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Educational Data Analyst Jobs in Iowa (NOW HIRING)

NCMIC

Data Analyst III

Clive, IA

Education: Bachelor's degree in Business Administration, Computer Science, Management Information ... Experience: * 4-6 years in data analysis, reporting, or data warehouse environments with increasing ...

NCMIC

Data Analyst III

Clive, IA · On-site

Education: Bachelor's degree in Business Administration, Computer Science, Management Information ... Experience: * 4-6 years in data analysis, reporting, or data warehouse environments with increasing ...

EQUITRUST

Senior Sales Data Analyst

West Des Moines, IA · On-site

$78K - $99K/yr

Education: * A High School Diploma or Equivalent is Required. * A Bachelor's or Associate Degree in a related field preferred (e.g. Data Analytics, Business Analytics, Data Science). Experience:

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All JobsEducational Data Analyst JobsEducational Data Analyst Jobs in Iowa

Educational Data Analyst information

See Iowa salary details

$31.9K

$77.6K

$127.7K

How much do educational data analyst jobs pay per year?

As of Jul 28, 2026, the average yearly pay for educational 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 a typical day look like for an Educational Data Analyst?

A typical day for an Educational Data Analyst often involves gathering, cleaning, and analyzing data from various educational platforms to uncover trends and identify areas for improvement. Analysts may collaborate closely with educators, administrators, and IT staff to interpret results, develop reports, and present findings in clear, actionable terms. The role also includes designing and maintaining dashboards, ensuring data accuracy, and supporting program evaluations across departments. Because the position often requires juggling multiple projects, organizational skills and the ability to communicate complex data insights to non-technical audiences are especially important.

Will AI replace a data analyst?

AI is unlikely to fully replace educational data analysts, as their role involves interpreting complex data, understanding educational contexts, and making strategic decisions that require human judgment. AI tools can automate data processing and visualization, but analysts are essential for contextual analysis, interpreting insights, and communicating findings. Developing skills in data management, statistical analysis, and AI tools can enhance an analyst's effectiveness in this evolving field.

What does an educational analyst do?

An educational data analyst collects, analyzes, and interprets data related to student performance, school operations, and educational programs to support decision-making. They often use statistical tools and software like Excel, SQL, or Tableau and may work closely with educators and administrators to improve educational outcomes.

What does an educational data analyst do?

An educational data analyst collects, analyzes, and interprets data related to student performance, school operations, and educational programs. They use statistical tools and software to identify trends, support decision-making, and improve educational outcomes. Strong analytical skills and knowledge of data management are essential for this role.

What does an Educational Data Analyst do?

An Educational Data Analyst collects, processes, and interprets data to support decision-making in educational institutions. They analyze student performance, enrollment trends, and institutional effectiveness to improve learning outcomes. Using statistical tools and software, they identify patterns, generate reports, and provide insights to educators and administrators. Their role helps optimize resource allocation, curriculum planning, and policy development.

Is 30 too late for data science?

Educational Data Analysts can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science or related roles later in their careers by acquiring relevant technical skills such as programming, statistics, and data visualization, often through online courses or certifications. Age is generally not a barrier if you develop the necessary competencies and stay current with industry tools and methods.

What are the key skills and qualifications needed to thrive in the Educational Data Analyst position, and why are they important?

To thrive as an Educational Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid understanding of education systems, usually supported by a degree in statistics, data science, education, or a related field. Familiarity with tools such as SQL, Python or R, data visualization software like Tableau or Power BI, and experience with learning management systems are typically required. Excellent communication, critical thinking, and collaborative abilities set top performers apart in this position. These competencies are crucial for extracting actionable insights from complex educational data, enabling effective decision-making and improved student outcomes.

What are the most commonly searched types of Educational Data Analyst jobs in Iowa? The most popular types of Educational Data Analyst jobs in Iowa are:
What are popular job titles related to Educational Data Analyst jobs in Iowa? For Educational Data Analyst jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Educational Data Analyst jobs in Iowa look for? The top searched job categories for Educational Data Analyst jobs in Iowa are:
What cities in Iowa are hiring for Educational Data Analyst jobs? Cities in Iowa with the most Educational Data Analyst job openings:
Educational Data Analyst jobs near you
Infographic showing various Educational Data Analyst job openings in Iowa as of July 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $77,621 per year, or $37.3 per hour.
Data Analyst III

Data Analyst III

NCMIC

Clive, IA

Full-time

Posted 23 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.

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