$202,500 – $274,000
Listed on Intuit’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
You'll architect and maintain Intuit's experimentation platform, enabling teams across the company to test and validate product ideas through data and rigorous analysis. This role suits someone with deep data engineering expertise who wants to drive high-impact decisions at scale across multiple product lines.
Our summary, not Intuit’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 7+ years in data analytics, business intelligence, engineering or related field
- Bachelor's degree in Statistics, Mathematics, Computer Science or related field
- Java or Python programming
- Data proficiency turning raw data into high-quality datasets
- Visualization tool expertise with complex dashboards in Tableau, Qlik, or PowerBI
- Proven track record developing and managing complex analytics data marts and pipelines
- Big data tools and frameworks experience such as Apache Spark, Hadoop, or Databricks
- Data modeling, data warehousing, and ETL pipeline experience
- Ability to manage multiple projects simultaneously
- Outstanding communication skills with technical and non-technical audiences
Nice to have
- Advanced analytics techniques such as Python, ML models, LLM experience
- Creating analytical frameworks for complex business problems