Water & Utilities Analytics Consultant

Arcadis

Washington (District of Columbia)

On-site

USD 76,000 - 95,000

Full time

3 days ago
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Job summary

Arcadis seeks a Management Consultant to join its Business Advisory practice in multiple U.S. locations (Los Angeles, Atlanta, Virginia Beach, Hanover, or Washington DC). The role blends engineering knowledge with IT analytics to tackle water, wastewater, and stormwater challenges.

You will analyze datasets, write reports, and work with clients to deliver data-driven solutions. Required: engineering or related degree and 3+ years of experience; preferred MS degree and hands-on data tools (SQL,

Qualifications

  • Bachelors degree in Civil or Environmental Engineering, Computer or Data Science, MIS, or closely related discipline.
  • 3+ years of professional experience.

Responsibilities

  • Perform data analytics, financial analysis, and organizational assessments.
  • Conduct condition assessments, vulnerability and mitigation evaluations, and planning for utilities.
  • Collect, organize, and analyze large datasets to identify trends and insights.
  • Prepare technical reports, business development materials, and presentations.
  • Collaborate with clients and teams across the U.S. and internationally; manage multiple projects with deadlines.

Skills

Analytical thinking
Problem-solving
Attention to detail
Independent & team-oriented
Adaptable

Education

Bachelor's degree in Civil/Environmental Engineering, Computer/Data Science, MIS
Master's degree (preferred)

Tools

Excel
SQL
Python
R
MS SQL Server
Oracle
Power BI
Tableau
Python/Java/C#
Jira
DevOps
Azure
AWS

Job description

Arcadis seeks a Management Consultant to join its Business Advisory practice in multiple U.S. locations (Los Angeles, Atlanta, Virginia Beach, Hanover, or Washington DC). The role blends engineering knowledge with IT analytics to tackle water, wastewater, and stormwater challenges.

You will analyze datasets, write reports, and work with clients to deliver data-driven solutions. Required: engineering or related degree and 3+ years of experience; preferred MS degree and hands-on data tools (SQL,

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