Power BI & Data Analytics Engineer

TL;DR

Power BI & Data Analytics Engineer (Power BI/SQL/Python): Building interactive dashboards, automated reports, and data-driven insights by turning engineering specifications into scalable reporting solutions with an accent on data modeling, performance optimization, and reliable analytics. Focus on integrating SQL, Python, Esri GIS, and Azure/Azure Fabric while connecting API data and geospatial/asset/time-series datasets into unified visualizations for municipal water utilities.

Location

Location: Remote (Colombia, Mexico, Costa Rica, Brazil, Peru, Argentina)

Salary

Salary: null

Company

hirify.global builds reporting solutions for utility clients.

What you will do

• Build and maintain interactive Power BI dashboards and automated reports from engineering specifications.
• Design scalable data models and transform time-series, asset, and operational datasets into actionable insights.
• Integrate Esri GIS data and create mapping visualizations combining geospatial and operational/asset information.
• Develop and maintain API integrations and support automated data pipelines using Python.
• Work with engineers to clarify reporting requirements, troubleshoot data issues, and continuously improve dashboard performance and reliability.

Requirements

• Advanced experience developing dashboards and reports with Power BI.
• Strong proficiency in SQL for querying, transforming, and modeling data.
• Experience using Python for reporting, automation, or data processing.
• Hands-on experience with Esri GIS.
• Familiarity with Microsoft Azure and Azure Fabric.
• Excellent written and verbal English communication skills.

Nice to have

• Experience in water utility, engineering, infrastructure, environmental, or asset management industries.
• Experience developing frontend applications using React or Blazor.
• Familiarity with Reporting Hub, IconMaps, Figma, or ClickUp.
• Experience building automated reporting platforms for enterprise clients.

Culture & Benefits

• Full-time remote role with working hours aligned to U.S. business hours.
• Collaboration between engineering and reporting to translate technical calculations into intuitive visualizations.
• Ownership of reporting systems with continuous improvement based on client and internal feedback.
• Opportunity to learn complex municipal water utility concepts and apply them to reporting.

Hiring process

• Initial recruiter screening.
• Client interview.
• Offer stage, with an Intro Video recorded via Spark Hire after applying.