Operations Excellence Analyst - Automation & AI Enablement

ClearStar

United States

Remote

USD 90,000 - 120,000

Full time

14 days+
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Job summary

ClearStar, Inc. is seeking an Operations Excellence Analyst to drive enterprise process improvement by documenting how work gets done, standardizing performance measurement, and partnering with business units company-wide.

The role emphasizes process mapping, requirements gathering, data analysis, and stakeholder facilitation, with a working awareness of automation and AI-enabled tools. The focus is broad operational excellence, not specialized automation.

Qualifications

  • 3–5 years of experience in business analysis, process improvement or operations excellence.
  • Experience with process mapping, requirements gathering, and data analysis.
  • Strong analytical skills with proficiency in Excel and BI tools.
  • Excellent written and verbal communication across departments.
  • Bachelor’s degree in Business, Operations, or related field (or equivalent).

Responsibilities

  • Document current-state processes across the enterprise and identify opportunities for standardization.
  • Gather, validate and document business requirements for cross-functional initiatives.
  • Analyze operational data to identify trends and root causes for improvement.
  • Develop enterprise process standards, playbooks, and documentation.
  • Facilitate workshops and collaborate with technology teams to translate improvements into initiatives.
  • Track outcomes and report on efficiency, quality, and cost impact.

Skills

Process mapping
Requirements gathering
Data analysis
Stakeholder facilitation
Excel
BI tools

Education

Bachelor's degree in Business, Operations or related field

Tools

Power BI
Tableau

Job description

ClearStar, Inc. is seeking an Operations Excellence Analyst to drive enterprise process improvement by documenting how work gets done, standardizing performance measurement, and partnering with business units company-wide.

The role emphasizes process mapping, requirements gathering, data analysis, and stakeholder facilitation, with a working awareness of automation and AI-enabled tools. The focus is broad operational excellence, not specialized automation.

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