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Environmental Data Analyst Jobs in Chicago, IL (NOW HIRING)

Experience working with data and analytics in AWS environments . * Ability to analyze and interpret technical and behavioral data, including RUM and APM metrics . * Excellent verbal and written ...

New

Data Analyst

Chicago, IL · On-site

$18/hr

Our Data Analysts analyze, identify, and interpret patterns and trends in client data utilizing ... an environment where our employees feel valued. We are also an organization that believes in the ...

Data Analyst

Chicago, IL · On-site

$80 - $100/hr

Work in a hybrid environment with at least three mandatory days in office. Qualifications * Bachelor's degree in Data Science, Data Analytics, Business Administration, or a related field, or ...

Role Summary We are looking for two Data Analyst to join our team in Fremont, CA. This is an ... Ability to work independently and in a team environment. Preferred Qualifications * Experience with ...

Data Analyst

Oak Park, IL · On-site

$65K - $80K/yr

Candidates must be comfortable working in a collaborative, fast-paced office environment. Salary ... Analyze and compile data from multiple systems to create customized reports and dashboards.

New

Candidates must be comfortable working in a collaborative, fast-paced office environment. Salary ... Analyze and compile data from multiple systems to create customized reports and dashboards.

New

Data Analyst

Chicago, IL · On-site

$187K/yr

Support self-service reporting environments and implement rigorous data quality controls. • ... Strong analytical rigor, excellent communication skills, and the ability to perform complex data ...

Data Analyst

Lake Forest, IL · Hybrid

$67K - $108K/yr

... environment. Schedule/Location: * This position offers a hybrid work schedule where 2-3 days of ... Perform data analysis accurately and timely using statistical techniques to identify trends and ...

Data Analyst

Lake Forest, IL · On-site

$80 - $100/hr

... environment. Schedule/Location: * This position offers a hybrid work schedule where 2-3 days of ... Perform data analysis accurately and timely using statistical techniques to identify trends and ...

Ability to work effectively in a fast-paced environment with changing priorities * Strong written and oral communication skills * 2+ years of work experience in data analytics or data science roles ...

Data Analyst Location: Chicago IL 60629 Duration: 3 months (Could go beyond) Summary of Position ... environment. Additional Information To know more about this position, please contact: Ujjwal Mane ...

Data Analyst

Lake Forest, IL · Hybrid

$67K - $108K/yr

... environment. Schedule/Location: * This position offers a hybrid work schedule where 2-3 days of ... Perform data analysis accurately and timely using statistical techniques to identify trends and ...

Data Analyst

Lake Forest, IL · On-site

$67K - $108K/yr

... environment. Schedule/Location: * This position offers a hybrid work schedule where 2-3 days of ... Perform data analysis accurately and timely using statistical techniques to identify trends and ...

Role Summary We are looking for two Data Analyst to join our team in Fremont, CA. This is an ... Ability to work independently and in a team environment. Preferred Qualifications * Experience with ...

We are currently seeking a talented Lead Data Analyst to join us as we develop our data-driven ... Ability to work in a fully remote environment (must be based in the U.S. and willing to work in ...

We are currently seeking a talented Lead Data Analyst to join us as we develop our data-driven ... Ability to work in a fully remote environment (must be based in the U.S. and willing to work in ...

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Showing results 1-20

Environmental Data Analyst information

See Chicago, IL salary details

$35.1K

$85.2K

$140.2K

How much do environmental data analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for environmental data analyst in Chicago, IL is $85,198.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $100,000.00 per year, depending on experience, location, and employer.

What does an environmental data analyst do?

An Environmental Data Analyst collects, processes, and interprets environmental data to assess trends, monitor ecosystems, and support sustainability initiatives. They work with large datasets from sources like air quality monitors, water testing stations, and climate sensors. Using statistical and analytical tools, they identify patterns, create reports, and provide insights to help organizations make informed environmental decisions. Their work is essential in regulatory compliance, conservation efforts, and climate change research.

What are the key skills and qualifications needed to thrive as an environmental data analyst?

To thrive as an Environmental Data Analyst, you need a strong background in environmental science, statistics, and data analysis, often supported by a relevant bachelor's or master's degree. Familiarity with data analysis tools such as R, Python, GIS software, and database management systems, as well as certifications like Certified Environmental Data Scientist (CEDS), are highly beneficial. Attention to detail, problem-solving abilities, and effective communication skills help individuals excel in interpreting data and presenting findings to stakeholders. These competencies are crucial for ensuring accurate environmental assessments and supporting data-driven decision-making within organizations and regulatory frameworks.

