Data Analyst I

This part-time Data Analyst I position at Iowa State University supports operational reporting and data quality for the Seed Science Center, translating data from multiple systems into actionable information for assessment, performance evaluation, and ongoing improvement.

Role Overview

The Data Analyst I role focuses on analyzing operational data, building recurring and ad hoc reporting outputs, and ensuring data integrity across systems. The position also contributes to program assessment and evaluation of organizational goals and performance measures, including support for accreditation reviews and annual reporting.

Responsibilities

• Analyze operational data to identify trends across sample volumes, testing activities, customer service, turnaround times, revenue, workload distribution, and program performance.
• Develop recurring and ad hoc reports, dashboards, visualizations, and performance metrics that support decision-making and operational improvements.
• Collect, organize, clean, validate, and maintain data from multiple systems to support accurate, consistent, and complete reporting.
• Investigate data discrepancies, resolve reporting issues, and collaborate with information technology staff on system updates and improvements.
• Maintain documentation covering data definitions, reporting methods, business rules, and data quality standards.
• Support accreditation reviews, annual reporting, program assessment, and evaluation of organizational goals and performance measures.
• Participate in user testing and validation activities for system updates and reporting modifications.
• Assist staff with accessing, interpreting, and using reports and data resources; develop training materials and user documentation as needed.
• Follow established data governance practices and FAIR data principles to ensure data is findable, accessible, interoperable, and reusable.
• Provide basic support for reporting systems and business applications, including assisting student employees or project participants as assigned.

Required Education

• Bachelor’s degree

Preferred Qualifications

• Experience analyzing data to identify trends, patterns, or operational performance measures.
• Experience developing reports, dashboards, or data visualizations using Excel, Power BI, Tableau, or similar tools.
• Experience collecting, cleaning, validating, and maintaining datasets from multiple sources.
• Experience using databases, reporting systems, or business applications to retrieve, organize, or manage data.
• Experience documenting data definitions, reporting procedures, or data quality standards.
• Experience communicating analytical findings and providing training or technical assistance to help others use data and reporting tools.
• Experience with MS SQL and MS Visual Studio.

Tools and Technologies

• Excel
• Power BI
• Tableau
• MS SQL
• MS Visual Studio

Appointment and Term Details

• Appointment type: Regular with Term Appointment (Fixed Term)
• Proposed end date or length of term: February 28, 2029
• Number of months employed per year: 12 Month Work Period
• Time type: Part time
• Part-time schedule: 50% FTE, averaging approximately 20 hours per week, with flexibility in scheduling work hours
• Job group: Professional & Scientific

Location

Ames, IA (onsite)

Work Authorization

Candidates must be legally authorized to work in the U.S. on an ongoing basis without sponsorship. Immigration sponsorship is not available for this position.

Benefits

• Health and work-life benefits, including medical and dental
• Retirement benefits including defined benefit and defined contribution plans
• Generous vacation, holiday, and sick time and leave plans
• Onsite childcare (Ames, Iowa)
• Life insurance and long-term disability
• Flexible Spending Accounts
• Various voluntary benefits and discounts
• Employee Assistance Program
• Wellbeing program
• WorkFlex options for some positions

How to Apply

Please submit a resume or CV and a cover letter describing relevant experience in data management, reporting, data analysis, and related systems or tools. Complete the Employment Application and be prepared to enter or attach Resume/Curriculum Vitae and Letter of Application/Cover Letter.

Application Timing

• Original posting date: October 28, 2026
• Posting close date: November 8, 2026
• Guaranteed consideration deadline: November 5, 2026

Requisition Details

• Job requisition number: R20155
• Pay grade: PS807

Opportunity Details

The candidate will be hired as a Data Analyst I. This is a term position that may have an opportunity for renewal.