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Entry Level Water Data Analyst Jobs in Chicago, IL

Job Title: Entry-Level Data Analyst Location: Chicago, IL Job Type: Only W2 · Collect, clean, and analyze data from multiple sources. · Write SQL queries to extract and manipulate data. · Create ...

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 ...

Business Data Analyst

Naperville, IL · 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 ...

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.

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.

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

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$33

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

As of Aug 25, 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 are popular job titles related to Entry Level Water Data Analyst jobs in Chicago, IL?

For Entry Level Water Data Analyst jobs in Chicago, IL, the most frequently searched job titles 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

Synergie Systems

Chicago, IL • On-site

Other

Posted 7 days ago


Job description

Job Title: Entry-Level Data Analyst

Location: Chicago, IL

Job Type: Only W2

Job Description:

·       Collect, clean, and analyze data from multiple sources.

·       Write SQL queries to extract and manipulate data.

·       Create reports and dashboards using tools such as Power BI or Tableau.

·       Perform data validation and identify data quality issues.

·       Analyze trends, patterns, and business performance metrics.

·       Prepare daily, weekly, and monthly reports.

·       Support senior analysts and business teams with ad-hoc data requests.

·       Maintain and update datasets, reports, and dashboards.

·       Communicate analytical findings to technical and non-technical stakeholders.

·       Document data sources, processes, and reporting procedures.

·       Assist with automating repetitive reporting tasks.

Required Skills:

·       SQL — SELECT, WHERE, JOIN, GROUP BY, subqueries, aggregations.

·       Excel — PivotTables, VLOOKUP/XLOOKUP, formulas, charts, data cleaning.

·       Basic understanding of data analysis and statistics.

·       Familiarity with Power BI or Tableau.

·       Good analytical and problem-solving skills.

·       Strong attention to detail.

·       Good written and verbal communication skills.

Preferred Skills:

·       Python, especially Pandas and NumPy.

·       Power BI/DAX or Tableau.

·       Basic knowledge of relational databases.

·       Understanding of ETL/data pipelines.

·       Basic knowledge of statistics.

·       Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.

·       Experience working with large datasets.

Qualifications:

·       Bachelor’s degree in computer science, Data Analytics, Statistics, Mathematics, Business Analytics, Engineering, or a related field.