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Robert Half

Data Analyst

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What they do

A Data Analyst develops computer programs to analyze large customer information databases for companies and organizations. Analyzes data to identify patterns and provide information relevant to a particular business, industry or field; analysis may be used for marketing, or to detect fraud in financial transactions, or for research. Develops computer programs to protect confidential customer information.

$86,782 / year median in Iowa

+6% projected growth

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Job Description

We are looking for an experienced IT Data Analyst to join a Contract engagement supporting enterprise reporting and analytics efforts in Cedar Rapids, Iowa. In this role, you will work closely with business and technical partners to turn reporting needs into reliable, data-driven solutions that improve insight and decision-making. The ideal candidate brings strong analytical ability, hands-on data validation experience, and the communication skills needed to guide requirements from discovery through testing and delivery.
Responsibilities:
  • Collaborate with business partners to capture reporting objectives, clarify analytical needs, and confirm that requirements are complete and actionable.
  • Convert business goals into structured data specifications that support report development, analytics design, and downstream technical work.
  • Examine datasets from multiple sources to identify data quality concerns, inconsistencies, and opportunities to strengthen reporting accuracy.
  • Create and carry out validation and testing activities to confirm that reporting outputs are dependable, accurate, and aligned with business expectations.
  • Perform data mapping, trace data movement across systems, and define relationships among source elements to support analysis and reporting solutions.
  • Assist with user acceptance testing by documenting issues, coordinating follow-up, and helping drive timely resolution of defects or data discrepancies.
  • Support enterprise analytics initiatives by contributing insights that improve reporting processes, data usability, and overall decision support.
  • Work with cross-functional teams to troubleshoot reporting and data-related challenges in both relational and cloud-based environments.