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About the Role

Arcadis is seeking a full-time Data Management Consultant to join their Water Planning Team. This role involves working independently and collaboratively with a diverse team of professionals to deliver information technology projects for the water and wastewater utility industry. The position requires strong analytical skills, persuasive communication, and relationship-building abilities.

Responsibilities

• Technical delivery of information technology projects for the water and wastewater utility industry.
• Work with senior consultants and client staff to perform business process/work method assessments.
• Conduct project research and data collection.
• Perform analyses and generate reports.
• Develop and validate machine-learning models and data pipelines to predict service-line materials and other operational risks for drinking-water clients using GIS, SQL, R, and Python.
• Participate in pursuit plans and develop client engagement strategies.
• Participate in task order development and interviews to win new projects.
• Contribute to data warehouse design, security profile management, and data share design for client systems.
• Develop integration efforts for existing enterprise systems.
• Perform analyses on system architecture and performance.
• Perform data analyses on large utility datasets such as GIS, CMMS, capacity assessment, and modeling.
• Increase team productivity by developing automated applications.
• Coordinate information requirements.
• Lead project teams on execution.
• Perform services on-site or off-site to support client staff performing their day-to-day activities.
• Develop technical reports and presentations for projects.
• Design and implement analytics and dashboard platforms.

Requirements

• 3 years of experience with GIS, SQL, Python, R, PowerBI.
• B.S. in Data Science, Computer Science, Engineering, Management Information Systems, Statistics, or related discipline.

Skills

• GIS
• SQL
• Python
• R
• PowerBI
• Machine-learning models
• Data pipelines
• Data warehouse design
• Security profile management
• Data share design
• System integration
• System architecture analysis
• System performance analysis
• Data analysis
• Automated application development
• Analytics platforms
• Dashboard platforms

Location

• Flexible hybrid role, can be based in any Arcadis location.

Work Type

• Full-time
• Hybrid

Experience Level

• 3 years of experience

Education Level

• B.S. in Data Science, Computer Science, Engineering, Management Information Systems, Statistics, or related discipline.
• M.S. or Ph.D. in Data Science, Computer Science, Engineering, Management Information Systems, Statistics, or related discipline.

Salary/Compensations

• $60,000 - $90,000

Benefits

• Medical
• Dental
• Vision
• EAP
• 401K
• STD
• LTD
• AD&D
• Life insurance
• Paid parental leave
• Reward & recognition program
• Optional wellbeing benefits
• Adoption assistance
• Tuition reimbursement
• Nine paid holidays
• 15 days PTO that accrue per year

About the Company

• Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.
• We are more than 34,000 people, in over 30 countries, dedicated to improving quality of life.
• We believe everyone's contribution matters.
• We are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together.
• You’ll do meaningful work, and no matter what role, you’ll be helping to deliver sustainable solutions for a more prosperous planet.
• Make your mark, on your career, your colleagues, your clients, your life and the world around you.
• Together, we can create a lasting legacy.

Equal Opportunity

• We want you to be able to bring your best self to work every day.
• Our ambition is to be an employer of choice and provide a great place to work for all our people.
• We are an equal opportunity employer.
• We are dedicated to a policy of non-discrimination in employment on any basis including race, creed, color, religion, national origin, sex, age, disability, marital status, sexual orientation, gender identity, citizenship status, disability, veteran status, or any other basis prohibited by law.