Water Utility GIS Data Analyst

Arcadis•Hanover, MD

2d•$80,000 - $100,000•Onsite

About The Position

Arcadis is seeking a Water Utility GIS Data Analyst to join our National Planning and Water Resilience Team in Hanover, Maryland! In this role you will assist Engineers, Scientists, and Project Managers with tasks associated with water infrastructure project work. As part of our data management and GIS team, you’ll work across multiple teams to provide GIS and data analysis support to projects with water utility clients. Projects focus on data analyses for program decisions, grant funding, workstream optimization and more.

Requirements

Bachelor's Degree, preferably STEM related
9 years of experience, including 2 years in a consulting capacity
Experience leading small data teams
Applying data analysis best practices to support informed decision-making
Strong understanding of statistical principles, including random sampling and confidence intervals
Experience collaborating with field data collection teams
Working knowledge of database technology such as SQL Server
Ability to write basic SQL code independently
Strong attention to detail
Excellent written and verbal communication skills
Sound problem-solving abilities
Experience developing technical methodologies, procedures, and documentation

Responsibilities

Work with clients and internal teams to organize around the best data analyses for decision making.
Leverage best practices in organizing small teams to develop standard operating procedures (SOPs) related to data collection and curation.
Organize the execution of analyses from field work, data aggregation, all the way to client-ready reports and assets.
Coordinate and participate in training activities to educate junior data analysts.
Provide accountability for the development of SOPs, ensuring integrity and quality control.
Interview stakeholders making decisions with data, understanding the goals in using data to drive decisions.
Understand internal and external KPIs and metrics and guide how data feeds into these measurements.
Ensure data collected is accurate, standardized, and usable for downstream data products.
Regularly review client-facing data products, flagging when updates produce bugs or issues.
When appropriate, maintain calendars, MS Planner boards, and other project management assets, keeping tasks and timelines in the view of all team members.
Troubleshoot issues with the team, leveraging a strong foundational data background to facilitate root cause analysis and make adjustments.