}