Senior GIS Data Analyst (Utilities)

We are seeking a Senior GIS Data Analyst to join our Water Asset Management team and own the GIS application-development side of the practice.

Requirements

• Design, build, and deploy Survey123 collection forms aligned to utility field workflows.
• Develop Operations Dashboards and Experience Builder apps that translate raw sensor and meter data into actionable client-facing tools.
• Build and maintain custom integrations against the ArcGIS API for Python and JavaScript, including AI/ML-enabled workflows where they earn their place.
• Architect end-to-end data + GIS solutions for utility clients — from field collection through dashboard delivery — balancing Esri-native tools with custom Python/SQL plumbing.
• Define data models, schemas, and integration patterns that the analyst team can pick up and operate.
• Triage and resolve the high-complexity issues that the analyst team escalates.
• Lead technical conversations with utility clients during scoping, demos, and implementation reviews.
• Translate utility-side requirements into the application architecture that delivers them.
• Pair with analyst-level team members to accelerate their growth into form authoring, Experience Builder development, and API work.
• Maintain a culture where the team’s collective skill ceiling rises over time.

Benefits

• Employee Stock Ownership Plan (ESOP): All employees are owners & benefit from profits earned.
• Competitive pay: Paid holidays, bereavement, and parental, medical, and military leave.
• Multiple office locations to work from: Stick close to home or travel for a change of scenery.
• Growth opportunities & training: Grow confidently in your career with our mentoring & training options.
• Professional development: Tuition reimbursement, early career professional program, online courses & more.
• Work that makes a difference: See the direct impact your work has on our communities.
• Collaborative, supportive team: People to help you solve problems, cheer successes & encourage you along the way.

Tagged as: Data Analysis