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Entry Level Water Data Analyst Jobs (NOW HIRING)

Kearney & Company

Data Analyst

Alexandria, VA · On-site

$62K - $85K/yr

Kearney is currently seeking a Data Analyst to join our team ... Specifically seeking future or entry level candidates majoring Computer Science, Statistics ...

Wood Plc

Junior Water Resources Engineer

Saint Louis, MO · On-site

$76K - $105K/yr

Overview / Responsibilities Wood is currently recruiting entry level Water Resources Engineers in ... Statistical Analyses * Stormwater Modeling * Green Infrastructure planning & design Company ...

Wood Plc

Junior Water Resources Engineer

Knoxville, TN

$75K - $103K/yr

Overview / Responsibilities Wood is currently recruiting entry level Water Resources Engineers in ... Statistical Analyses * Stormwater Modeling * Green Infrastructure planning & design Company ...

Judit Inc

Data Analyst

Tallahassee, FL

The Data Analyst is responsible for the volume layer of the assessment: intaking entity responses ... entry-level hires. Trainable at kickoff. * Prior GRC, IT audit support, or data-QA experience in a ...

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Entry Level Water Data Analyst information

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How much do entry level water data analyst jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for entry level water data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What are some common challenges faced by entry level water data analysts, and how can they be overcome?

Entry level water data analysts often encounter challenges such as managing large datasets, ensuring data accuracy, and learning specialized software for water quality or hydrological analysis. Collaborating closely with senior analysts and team members can help you quickly develop problem-solving strategies and technical skills. Regular training, asking questions, and staying updated with industry best practices can help overcome the learning curve and contribute effectively to the team's projects.

What does an entry level water data analyst do?

An Entry Level Water Data Analyst is responsible for collecting, processing, and analyzing water-related data to help organizations monitor water quality, usage, and supply. They use statistical tools and software to interpret large datasets, identify trends, and generate reports for decision-makers. Their work supports environmental protection, resource management, and regulatory compliance. Entry-level analysts often assist senior analysts and may also help with field data collection and database management.

What key skills and qualifications are needed to thrive as an entry level water data analyst?

To thrive as an Entry Level Water Data Analyst, you need a background in environmental science, statistics, or a related field, along with strong analytical and data interpretation skills. Familiarity with data analysis software such as Excel, Python, R, and GIS systems is commonly required, and certifications in data analytics can be advantageous. Attention to detail, effective communication, and problem-solving abilities are valuable soft skills for this role. These competencies ensure accurate data analysis and reporting, supporting informed decision-making in water resource management.

What is the difference between Entry Level Water Data Analyst vs Water Quality Technician?

AspectEntry Level Water Data AnalystWater Quality Technician
Required CredentialsBachelor's in environmental science, data analysis, or related fieldAssociate's or bachelor's in environmental science, chemistry, or related field
Work EnvironmentOffice-based with field data collectionPrimarily fieldwork at water treatment plants or testing sites
Employer & Industry UsageGovernment agencies, consulting firms, research institutionsWater treatment facilities, environmental agencies, laboratories
Common Search & ComparisonYesYes

While both roles involve water quality and environmental data, the Entry Level Water Data Analyst focuses on analyzing water data, creating reports, and supporting decision-making. In contrast, the Water Quality Technician primarily conducts field sampling, lab testing, and ensuring water safety standards. The analyst role is more data and report-oriented, often requiring data analysis skills, whereas the technician role emphasizes hands-on testing and fieldwork.

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Entry Level Water Data Analyst jobs near you

Data Analyst (Entry Level)

1 point system

Bentonville, AR • On-site

Contractor

Re-posted 17 days ago

Job description

o This hourly position provides essential support for AI operations within the

department. The individual in this role will collaborate closely with Product

Managers, Operation Managers, and Engineering Managers to ensure seamless

communication and execution of tasks. Additional technology-focused

responsibilities and duties may be assigned as needed

About [Constellation]

• Constellation is a team within global Tech that specializes in building, deploying,

monitoring, and leveraging connected hardware for the purpose of distributing

critical data insights to drive operational excellence and power business initiatives

across Walmart Stores, DCs (Distribution Center), and FCs (Fulfillment Centers).

What you will do:

• This hourly position provides essential support for AI operations within the

department. The individual in this role will collaborate closely with Product

Managers, Operation Managers, and Engineering Managers to ensure seamless

communication and execution of tasks. Additional technology-focused

responsibilities and duties may be assigned as needed

What you will bring:

• Data Management: Proficient in capturing and documenting data attributes,

identifying risks, and ensuring compliance with established standards.

• IT Proficiency: Strong understanding of PC (Personal Computer) hardware, operating

systems, and troubleshooting common application issues.

• Technical Expertise: Experience with department-specific systems, tools, and

providing customer-focused technical support.

• Continuous Learning: Ability to stay updated on modern technologies, processes,

and apply them to enhance team performance.

• Attention to Detail: Meticulous in processing detailed information, ensuring

accuracy and minimizing errors.

• Technical Documentation: Skilled in creating clear and eLective technical

documentation for diverse audiences.

• Machine Learning: Understanding of machine learning principles, algorithms, and

implementation.

• Analytical Thinking: Ability to interpret complex data, identify patterns, and make

data-driven decisions.

• Compliance & Ethics: Adheres to company policies, ensuring ethical conduct and

integrity in all business processes.

• Task Management: Capable of prioritizing tasks, managing deadlines, and adapting

to changing business needs.