Hybrid Finance Platform Ops & AI Automation Analyst

e.biT Consulting

Chicago (IL)

Hybrid

USD 110,000 - 150,000

Full time

12 hours ago
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Job summary

e.biT Consulting seeks a Platform Operations & Automation Analyst Consultant to lead business-facing support for Finance Product Area applications, partnering with Product Managers, Engineers and AI agents to automate recurring work. The role focuses on data quality, self-service AI skills, and scalable workflows to reduce manual effort and improve product delivery.

The ideal candidate will triage, investigate root causes, and drive automation via code fixes, data-quality controls, and

Qualifications

  • 2+ years as a BA for custom development or vendor implementations.
  • Hands-on experience using generative AI tools to automate work.
  • Strong SQL and data analysis across multiple systems.
  • Experience with Agile methodologies and effective communication.

Responsibilities

  • Serve as the first contact for business-facing support across Finance Product Area applications.
  • Identify patterns in recurring support requests and quantify their cost.
  • Build and improve AI skills and agents with human review before data-changing actions.
  • Coordinate cross-team data remediation and validate changes with owning teams.
  • Monitor data flows and hand off true production issues as Jira stories.
  • Support UAT and regression testing using AI to accelerate planning and execution.

Skills

SQL & data analysis
Generative AI tools
Agile methodologies
Finance domain knowledge
Communication skills

Tools

Jira

Job description

e.biT Consulting seeks a Platform Operations & Automation Analyst Consultant to lead business-facing support for Finance Product Area applications, partnering with Product Managers, Engineers and AI agents to automate recurring work. The role focuses on data quality, self-service AI skills, and scalable workflows to reduce manual effort and improve product delivery.

The ideal candidate will triage, investigate root causes, and drive automation via code fixes, data-quality controls, and

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