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Business Support - Other
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PRI00000730 Requisition #
Thanks for your interest in the Information Management Analyst position. Unfortunately this position has been closed but you can search our 199 open jobs by clicking here.
  • Classification: Advisor
  • Union: Exempt
  • Unit and Program: Health Link
  • Primary Location: Southport Tower
  • Location Details: As Per Location
  • Temporary Employee Class: Temp F/T Benefits
  • FTE: 1.00
  • Posting End Date: 02-APR-2026
  • Date Available: 20-APR-2026
  • Temporary End Date: 20-APR-2027
  • Hours per Shift: 7.75
  • Length of Shift in weeks: 2
  • Shifts per cycle: 10
  • Shift Pattern: Days
  • Days Off: Saturday/Sunday
  • Minimum Hourly Salary: $30.90
  • Maximum Hourly Salary: $53.08
  • Vehicle Requirement: Not Applicable
Required Qualifications:

Degree or diploma in information management, information technology, health informatics, information science, business systems, or a related field, or an equivalent combination of education and experience. Demonstrated experience working with, investigating, and documenting functionality of content management systems. Experience coordinating with vendors and internal stakeholders to resolve system or data issues. Strong documentation, analytical, troubleshooting, and stakeholder communication skills. Working understanding of modern analytics environments and data pipelines, with the ability to support data analytics teams. Familiarity with governance, privacy, and compliance considerations related to healthcare or public‑facing digital information.

Additional Required Qualifications:

As required.

Preferred Qualifications:

Experience contributing to business metadata, data dictionaries, or system documentation such as ERDs. Exposure to content platforms and web standards sufficient to review designs and provide business feedback. Exposure to data querying or investigation tools is an asset but not a requirement. Certification in ITIL, Business Analysis, or Project Management. Experience supporting platform, taxonomy, or data‑model evolution in complex organizations.

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