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IT / IT SYSTEMS 2025-120206 2764 Nuevo León, Mexico Permanent More than 3 years

To ease reading, the plural masculine form may be used on this page; our vacancies are however directed to persons of all genders

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Senior BI (Business Intelligence) Specialist F/M

11/12/2025

OMA operates 13 international airports in northern and central Mexico: Monterrey, Mexico’s 2nd largest business and industrial metropolis; the tourist destinations Acapulco, Mazatlán, and Zihuatanejo; the regional centers Chihuahua, Culiacán, Durango, San Luís Potosí, Tampico, Torreón and Zacatecas; and the border cities Ciudad Juárez and Reynosa.

We are looking for a Senior Business Intelligence (BI) Specialist (F/M) responsible for analyzing, transforming, and utilizing information to generate actionable proposals that support strategic decision-making. This role involves leading digital transformation, managing the data ecosystem, developing executive dashboards in Power BI, automating processes in Python, and collaborating with various departments, with a special focus on the needs of our Commercial areas.

In this position, the main responsibilities will be :

Data Analysis and Transformation

• Collect, clean, and transform data from various internal and external sources.

• Identify patterns, trends, and improvement opportunities through statistical analysis and data

mining techniques.

• Validate the quality and consistency of data integrated into the corporate Data Lake.

• Ensure the flow of information to various analysis platforms.

BI Solution Development

• Design and implement business intelligence solutions using Power BI (and other BI tools if

necessary).

• Create efficient dimensional data models for operational and strategic analysis.

• Automate processes and transformations using Python.

Report, Dashboard, and Visualization Creation

• Design and develop interactive reports and dashboards to facilitate decision-making.

• Ensure reports are intuitive, visually appealing, and aligned with business needs.

• Optimize the structure and performance of existing dashboards.

• Project management for digitalization of various executive and operational reports.

Cross-Functional Collaboration

• Work closely with Commercial, Finance, Operations, and IT teams to translate needs into BI

solutions.

• Collaborate with analysts, data engineers, and developers on BI and automation projects.

• Train key users on developed reports and tools.

• Act as the primary liaison on data-related topics for international corporate headquarters

team.

Continuous Optimization and Data Ecosystem Support

• Operate and provide support for the implemented corporate Data Lake.

• Monitor data loads, validate information, and follow up on incidents.

• Improve pipelines, SQL queries, and data models.

• Contribute to data governance initiatives, documentation, cataloging, and KPI standardization.


  • Bachelor’s degree in engineering, Systems, Data Science, Business, or related fields.
  • Specialization or certification in Data Science or Big Data.
    2 to 5 years of experience in Business Intelligence (BI) or data analysis.
  • Advanced proficiency in Power BI (DAX, modeling, Power Query).
  • Proficiency in Microsoft Office (Excel, PowerPoint, Word).
    Intermediate experience in Python (pandas, automation, scripts).
  • Intermediate-advanced SQL skills.
  • Knowledge of ETL processes, data quality, and dimensional modeling.
  • Experience with JIRA or other project management tools.
  • Experience with Data Lakes or Data Warehouses (BigQuery preferred).
  • Fluent in English (spoken and written).
  • Experience in the consumer industry, such as retail and restaurants (preferred).
  • Curiosity to explore data and solve challenges within the Commercial Management area.

Entity

As the world's leading private airport operator, VINCI Airports manages more than 70 airports in 14 countries. With its expertise as a global integrator, VINCI Airports develops, finances, builds and operates airports, providing its investment capacity and know-how in optimising operational performance, modernising infrastructure and managing their environmental transition.

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