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Entry Level Water Data Analyst Jobs in Chicago, IL

Job Summary We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills ...

Tableau Data Analyst

Evanston, IL ยท On-site

$40 - $50/hr

Our client is seeking a Tableau Data Analyst to support critical reporting, dashboarding, and ... entry-level positions to the C-suite. With units specializing in Accounting and Finance ...

Company Description Fortune 500 global provider of water, hygiene and energy technologies and ... North Highland has an immediate contract-to-hire opportunity for a Data Analyst to work on an IT ...

Business Data Analyst

Naperville, IL ยท On-site +1

$55K - $120K/yr

Elicit, analyze, and document business and data requirements from stakeholders across the insurance ... We offer comprehensive benefits like: * 26 PTO Days (Entry Level) + 12 Company Holidays = 38 Paid ...

Whether improving your commute, keeping the lights on, providing access to clean water, or ... Manage, analyze, and visualize complex datasets to support transportation systems, emerging ...

Whether improving your commute, keeping the lights on, providing access to clean water, or ... Manage, analyze, and visualize complex datasets to support transportation systems, emerging ...

Whether improving your commute, keeping the lights on, providing access to clean water, or ... Manage, analyze, and visualize complex datasets to support transportation systems, emerging ...

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Data Protection, A/SA-Evergreen

Chicago, IL ยท On-site

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Data Protection, A/SA-Evergreen

Chicago, IL ยท On-site

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

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Entry Level Water Data Analyst information

See Chicago, IL salary details

$13

$33

$63

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

As of Sep 2, 2026, the average hourly pay for entry level water data analyst in Chicago, IL is $33.92, according to ZipRecruiter salary data. Most workers in this role earn between $21.78 and $37.88 per hour, depending on experience, location, and employer.

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 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 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.

How to become an entry level water data analyst?

To become an entry-level water data analyst, candidates typically need a bachelor's degree in environmental science, water resources, statistics, or a related field. Developing skills in data analysis tools such as Excel, SQL, or Python, along with understanding water systems and environmental data, is essential; certifications in data analysis or environmental management can also enhance job prospects.

What are the most commonly searched types of Water Data Analyst jobs in Chicago, IL?

The most popular types of Water Data Analyst jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Entry Level Water Data Analyst jobs?

Cities near Chicago, IL with the most Entry Level Water Data Analyst job openings:

Entry level Data Analyst

Dhalite Inc.

Chicago, IL โ€ข On-site

Other

Posted 27 days ago


Job description

Note: Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Job Summary


We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills and experience working with large datasets, data visualization tools, and statistical techniques to identify trends, build predictive models, and generate actionable insights. This role requires collaboration with cross-functional teams to transform complex data into meaningful business strategies.

Key Responsibilities

  • Build and optimize data pipelines and ETL workflows for efficient data processing and integration.
    Analyze large datasets using Python, SQL, and statistical methods to identify patterns and trends.
    Create interactive dashboards and visual reports using Power BI, Tableau, or similar tools.
    Implement predictive forecasting and analytical models to support strategic decision-making.
    Automate data workflows and reporting processes to improve operational efficiency.
    Ensure data quality, accuracy, and integrity through validation and monitoring frameworks.
    Perform root cause analysis on performance and operational issues using data insights.
    Work with cross-functional teams to gather requirements and translate data into actionable insights.
    Maintain documentation of data processes, models, and reporting systems.
    Develop and maintain data models and analytical solutions to improve business insights and predictive accuracy.

Required Qualification

  • Bachelor s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field.
    Strong knowledge of data analysis, statistical techniques, and data visualizations
    Experience working with databases and large datasets.
    Ability to interpret complex data and present insights clearly to stakeholders.
    Strong problem-solving and analytical thinking skills.