Iowa’s Integrated Data System for Decision-Making (I2D2) seeks an exceptionally detail-oriented Data Quality Specialist (Data Analyst II) to join our team. Reporting to the Data and Analytics Manager, this role serves as a senior individual contributor with primary responsibility for executing the technical components of our data lifecycle within a secure, offline environment. In this position, you will lead efforts to restructure, clean, standardize, and document complex datasets across multiple platforms. In addition to data maintenance, you will transform and compute variables and perform final data preparation to ensure high-quality data assets ready for downstream analytical use. This is a technical data management role focused on ensuring the foundational integrity and health of data, rather than generating business insights. The ideal candidate is a self-directed problem solver who thrives on precision, can manage complex data tasks with minimal supervision, and is eager to further develop architectural decision-making skills. The interdisciplinary team at Iowa’s Integrated Data System for Decision-Making (I2D2) includes faculty, professional staff, postdoctoral researchers, and graduate and undergraduate students who collaborate closely with government agencies and statewide stakeholders. Together, they provide actionable data to inform decision-making and advance system-level coordination across early childhood services. I2D2 transforms state administrative data to answer critical questions about system performance and to strengthen coordination and effectiveness for Iowa families. We are a motivated, action-oriented team that values strong communication and collaboration. Our work environment blends virtual and in-person engagement, fostering flexibility and supporting a healthy work–life balance. We prioritize mutual support, celebrate one another’s successes, and intentionally leverage each team member’s unique strengths. Check out our I2D2 website at https://i2d2.iastate.edu/
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Job Type
Full-time
Career Level
Mid Level