Hybrid Logistics Data Analyst — Insights & Strategy

Michael Page; Xico; Hybrid; MXN 420,000 - 680,000; Full time

Benefits offered by this job

Hybrid work model

Competitive compensation package

Professional development

Global exposure

Job summary

Michael Page is seeking a data analytics specialist to analyze large transportation and logistics datasets across regions. You will build dashboards with Tableau, Power BI and Excel to translate data into actionable insights for operations and strategic decision-making.

The role requires 3–6 years in Data Analytics or Logistics, advanced Excel, Python for data manipulation, and English communication, with a hybrid work model.

Qualifications

• 3-6 years of experience in Data Analytics, Supply Chain or Logistics.
• Advanced Excel skills, including Pivot Tables, complex formulas and large datasets.
• Hands-on experience with Tableau.
• Experience with Power BI and dashboard development.
• Python for data analysis and data manipulation.
• Advanced English communication skills.
• Experience working with logistics, transportation, warehousing or supply chain data.
• Strong analytical mindset and ability to generate actionable insights.

Responsibilities

• Analyze large transportation and logistics datasets from multiple regions.
• Develop dashboards and reporting tools using Tableau, Power BI and Excel.
• Identify trends, risks and opportunities through historical data analysis.
• Generate insights that support operational and strategic decision-making.
• Maintain and optimize sourcing and logistics data tools.
• Support transportation and warehousing performance analysis.
• Collaborate with cross-functional stakeholders across global markets.
• Drive continuous improvement through data-driven recommendations.

Skills

Advanced Excel

Tableau

Dashboard development

Power BI

Python

English communication

Logistics data

Data analysis

Cross‑functional collaboration

Tools

SQL

Job description

Michael Page is seeking a data analytics specialist to analyze large transportation and logistics datasets across regions. You will build dashboards with Tableau, Power BI and Excel to translate data into actionable insights for operations and strategic decision-making.

The role requires 3–6 years in Data Analytics or Logistics, advanced Excel, Python for data manipulation, and English communication, with a hybrid work model.