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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