Data Analyst- job post Goody

Full job description
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)