Leonardo Dainez
Data Analyst @卡特彼勒
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WORK HISTORY
Data Analyst @卡特彼勒
Piracicaba, BR
As a Data Analyst, responsible for managing data quality in international maritime transportation, I serve as the key liaison between operations, logistics, and maritime carriers. My role focuses on overseeing the accuracy of container tracking information, ensuring timely updates on container statuses from arrival to departure. Utilizing SQL and various analytics tools, I investigate and resolve data discrepancies while coordinating with carriers to maintain operational efficiency.Responsibilities- Assess and monitor data quality to ensure accuracy and reliability across the organization- Identify and rectify data errors, establishing and enforcing high data quality standards- Collaborate with cross-functional teams to ensure data integrity and drive data governance initiatives- Generate comprehensive reports tracking key performance indicators, providing insights for informed decision-making- Implement automation for data quality checks, enhancing efficiency and consistency- Provide training and guidance on best practices for data management and quality assurance.Achievements- Developed and automated a dashboard to monitor data for over containers monthly, preventing bad and missing data, ensuring data integrity, and improving operational efficiency- Maintained EDI latency for ocean transportation event milestones at over 95% accuracy, significantly enhancing visibility and reliability in shipment tracking while ensuring seamless communication with global stakeholders- Designed and implemented a process to track shipments missing from the system, effectively reducing demurrage fees by providing real-time visibility and ensuring timely follow-up on delayed shipments.
EDUCATION
USP - Universidade de São Paulo
Master of Business Administration - MBA, Data Science and Analytics
ETEC - Escola Técnica Estadual de São Paulo
Industrial Automation Technician, Industrial Engineering
die Deutschule
Deutsch Intensivkurs, German Studies
Universidade Metodista de Piracicaba
International Business, International Business, Trade, and Tax Law
ABOUT LEONARDO DAINEZ
About Me Data Analyst with 5+ years of experience improving supply chain operations through analytics, automation, and process optimization. I specialize in translating logistics challenges into data-driven solutions using tools like Power BI, SQL, and Python. What I Do Best - Manage large-scale logistics flows (200+ truckloads/week)- Build automated dashboards for KPI tracking and reporting of over 10k containers/monthly - Analyze transport performance and cost efficiency - Support international operations across Europe, US and Latin America - Turn complex datasets into actionable insights Tools & Technologies - Power BI – Dashboards, KPIs, and visual storytelling - SQL – Data extraction, validation, and performance tracking - Python (Pandas, NumPy, Matplotlib) – Data automation & analysis - SAP (WM, SD) – Workflow management - TMS (BlueYonder) – Freight & route optimization - ETL – Data pipeline creation Languages Portuguese (Native) · English (Fluent) · Spanish (Advanced) · French (Advanced) · German (Intermediate) Education - MBA in Data Science & Analytics -Bachelor’s in International Business Let’s connect l••••••••@gmail.com | linkedin.com/in/leonardo-dainez
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