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Strattner

Senior BI Analyst

Strattner

Senior BI Analyst at Strattner leading data projects and initiatives for healthcare innovation. Focusing on data architecture and analytics using Power BI, SQL, and Python.

Posted 7/10/2026full-timePalhoça • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading technical projects, data architecture design, and data governance while driving initiatives in Data Science, Machine Learning, and AI automation. Proficient in building and optimizing data pipelines using Microsoft Fabric and Data Lake, with a strong focus on data quality and security standards.

Highest-signal resume keywords
Data Architecture DesignMicrosoft Fabric and Data LakePower BI/DAX and SQLData Science and Machine Learning LeadershipIntegration Architecture (SAP, Zendesk)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringBusiness Intelligence (BI)Machine LearningAI AutomationPower QueryPySparkMedallion PipelineCode ReviewAgile MethodologiesData Quality Standards
Tools & Technologies
Microsoft FabricData LakePower BISAPZendeskOpenWebUIClaude CodeCodexN8nKestra
Industry Keywords
Data GovernanceData SecurityTechnical LeadershipAnalytical ProjectsDimensional Model

Tech Stack

Tools & technologies
CloudPySparkPythonSQL

About the role

Key responsibilities & impact
  • Lead technical projects end-to-end
  • Own systems and data domains
  • Design and evolve data architecture and the corporate dimensional model
  • Build and optimize Microsoft Fabric and Data Lake pipelines
  • Lead Data Science, Machine Learning, and AI/automation initiatives
  • Define and advocate data quality, governance, and security standards
  • Conduct code reviews and technical planning
  • Act as the architect for integrations (SAP, Zendesk)

Requirements

What you’ll need
  • Bachelor’s degree in Engineering, Information Technology, Computer Science, or related fields (postgraduate/MBA is a plus)
  • Proven experience in data solutions, data engineering, BI, data science, or AI, having led multiple analytical projects
  • Advanced proficiency in Power BI/DAX, SQL, and Power Query (M)
  • Proficiency in PySpark and the complete Medallion pipeline (Bronze, Silver, Gold) in Microsoft Fabric and Data Lake (on-premises and cloud)
  • Design and evolution of data architecture and the corporate dimensional model
  • Technical leadership of Data Science and Machine Learning projects (Python)
  • Experience developing complex AI and automation solutions is desirable (OpenWebUI, Claude Code, Codex, n8n, Kestra)
  • Definition of data quality, governance, and security standards
  • Integration architecture (SAP, Zendesk) and delivered applications (Supabase, Vercel, Railway, Render)
  • Conduct code reviews and technical planning sessions
  • Proficiency with agile methodologies
  • Intermediate/advanced English is desirable

Benefits

Comp & perks
  • Diversity
  • Health plans
  • Educational benefits
  • Growth opportunities
  • Hybrid work