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Operations Support Analyst
Job in
Shawnee, Johnson County, Kansas, 66203, USA
Listed on 2026-03-01
Listing for:
The Jonus Group
Full Time
position Listed on 2026-03-01
Job specializations:
-
IT/Tech
Data Analyst, Data Entry, IT Business Analyst -
Business
Data Analyst
Job Description & How to Apply Below
Overview
Operations Support Analyst | Hybrid 2 days in office. Our client is a fast growing insurance broker who is seeking a highly organized, systems-driven Operations Support Analyst to support internal workflows, system functionality, reporting accuracy, vendor oversight, and staff training initiatives. This role supports operations, systems, training, and process improvement, ideal for someone who enjoys making processes cleaner, smarter, and more efficient.
If you’re someone who naturally sees workflow gaps, loves documentation, enjoys training others, and thrives in structured environments where trust and data integrity matter, this role is for you.
- Learn and support internal systems (including Walt) and serve as a go-to internal resource
- Test and validate system updates and automation rules
- Identify operational gaps and recommend improvements
- Maintain internal forms, workflow tools, and documentation
- Develop SOPs, FAQs, guides, checklists, and training videos
- Support onboarding and ongoing training initiatives
- Prepare recurring operational reports with high accuracy
- Validate data integrity and analyze trends
- Manage vendor oversight (RSP and operational partners)
- Train and audit vendor performance
- Support cross-functional initiatives across underwriting, service, and IT
- Maintain user permissions and safeguard sensitive data
- High trust position with visibility across departments
- Blend of systems, training, reporting, and vendor management
- Opportunity to shape workflows, not just follow them
- Exposure to operational leadership
- Operations, systems support, or business analysis experience
- Strong Excel (Power BI a plus)
- Comfortable training staff and presenting clearly
- Detail-oriented and process-driven
- Strong discretion handling confidential data
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