Open to opportunities

Karoline Louize

@karolinelouize

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Data analyst and engineer driving actionable, user-centered insights.

Brazil

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What I'm looking for

I seek roles that combine data analysis and engineering with user-centered BI, cross-functional collaboration, and opportunities to improve operational outcomes.

I am a Data Analyst & Engineer with 4+ years of experience turning complex datasets into actionable business insights, blending analytical rigor with user-centric design. I have a background in Mechanical Engineering and hands-on experience in operations and supply chain, where I improved distribution processes and inventory performance.

At Metaloop I increased BI tool adoption, reduced debugging time by collaborating with data engineering on dbt models, and improved stock accuracy. I hold an MBA in Data Science and Analytics from the University of São Paulo and have published data work and presented at industry events.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

Metaloop

Aug 2023 - Present (2 years 4 months)

Improved BI adoption from 4 to 32 active users and reduced dbt debugging time by 30% through data model optimization; resolved 69% of negative stock issues by aligning systems and stakeholders to improve data accuracy.

Power BI Looker DBT Python Data Modeling ETL UX For Analytics Stakeholder Management

Urban Distribution Coordinator

AB Inbev

Jun 2022 - Feb 2023 (8 months)

Reduced insufficient-time returns from 5% to 3% and closed-store returns from 10% to 4% by redesigning regional distribution strategies and delivery routes; led rollout of a new distribution system while maintaining top-5 adherence.

Route Planning Data Analysis Logistics Performance Monitoring Process Improvement

Warehouse Coordinator

AB Inbev

Oct 2021 - Jun 2022 (8 months)

Contributed to highest Marketplace revenue by optimizing inventory and designed a new picking layout that cut average order preparation time by 2 minutes; received Excellence recognition in DPO audit.

Inventory Management Process Design Data Collection Performance Improvement Warehouse operations Quality Assurance

Education

Degrees, certifications, and relevant coursework

University of São Paulo - ESALQ

Master of Business Administration, Data Science and Analytics

2022 - 2024

Grade: 5/5

Activities and societies: MBA final thesis: “Exploring the correlation between sanitation and academic performance in Brazil: a clustering analysis”; recognized as one of the best final projects of the semester.

Completed an MBA in Data Science and Analytics with a final project recognized among the best of the semester analyzing sanitation and academic performance using clustering techniques.