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GIS-Business Analytics Administrator

Job in Sequim, Clallam County, Washington, 98334, USA
Listing for: City of Sequim
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 34.69 - 44.68 USD Hourly USD 34.69 44.68 HOUR
Job Description & How to Apply Below

The GIS/Business Analytics Administrator is responsible for the technical management and maintenance of the City’s Geographic Information Systems (GIS) and spatial data, as well as integrating the city’s departmental and enterprise software to enhance business operations, efficiencies, and reporting initiatives. Under the supervision of the Information Technology Director, this position is responsible for leveraging data analytics tools to support operational decision-making across departments and maintaining citywide GIS databases.

The Administrator collaborates with external public entities as well as internal city departments to engage the public through interactive GIS-based communication and utilizing emerging technologies, including Artificial Intelligence (AI)-enhanced data visualization platforms.

BASE SALARY RANGE: $34.69 - 41.37 per hour. According to the Collective Bargaining Agreement, candidates will start at the lower end of the range.

This position is eligible for longevity pay, which entitles the employee to a 2% pay increase for every five years employed at the City, to a maximum of 8% after 20+ years. Taking these numbers into account, the salary for this position could ultimately range from $34.69 - $44.68 per hour, with the upper pay appropriate for an employee who had 20+ years of longevity with the City of Sequim.

Maintains

and Supports City GIS Programs and Projects
  • Maintain and administer the Enterprise GIS systems.
  • Collaborate with internal departments such as Public Works, Community Development, Police, and Administration, as well as external agencies, consultants, and regional partners.
  • Ensure the accuracy, accessibility, and consistency of spatial data and maps to support planning, permitting, asset management, emergency response, and field operations.
  • Develop and maintain GIS web applications and interactive public tools to enhance transparency, community input, and engagement in City planning and infrastructure projects.
  • Train and support staff in GIS tools, applications, and data workflows.
  • Create user guides and provide one‑on‑one and group training to strengthen GIS competency across City departments.
  • Support integration between GIS with other systems, including asset management (e.g., Cartegraph), permitting, SCADA, and other operational tools.
  • Explore and implement AI and machine learning applications to improve data classification, automate analysis, and enhance decision support capabilities.
  • Perform occasional field work to collect primary data, verify existing geospatial information, conduct surveys, or support off‑site end users or City property connections.
Business Analytics, Integration, and Visualization
  • Design and conduct software analysis to support strategic decision-making for internal stakeholders and public‑facing initiatives.
  • Assist in developing a data warehouse from which to pull integrated reports, create dashboards, maps, reports, and visualizations to communicate insights.
  • Collaborate with IT staff and vendors to integrate data from GIS, enterprise systems, and external sources using APIs and data analytics software to ensure seamless access to data across platforms.
  • Perform other related duties as assigned.
Knowledge,

Skills and Abilities
  • Knowledge of business intelligence tools and data analytics (e.g., Power BI, Tableau, ArcGIS Dashboards) for spatial and non‑spatial data visualization and reporting.
  • Proficiency in ESRI ArcGIS online and/or Portal administration (ArcGIS Pro, ArcGIS Online, Field Maps, Story Maps, etc.).
  • Familiarity with AI/ML tools applied in GIS (e.g., predictive analysis, automated classification).
  • Experience with GIS data structures and geospatial databases; proficiency in SQL, Python scripting, and Model Builder for automation and analysis.
  • Understanding of data warehouse concepts and integration of GIS with enterprise data systems via APIs and ETL (Extract, Transform, Load) processes.
  • Knowledge of asset management and work order systems (e.g., Cartegraph).
  • Ability to work both independently and as part of a team.
  • Ability to maintain consistent and timely in‑person attendance to support the work of the team.
  • Ability to communicate…
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