Data Engineer

Metro National Corporation; Houston (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

MetroNational Corporation is seeking a Data Visualization & Analytics Engineer to modernize its analytics capabilities. You will design dashboards and interactive analytics to translate data into clear storytelling, partnering with data engineers and product teams to deliver AI-enabled insights across the organization.

The role emphasizes building web-based dashboards, embedding analytics into applications, and ensuring usability and adoption with a strong focus on data-driven decision making.

Qualifications

• Design clear, intuitive dashboards and data visuals.
• Translate business questions into actionable data stories and visualizations.
• Collaborate with stakeholders to deliver analytics that drive decisions.

Responsibilities

• Design and deliver dashboards, reports, and interactive analytics applications across corporate and property groups.
• Translate business questions into intuitive visualizations and analytics experiences.
• Develop and maintain web-based analytics solutions including embedded dashboards and lightweight apps.
• Partner with Application Development to ensure data is structured for effective visualization.
• Identify trends and present findings through clear data storytelling.
• Establish standards for dashboard usability and visual consistency.

Skills

Dashboard design

SQL

Data storytelling

AI in analytics

Stakeholder communication

Education

Bachelor’s degree

Advanced degree

Tools

Domo

Power BI

Tableau

React

Job description

Description

Position is located onsite in Houston, Texas.

Remote candidates will not be considered.

We do not Sponsor Visa's

SUMMARY: MetroNational is modernizing its data and analytics capabilities to foster a data-driven culture. We are seeking a skilled Data Visualization & Analytics Engineer to join our data management team. This role plays a key part in delivering MetroNational's analytics experience by translating data into clear, intuitive, and actionable visual solutions. The role combines strong data understanding with a focus on visualization, dashboard design, and web-based analytics delivery. Working closely with business stakeholders, data engineers, and product partners, this position is responsible for building dashboards, interactive applications, and data-driven experiences that make insights accessible and useful across the organization. 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.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• 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.
• Develop and maintain web-based analytics solutions, including embedded dashboards, lightweight applications, and visualization components.
• Partner with the Application Development team to ensure data is structured and exposed in a way that supports effective visualization and use.
• Identify trends, patterns, and anomalies in data and present findings through clear and effective data storytelling.
• Establish and promote standards for dashboard design, usability, and visual consistency across analytics solutions.
• Work directly with stakeholders to iterate on solutions and improve adoption, ensuring analytics tools are useful and easy to use.
• Integrate AI-enabled capabilities into dashboards and analytics applications, exploring ways to surface insights and improve decision-making through AI.
• Support ongoing enhancements, performance improvements, and usability updates across existing dashboards and analytics applications.

SKILLS, QUALIFICATIONS, AND OTHER 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.

Requirements

EDUCATION AND REQUIRED EXPERIENCE:

• Bachelor’s degree, advance degree a plus.
• 5+ years of hands-on experience in data engineering within complex organizations.
• Experience in Real Estate and Property Management industry is a plus.

SKILLS, QUALIFICATIONS, AND OTHER 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.