Looking for a job

Vitor Galvão Lopes

@vitorgalvolopes

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Data analyst and analytics engineer delivering impactful, trustworthy data solutions.

Brazil

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What I'm looking for

I’m looking for a data role where I can own data pipelines end-to-end, partner with stakeholders, and turn business problems into trustworthy analytics and dashboards—delivering measurable outcomes with strong collaboration and iteration.

I’m a data analyst with over 4 years of experience driving real world data projects and optimizing data pipelines for consulting and data products. I focus on leading data strategies that turn complex business problems into comprehensive, measurable solutions that improve data usability and business impact.

In my current role, I migrated and normalized critical prescription data, and built a hospital catalog database using fuzzy matching and genAI—improving traceability and doubling the deal rate Q4/2025. I also developed datalake and data visualization tools for hospitals and EMR providers, plus delivered ad-hoc analyses that supported decisions tied to key OKRs.

Previously, I automated data pipelines with custom Python business rules, cutting consulting project delivery time by 40%–60%, while managing multiple project lifecycles through close stakeholder engagement. I’ve also contributed to research as a Scientific Research Fellow, publishing three international articles with two as lead author, which strengthened my analytical rigor and structured problem-solving approach.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

Mevo

Feb 2025 - Present (1 year 4 months)

Migrated and normalized Mevo’s large digital prescription database, improving organization of drug names and codes. Built a hospital catalog using fuzzy matching and genAI and supported GTM/CRM outcomes, doubling the deal rate in Q4/2025.

Data Migration Data Pipelines Data Validation Fuzzy Matching GenAI AWS RedShift Amazon Athena MongoDB Data Visualization Power BI

Data Analyst / Analytics Engineer

Semantix

Apr 2023 - Feb 2025 (1 year 10 months)

Automated data pipelines with Python business-rule functions, delivering 40%–60% time savings across consulting project delivery. Managed a >1 TB data warehouse with Python/SQL abstractions and led +8 consulting projects/pipelines aligned to customer OKRs.

Python Pandas SQL Data Pipelines Data Modeling BigQuery DBT Stakeholder Management Matplotlib Data Warehousing

Data Analyst

ATSaude

Aug 2022 - Mar 2023 (7 months)

Orchestrated +5 data projects in record time and contributed to achieving gross margin above 60%. Built reporting automations with Quarto and Jupyter Notebook, improving operational efficiency.

Python Pandas Jupyter Notebooks Data Validation Report Automation Quarto Excel Operational Efficiency

Research Fellow

FAPESP

Jun 2020 - Jul 2022 (2 years 1 month)

Used Python and Bash to conduct research that produced three international articles, with two as lead author. Applied descriptive statistics and principal component analysis to health-domain studies and supported scientific writing and paper discussions.