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# Data Analyst

- **Company:** Goody's
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Sql Data Warehouse, Data Analysis, BigQuery, Information Engineering, Data Files, Data Integrity, Python (Programming Language), Standard Sql, SQL Databases, Tableau (Software), Snowflake, Looker Analytics, Amazon Redshift
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-analyst--0f1d64b2-f413-479c-81ad-c8b318e0729d

## About the Role

Data Analysis, Data Analysis, Metrics, Data Modeling, Finance, Strategic Analysis, Team Player, High Tech Industry, Analysis Skills, Data Sets, * 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

## Description

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)