Listed on TPG Inc.’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
TPG's Analytics Engineering team is building data solutions that span ingestion through delivery, with a focus on modern tools and AI-enabled workflows. This role suits someone who has guided data projects end-to-end and wants to grow their technical depth across Databricks, Power BI, and Python while working on financial data problems.
Our summary, not TPG Inc.’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 3–4 years of experience in data analytics, BI development, or data engineering
- Bachelor's degree in Computer Science, Business Administration, or a related field
- Proficiency with SQL Server, Power BI, Excel, and AI/BI tools
- Data modeling experience (dimensional modeling or semantic layers)
- Hands-on ETL/ELT development with SQL, APIs, SaaS platforms, and Data Lake Storage
- Strong analytical mindset and independent problem-solving
- Ability to communicate technical concepts to non-technical stakeholders
Nice to have
- Experience with PySpark, Delta Lake, and Medallion architecture
- Experience transitioning teams to AI-enabled, modernized operations
- Databricks platform expertise
- Exposure to financial services data systems (Investran, Workday, Geneva, GTreasury)
- Experience with audit-ready or compliance-sensitive reporting environments