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Tech Stack
Tools & technologiesETLPythonSQL
About the role
Key responsibilities & impact- Hands-on experience defining strategic KPIs and executive-level analytics.
- Strong experience in data-applied AI, including: development of AI agents or analytics solutions based on LLMs, integrating AI with structured databases, and using AI for insight generation, automation, and decision support.
- Advanced, proven experience with Power BI, dimensional modeling, and semantic modeling.
- Advanced DAX (optimization and complex calculations), Power Query, and strong expertise in Data Analytics, BI, and data architecture.
- Solid experience with advanced SQL and large-volume datasets.
- Experience with ETL/ELT processes and data pipelines.
Requirements
What you’ll need- Experience with modern data architectures (Data Lake, Lakehouse, Data Warehouse).
- Programming in Python for advanced analytics, automation, or AI.
- Experience orchestrating AI agents and working with emerging frameworks.
- Background working in high-complexity environments and digital transformation.
- Experience with data governance, security, and data quality at scale.
- Prior experience as a technical reference or informal team lead.
Benefits
Comp & perks- Meal allowance and/or food vouchers.
- Health and dental insurance.
- Life insurance.
- Partnerships with TotalPass and ZenKlub.
- Extended maternity and paternity leave.
- Childcare assistance.
- Up to 50% discounts on postgraduate and MBA programs at major institutions such as FIA, FAAP, and PUCRS.
- No dress code: wear what makes you feel comfortable.
- #TáDeParabéns: Day off on your birthday.
- Baby Gift: a present for newborns.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data-applied AIAI agentsanalytics solutionsLLMsPower BIDAXPower QuerySQLETLdata architecture
Soft Skills
strategic KPI definitionexecutive-level analyticsteam leadershipdigital transformation
