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Environmental Data Analyst Jobs in Iowa (NOW HIRING)

Experience: * 4-6 years in data analysis, reporting, or data warehouse environments with increasing responsibility. * Demonstrated leadership in requirements gathering and user acceptance testing ...

Experience: * 4-6 years in data analysis, reporting, or data warehouse environments with increasing responsibility. * Demonstrated leadership in requirements gathering and user acceptance testing ...

Experience: * 4-6 years in data analysis, reporting, or data warehouse environments with increasing responsibility. * Demonstrated leadership in requirements gathering and user acceptance testing ...

Are you a Financial Data Analyst who thrives in a dynamic, fast-paced environment? If so, the DSI Information Technology team wants to hear from you! In this high-visibility role, you will interact ...

Are you a Financial Data Analyst who thrives in a dynamic, fast-paced environment? If so, the DSI Information Technology team wants to hear from you! In this high-visibility role, you will interact ...

Are you a Financial Data Analyst who thrives in a dynamic, fast-paced environment? If so, the DSI Information Technology team wants to hear from you! In this high-visibility role, you will interact ...

Are you a Financial Data Analyst who thrives in a dynamic, fast-paced environment? If so, the DSI Information Technology team wants to hear from you! In this high-visibility role, you will interact ...

Are you a Financial Data Analyst who thrives in a dynamic, fast-paced environment? If so, the DSI Information Technology team wants to hear from you! In this high-visibility role, you will interact ...

Are you a Financial Data Analyst who thrives in a dynamic, fast-paced environment? If so, the DSI Information Technology team wants to hear from you! In this high-visibility role, you will interact ...

Collaborate with research and data science teams to perform exploratory data analytics, identifying ... We foster an environment that encourages innovation, collaboration, and diverse perspectives ...

Collaborate with research and data science teams to perform exploratory data analytics, identifying ... We foster an environment that encourages innovation, collaboration, and diverse perspectives ...

Collaborate with research and data science teams to perform exploratory data analytics, identifying ... We foster an environment that encourages innovation, collaboration, and diverse perspectives ...

Collaborate with research and data science teams to perform exploratory data analytics, identifying ... We foster an environment that encourages innovation, collaboration, and diverse perspectives ...

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Environmental Data Analyst information

See Iowa salary details

$31.9K

$77.6K

$127.7K

How much do environmental data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for environmental data analyst in Iowa is $77,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $91,100.00 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 Iowa?

The most popular types of Environmental Data Analyst jobs in Iowa are:

What are popular job titles related to Environmental Data Analyst jobs in Iowa?

For Environmental Data Analyst jobs in Iowa, the most frequently searched job titles are:

Infographic showing various Environmental Data Analyst job openings in Iowa as of August 2026, with employment types broken down into 79% Full Time, 4% Part Time, 9% Temporary, 4% Contract, and 4% Nights. Highlights an 100% In-person job distribution, with an average salary of $77,621 per year, or $37.3 per hour.

Data Analyst III

NCMIC

Clive, IA • On-site

Full-time

Re-posted 3 days ago


Job description

Position Purpose:   

Serves as an advanced analytical resource responsible for defining data requirements, validating enterprise data solutions, and ensuring alignment between business objectives and technical implementation.

Acts as the primary analytical owner for reporting and data initiatives, translating business needs into structured data definitions and validation logic. Partners closely with Data Engineers to ensure accurate implementation within established data models and architectural standards.

Independently leads small to medium initiatives and contributes significantly to larger efforts by bringing forward well-developed recommendations and risk assessments prior to implementation.

Essential Functions:

 

Gathers and defines reporting and data requirements in collaboration with managers and operational stakeholders. Translates business needs into data definitions, transformation rules, validation criteria, and reporting specifications. Ensures requirements are complete and testable prior to development.

 

Develops SQL queries and analytical logic to validate ETL outputs and reporting accuracy. Reconciles discrepancies and confirms adherence to defined business rules. Collaborates with Data Engineers to resolve issues and refine logic as needed.

  

Coordinates and executes UAT efforts to confirm solutions meet defined functional and data accuracy requirements. Documents findings and ensures corrections are addressed prior to production release.

 

Traces data flow across systems to assess downstream impacts of new data elements or definition changes. Identifies risks and dependencies and communicates findings and recommendations as appropriate.

Reinforces enterprise data definitions, naming conventions, and documentation practices. Identifies inconsistencies in business logic and recommends improvements. Provides mentorship and peer guidance as the analyst function grows.

 

Performs other duties as assigned.

 

Requirements:

Education:   Bachelor’s degree in Business Administration, Computer Science, Management Information Systems, or related field; or equivalent combination of education and experience.

Experience: 

  • 4–6 years in data analysis, reporting, or data warehouse environments with increasing responsibility.
  • Demonstrated leadership in requirements gathering and user acceptance testing efforts.
  • Proven ability to validate and reconcile data within ETL or warehouse solutions.
  • Strong track record translating business rules into structured data definitions and technical specifications.
  • Industry knowledge in insurance or financial services preferred.

Skills: 

  • Advanced proficiency in SQL and strong working knowledge of relational and warehouse data environments.
  • Ability to define, document, and validate business data logic with precision.
  • Demonstrated strength in structured problem-solving, impact analysis, and issue resolution.
  • Effective communicator capable of engaging technical teams and business stakeholders.
  • Demonstrates accountability and sound judgment while managing multiple concurrent initiatives.

Mental Demands: Ability to analyze complex business and data scenarios with limited direction. Ability to interpret requirements, evaluate alternatives, and identify root causes through structured problem-solving. Must be able to manage multiple initiatives, communicate findings clearly, and maintain a high level of accuracy while working under deadlines. Ability to adapt to changing priorities and collaborate effectively with technical and business stakeholders.

Physical Demands: Continuous sitting for extended periods of time, some standing, walking, bending and reaching. Frequent use of fingers and hands to manipulate computer, telephone and other office equipment. Ability to be able to look and concentrate at a computer screen/monitor for extended periods of time.