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Data Analyst with 3+ years in Power BI, SQL, and Python for data-driven decisions.
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Assessing your cultural and operational fit
Data Analyst with nearly 3 years of experience at a multinational manufacturing company. I work with Power BI, SQL, and Python to build dashboards, automate reports, and support operational decisions. I have hands-on practice with Power Query (M), DAX, dimensional modeling concepts, and SharePoint/Office 365 data governance. Background in Chemical Engineering, with a final thesis in computational predictive modeling using Python and statistical methods. Eager to learn cloud data platforms (Azure Databricks, Microsoft Fabric), SAP Analytics Cloud, and AI tools for analytics.
Federal University of Bahia (UFBA)
B.Sc. · Chemical Engineering
August 1, 2018 – June 30, 2026
Continental Tires
Data Analyst (Process Controller | Data-Driven Operations)
August 1, 2024 – Present
Camaçari, Bahia, Brazil
Brazilian National Petroleum Agency (ANP) / UFBA
Research Fellow | ANP-PRH Program
December 1, 2023 – July 1, 2024
Salvador, Bahia, Brazil
Continental Tires
Process Engineering Intern (Data-Driven Operations)
November 1, 2022 – August 1, 2024
Camaçari, Bahia, Brazil
Cultural Fit Analysis
The candidate's experience at a multinational company (Continental Tires) and a federal research program (ANP) suggests adaptability to different organizational cultures. Their eagerness to learn cloud data platforms (Azure Databricks, Microsoft Fabric, SAP Analytics Cloud) and AI tools indicates a proactive and growth-oriented mindset, which aligns well with dynamic and innovative environments. The breadth of skills across BI, databases, programming, and methodologies shows a versatile individual. The current role as a Data Analyst aligns directly with the target role, indicating a clear career path and commitment.
Soft Skills & Operational Fit
The candidate demonstrates a strong operational fit through their experience in process engineering and data-driven operations at Continental Tires. Their work on continuous improvement projects, waste reduction, and KPI analysis highlights a results-oriented approach. The application of Lean Six Sigma tools and root cause analysis indicates a methodical approach to problem-solving and a focus on efficiency. The ability to work full-time alongside studies since 2022 suggests strong time management and dedication.