GIS Data Analyst - Utilities ETL Specialist (Houston Onsite)

Aquent; Houston (TX); On-site; USD 70,000 - 90,000; Full time

Benefits offered by this job

Health benefits

Vision and dental plans

Sick leave

Retirement plans with employer match

Online training (Aquent Gymnasium)

Job summary

Aquent is seeking an data analytics professional for an on-site role in Houston. The position focuses on GIS tooling, SQL querying, and robust ETL processes to support utility data workflows.

You will help ensure data quality, integrity, and scalable data management for critical infrastructure datasets. Candidates should have a technical background with up to two years of relevant experience, strong communication skills, and a desire to contribute to data-driven decision making in the energy

Qualifications

• Bachelor’s degree in a technical field such as Computer Science, Computer Engineering, or a closely related discipline.
• 0-2 years of applicable experience in data analysis or database management.
• Proven experience with various database technologies and ETL processes.
• Experience with GIS tools and SQL for data querying and maintenance.

Responsibilities

• Collaborate with management and teams to define data requirements and data strategies.
• Design, code, and guide database descriptions and identifiers within management systems.
• Develop, automate, and maintain large-scale ETL processes.
• Modify databases and guide others in necessary changes, ensuring data integrity.
• Test programs and databases, diagnose issues, and implement fixes.

Skills

GIS Tools

SQL

ETL

Data QA

Scripting

Communication

Education

Bachelor’s degree in Computer Science/Engineering

Tools

SAP

MS Excel

MS Access

GPS & GIS

Job description

Aquent is seeking an data analytics professional for an on-site role in Houston. The position focuses on GIS tooling, SQL querying, and robust ETL processes to support utility data workflows.

You will help ensure data quality, integrity, and scalable data management for critical infrastructure datasets. Candidates should have a technical background with up to two years of relevant experience, strong communication skills, and a desire to contribute to data-driven decision making in the energy