Data Analytics Coordinator

Ferrovial Construction, is a business unit of Ferrovial, whic is listed simultaneously on 3 stock markets: USA (Nasdaq), the Netherlands (Euronext Amsterdam), and Spain (IBEX 35). The U.S. listing represents a key step in Ferrovial’s internationalization process and plans for growth in North America.

Ferrovial Construction is internationally recognized for its capacity to design and build civil engineering and construction projects, mainly in large transportation infrastructure. Its track-record to date includes more than 304 miles of tunnels, 11,930 miles of roads (including 2,485 miles of highways), 2920 miles of railroad lines (including 434 miles of high-speed railroads) and 16,994 miles of road maintenance and repair.

• Job Overview:

  The Data Analytics Coordinator will play a critical role in transforming data into actionable insights that drive decision-making and operational efficiency. This role requires a blend of strong technical expertise, analytical acumen, and cross-functional collaboration. The ideal candidate will be responsible for managing data pipelines, cleaning and preparing datasets, developing dashboards, and automating reporting processes.

  Key Responsibilities:

  1. Data Engineering & Integration

• Design and implement scalable data pipelines to extract, transform, and load (ETL) data from multiple sources, including APIs, Excel, CSVs, SQL databases, and third-party platforms.
• Integrate disparate data systems into a unified data model for cross-functional analytics.
• Automate data refresh and ingestion processes using Power Automate and scheduled SQL jobs.
• Ensure data lineage, version control, and traceability across the full lifecycle.
• 2. Data Cleaning, Preparation & Modeling
• Perform data cleansing, anomaly detection, and validation to ensure data integrity and usability.
• Standardize and enrich datasets using Power Query (M language), SQL scripts, and R scripts.
• Develop relational and star-schema data models to support analytics across business domains.
• Maintain and document metadata, calculated fields, and transformation logic.
• Design and deploy process automation solutions using Power Automate (e.g., report distribution, data validation workflows, alerting).
• Integrate Power BI with Power Apps and Power Automate for advanced interactivity and data updates.
• Build low-code applications with Power Apps to collect, manage, or visualize operational data.
• Monitor and maintain automation reliability, version updates, and error logs.

• 3. Business Intelligence & Visualization

• Build and maintain advanced dashboards, paginated reports, and KPIs using Power BI.
• Create DAX measures and custom visuals to deliver performance insights and trend analysis.
• Design semantic models and shared datasets to support enterprise-wide reporting consistency.
• Collaborate with end-users to translate analytical needs into interactive visualizations.

• 4. Data Governance, Security & Documentation

• Ensure compliance with data privacy, security policies, and audit requirements.
• Maintain detailed technical documentation of data models, reports, and automation processes.
• Contribute to enterprise data standards, definitions, and best practices for analytics.

• Technical Skills:

• Power BI: Advanced dashboarding, data modeling, DAX, Power Query
• Power Automate: Workflow automation, connectors, approval flows
• Power Apps: Canvas and model-driven app development
• SQL: Complex querying, stored procedures, views, performance tuning
• R Programming: Data wrangling, statistical modeling, visualizations
• Big Data Tools: Experience with large datasets and scalable data solutions

• Preferred Experience

• Proficient in data preparation and transformation using Excel, Power BI, and mapping logic to ensure data quality and consistency.
• Proven experience developing and maintaining Power BI dashboards for operational and strategic reporting with real-time performance metrics.
• Hands-on expertise in workflow automation using Power Automate, with a demonstrated ability to reduce manual tasks and optimize data-driven processes.
• Exposure to data governance practices, including the application of row-level security (RLS), user access controls, and audit-compliant documentation standards.
• Experience working with project management platforms such as Procore, SharePoint, or similar systems to extract, integrate, and visualize operational data within enterprise analytics workflows.

• Qualifications:

• 5+ years’ experience in Data Analytics.
• Strong proficiency in Data Analytics. Certification will be a plus.
• Excellent project management, communication, and team leadership skills.
• In-depth knowledge of data management principles and best practices.
• Ability to solve complex problems and ensure high-quality data deliverables.