Utility Data Analyst: GIS, SCADA & Power BI

DataJobs; Seguin (TX); On-site; USD 59,000 - 72,000; Full time

Job summary

SSLGC in Seguin, TX is seeking a data-focused professional to support utility data engineering and reporting. You will build data models, develop dashboards with Power BI, and ensure data quality across GIS, CMMS, SCADA, and asset management systems, collaborating with operations and vendors.

The role involves working on data from water treatment, production, transmission, and distribution, with a focus on data quality and actionable insights for leadership.

Qualifications

• At least 1 year of GIS and asset management/CMMS experience, preferably for water utility infrastructure.
• Experience with Excel and Power BI for reporting and analysis.
• Valid Texas Driver’s License with acceptable driving record.

Responsibilities

• Assist the Assistant General Manager with utility application management, data engineering, data modeling, and data visualization for SSLGC.
• Handle data and application work tied to water treatment, production, transmission, and distribution.
• Develop weekly reports for the Assistant General Manager focusing on data quality and recommendations to reduce outliers and improve data collection.
• Attend software development meetings with vendors, project managers, and consultants as needed.
• Maintain regular interaction with operations and maintenance staff to identify data quality issues.

Skills

GIS

Data analysis

Power BI

Microsoft Excel

CMMS

Data visualization

Education

Bachelor’s or Master’s degree in GIS, Data Analytics, or related field

Tools

SCADA

CMMS

GIS

Job description

SSLGC in Seguin, TX is seeking a data-focused professional to support utility data engineering and reporting. You will build data models, develop dashboards with Power BI, and ensure data quality across GIS, CMMS, SCADA, and asset management systems, collaborating with operations and vendors.

The role involves working on data from water treatment, production, transmission, and distribution, with a focus on data quality and actionable insights for leadership.