System Analyst I

LSPediaFarmington Hills, MI
Onsite

About The Position

The Systems Analyst I is an entry-level to early-career role responsible for supporting system analysis, configuration, and customer-facing solution delivery activities. This position works closely with Customer Success Managers, Project Managers, and senior analysts to help document requirements, support implementations, troubleshoot basic system issues, and ensure customers are successfully using LSPedia solutions. This role is ideal for candidates building foundational experience in SaaS platforms, customer success operations, and regulated environments.

Requirements

  • Bachelor’s degree in Information Systems, Computer Science, Business Administration, or a related field (or equivalent experience).
  • 1–2 years of experience in systems analysis, application support, customer support, or IT operations.
  • Strong documentation, communication, and organizational skills.
  • Willingness to learn SaaS platforms and customer-facing systems.

Nice To Haves

  • Exposure to SaaS platforms, CRM systems, or ERP systems.
  • Basic understanding of APIs, data flows, or system integrations.
  • Experience supporting customers or internal business users.
  • Experience with setting up, testing, and maintaining AI features.
  • Interest in working in regulated industries such as healthcare or life sciences.

Responsibilities

  • Assist in gathering and documenting business and system requirements under guidance from senior analysts or project leads.
  • Support configuration and setup of customer environments, modules, and user access.
  • Participate in analysis of existing workflows and help identify opportunities for process or system improvements.
  • Create and maintain basic system documentation, including workflows, user guides, and configuration notes.
  • Support testing activities including unit testing and user acceptance testing (UAT) execution.
  • Troubleshoot and resolve low-to-moderate complexity system issues, escalating as needed.
  • Assist with customer onboarding, training sessions, and post-implementation support activities.
  • Work closely with Customer Success Managers to support customer inquiries and operational requests.
  • Ensure adherence to internal SOPs, data security standards, and compliance requirements.
  • Assist with AI initiatives and documentation/testing of new AI related features.
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