What are the main challenges environmental data analysts face in their daily work?

One of the main challenges Environmental Data Analysts encounter is managing and interpreting large, complex datasets from diverse sources such as sensors, surveys, and monitoring equipment. Ensuring data accuracy, dealing with incomplete or inconsistent information, and keeping up with evolving environmental regulations can be demanding. Collaborating with multidisciplinary teams—such as engineers, project managers, and regulators—also requires strong communication skills to turn raw data into actionable insights. However, these challenges make the work dynamic and provide opportunities for continuous learning and professional growth.

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

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

What job categories do people searching Environmental Data Analyst jobs in Chicago, IL look for?

The top searched job categories for Environmental Data Analyst jobs in Chicago, IL are:

Infographic showing various Environmental Data Analyst job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $85,198 per year, or $41 per hour.

Other

Posted 2 days ago

New


Job description

Role: Data Analyst

Location: Chicago, IL (Hybrid)

Job type: Contract


About the Role

We are seeking a Senior Data Analyst who is passionate about data, analytics, and turning complex information into actionable business insights. This person will take a leading role in building and owning Power BI dashboards and analytics solutions that help business and product teams make informed, data-driven decisions.

The ideal candidate will have strong hands-on experience with Power BI, SQL, AWS, DynamoDB, and PostgreSQL, along with excellent communication skills. You will work closely with business stakeholders, product teams, and engineering to define metrics, build scalable analytics solutions, and translate technical and behavioral data into clear insights.

This is an excellent opportunity for an experienced analyst who wants to be a strategic analytics partner—not simply a report builder.

Key Responsibilities

  • Design, develop, and own high-quality Power BI dashboards and reports for business, product, and operational stakeholders.
  • Partner with stakeholders to define KPIs, metrics, and business requirements and translate them into scalable data models and visualizations.
  • Analyze and model data from UDH data sources, DynamoDB, PostgreSQL, and other enterprise data platforms.
  • Leverage AWS-hosted data and infrastructure to support reporting and analytical use cases.
  • Incorporate Real User Monitoring (RUM) and Application Performance Monitoring (APM) data into dashboards to identify trends in application performance, reliability, and user experience.
  • Develop and maintain advanced DAX measures, calculations, and Power BI data models following best practices.
  • Build dashboards that are high-performing, intuitive, maintainable, and optimized for self-service analytics.
  • Validate data accuracy, conduct root-cause analysis, and collaborate with engineering teams to resolve data inconsistencies.
  • Establish standards and best practices for dashboard design, metric definitions, documentation, and data visualization.
  • Translate complex technical and behavioral data into meaningful business insights for non-technical audiences.
  • Provide mentorship and technical guidance to other analysts and help improve the team's overall analytics maturity.

Required Qualifications

  • Bachelor’s degree in Analytics, Data Science, Business, Computer Science, or a related field, or equivalent experience.
  • 5+ years of experience in data analytics, business intelligence, or data analysis.
  • Advanced hands-on experience with Power BI, including:
  • Data modeling
  • DAX
  • Power BI Service
  • Dashboard development and optimization
  • Strong SQL skills with experience querying PostgreSQL or similar relational databases.
  • Hands-on experience working with NoSQL databases, particularly DynamoDB.
  • Experience working with data and analytics in AWS environments.
  • Ability to analyze and interpret technical and behavioral data, including RUM and APM metrics.
  • Excellent verbal and written communication skills with the ability to explain complex data and insights to non-technical stakeholders.
  • Strong analytical, problem-solving, and stakeholder management skills.

Preferred Qualifications

  • Experience working with UDH (Unified Data Hub) or similar unified data architectures.
  • Familiarity with RUM/APM and application observability platforms, including performance, latency, availability, and error metrics.
  • Experience building dashboards for product analytics, application reliability, customer experience, or operational analytics.
  • Knowledge of data governance, KPI standardization, metric definitions, and self-service analytics.
  • Previous experience serving as an Analytics Lead, Domain Owner, or Senior Analytics Consultant.
  • Experience working closely with engineering, product, and business teams in a cross-functional environment.

What Success Looks Like

  • Business and product leaders rely on your dashboards to make data-driven decisions.
  • Performance, reliability, usage, and business metrics are clearly defined, trusted, and consistently understood.
  • Dashboards effectively combine business, product, AWS, and observability data.
  • Analytics solutions are scalable, performant, and easy for business users to consume.
  • You become a trusted strategic thought partner across the organization—not just a dashboard developer.