Overview
join our team as a business analyst – logistics!
we are seeking a highly analytical and driven professional to support logistics operations across mexico and latin america. If you are passionate about data, dashboards, and continuous improvement, this is a great opportunity to make an impact in a dynamic environment.
location: angelópolis, puebla (hybrid)
job type: full-time
about the role
the business analyst will play a key role in enhancing logistics operations through data analysis, reporting, and dashboard development. This position focuses on improving data visibility, quality, and accuracy to support decision-making and process optimization across the organization.
responsibilities
* create reports and extract data for analysis and business insights
* analyze logistics data to support operational and strategic decisions
* develop and maintain dashboards to improve real-time visibility
* collaborate on data-driven projects with cross-functional teams
* maintain and enhance existing data analysis tools
* ensure data accuracy, consistency, and quality
* monitor and troubleshoot system-related issues
* manage processes related to inventory (blocked stock, discrepancies, delayed receipts)
* administer user access to internal systems
* support the development and monitoring of new processes
* perform operational tasks as required
* contribute to the implementation of ai initiatives in logistics processes
required qualifications
* bachelor’s degree in a related field
* advanced english proficiency (c1 or higher) – mandatory
* advanced excel skills
* strong experience with power bi (dashboards, dax, data modeling, visualizations)
* experience in data analysis and reporting
* basic knowledge of databases (sql is a plus)
* analytical mindset with strong problem-solving abilities
key competencies
* high attention to detail and data accuracy
* strong communication and collaboration skills
* results-oriented with a focus on continuous improvement
* ability to quickly learn new systems and tools
preferred qualifications
* experience in logistics or operations (warehouse, transportation, quality, process improvement)
* exposure to supply chain processes
* interest or experience in ai applications within business or logistics environments
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