Data Analyst - Water Infrastructure
Empresa : Jobgether Tipo de empleo : Jornada completa Remote / Work from Home JobCopilot will tailor your resume and auto-fill the application
Descripción del trabajo - Data Analyst - Water Infrastructure
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Analyst - Water Infrastructure based in Mexico.
This role focuses on transforming complex infrastructure data into actionable insights that support smarter utility decisions. You will design and develop advanced business intelligence solutions using Power BI, GIS, cloud technologies, and data analytics tools. The position combines data visualization, geospatial analysis, and technical problem-solving to improve operational visibility. You will work with large datasets, including time-series, asset, and infrastructure information, to create scalable reporting solutions. The role offers the opportunity to contribute to projects with meaningful real-world impact in the utilities and infrastructure space.



You will collaborate with technical and business teams to turn complex data into intuitive dashboards and decision-support tools. This is an ideal opportunity for someone passionate about analytics, innovation, and using technology to improve critical services.
Accountabilities
As a Data Analyst focused on water infrastructure, you will be responsible for building and maintaining analytics solutions that enable organizations to better understand, manage, and optimize their infrastructure assets. You will combine business intelligence, data modeling, and geospatial capabilities to deliver reliable reporting systems and insights.
- Design, develop, and optimize advanced Power BI dashboards and reporting solutions.
- Build scalable data models using SQL, Python, and business intelligence technologies.
- Transform time-series, geospatial, and asset datasets into meaningful visualizations and actionable in

📌 Data Analyst (Ciudad de México)
🏢 Jobgether
📍 Ciudad de México