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Data Services Coordinator

Remote / Online - Candidates ideally in
Lawrence, Douglas County, Kansas, 66045, USA
Listing for: University of Kansas
Remote/Work from Home position
Listed on 2026-02-13
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Position Overview

Analytics, Institutional Research, & Effectiveness (AIRE) at the University of Kansas brings together analytical and technical staff to support KU's data strategy and data-informed decision making. The Data Services Coordinator plays a key role in supporting enterprise data integration and data management initiatives within the central data office. This position is responsible for coordinating data projects end-to-end, working closely with business stakeholders, data engineers, and data modelers to ensure that business requirements are translated into high-quality data solutions.

The role involves requirements gathering, coordinating testing, assisting with migration to production, and providing ongoing support and troubleshooting. The Data Services Coordinator will work closely with cross-functional teams to ensure scalable, secure, and reliable data solutions and contribute to KU's mission of fostering analytics and data governance.

KU is not able to provide immigration sponsorship for this position.

Due to complex state employment laws, the University of Kansas may be unable to hire fully remote workers for this position outside of Kansas. Specifically, we cannot currently offer employment to candidates residing in the following states:
California, Delaware, Idaho, and Minnesota. We appreciate your understanding and invite interested individuals from eligible states to apply.

Job Description Project Coordination (30%)
  • Coordinate data integration projects and act as a liaison between business users, data engineers, and technical teams.
  • Planning project tasks, timelines, and deliverables.
Requirements Gathering (30%)
  • Work with functional teams to capture and document system and data requirements.
  • Translate business needs into clear technical specifications for data modeling and engineering teams.
  • Partner with data modelers to validate data structures and ensure alignment with business requirements.
Testing & Quality Assurance (20%)
  • Develop and execute test cases to validate data accuracy and completeness.
  • Document test results and coordinate user acceptance testing (UAT) with functional teams.
  • Track and manage defect resolution throughout the testing cycle.
Migration & Deployment (5%)
  • Coordinate with technical teams to schedule data migration activities to production environments.
  • Ensure readiness of functional teams for production rollout.
Support & Troubleshooting (5%)
  • Assist in identifying, diagnosing, and resolving data-related issues in collaboration with technical teams.
  • Provide post-implementation support and ensure proper documentation of resolutions.
Other Duties as Assigned (10%)

Required Qualifications
  • Bachelor's degree in Information Systems, Data Science, Business, or related field.
  • Three (3) years of experience supporting data services initiatives, integration projects, or performing business systems analysis.
  • Three (3) years of experience working with enterprise software systems and system integrations, including testing, validation, and issue resolution.
  • Three (3) years of experience working with structured data file formats such as XML and JSON.
  • Strong analytical, organizational, and problem-solving skills, with the ability to manage multiple work streams as evidenced by application materials.
  • Excellent communication skills, with the ability to collaborate across technical and functional teams as evidenced by application materials.
  • Proven ability to document business and technical requirements, test cases, and outcomes with accuracy and attention to detail as evidenced by application materials.
  • This position requires a formal degree in the cited discipline area(s) to ensure that candidates have advanced knowledge, analytical skills and professional competencies necessary to perform the duties of the position. The level of degree is commonly recognized as the standard qualification for similar roles in the public and private sector, ensuring that the university remains competitive with industry aligned practices, enhances collaboration with external partners, and supports the delivery of services and programs that meet professional and market-driven expectations.

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