Data Engineer

Role Overview

MetroNational is modernizing its data and analytics capabilities to foster a data-driven culture. The Data Engineer will join the data management team and play a key part in delivering MetroNational’s analytics experience by translating data into clear, intuitive, and actionable visual solutions.

What You Will Do

Design and deliver dashboards, reports, and interactive analytics applications that communicate insights clearly and effectively across corporate and property groups. Translate business questions and data patterns into intuitive visualizations and user-friendly analytics experiences.

Why It Might Be a Fit

The ideal candidate brings both analytical rigor and a strong eye for visual design, with a focus on creating solutions that are easy to use, tell a clear story, and support better decision-making.

Requirements

• Strong ability to design clear, intuitive, and visually effective dashboards and data experiences.
• Proficiency with modern visualization tools such as Domo, Power BI, or Tableau, including embedding or integrating them into broader applications.
• Working knowledge of SQL and data analysis concepts, with the ability to explore and understand data patterns.
• Experience building or supporting web-based analytics experiences, including exposure to frameworks such as React or similar front-end technologies preferred.
• Strong understanding of data storytelling and how to guide users toward insights through design and interaction.
• Demonstrated interest in applying AI within analytics and visualization experiences, with a willingness to experiment, learn, and incorporate AI-driven insights into dashboards, applications, and workflows where they create business value.
• Ability to translate business needs into practical, user-friendly solutions, balancing analytical depth with usability.
• Strong communication and collaboration skills, with the ability to work effectively across technical teams and business stakeholders.
• Attention to detail and a focus on consistency, usability, and adoption across analytics solutions.
• Familiarity with Agile and SDLC methodologies.
• Ability to manage multiple projects and priorities simultaneously.

Tagged as: Data Analysis, Data Visualization, Power BI, SQL, Tableau