Data Visualization & Analytics Engineer - Onsite Houston

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

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.