Lean CI Analyst
Job Description
Job Description
Position Summary
The Lean Continuous Improvement (CI) Analyst supports operational excellence initiatives by designing, developing, and maintaining dashboards, applications, and data analytics solutions. This role leverages Power Apps and other digital tools to provide actionable insights that drive continuous improvement and operational performance.
Key Responsibilities- Design, develop, and maintain interactive dashboards for real-time visibility into operational metrics.
- Build and enhance custom applications using Power Apps and Power Automate to streamline processes.
- Analyze complex operational data to identify trends, opportunities, and root causes of performance gaps.
- Collaborate with Lean CI, IT, and business teams to implement technology solutions.
- Provide training and support to end-users on dashboards, applications, and analytical tools.
- Communicate findings and recommendations effectively to both technical and non-technical audiences.
Qualifications & Skills- Bachelor’s degree in Industrial Engineering, Data Analytics, Information Systems, Computer Science, or related field.
- 2–5 years of experience in continuous improvement, data analytics, or application/dashboard development.
- Proficiency in Microsoft Power Apps, Power BI, Power Automate, and Excel.
- Experience with programming languages such as SQL, Python, R, JavaScript, or DAX.
- Strong analytical, problem-solving, and critical-thinking skills.
- Familiarity with Lean, Six Sigma, or other CI methodologies preferred.
- Excellent communication and stakeholder management skills.
Preferred Technical Tools & Platforms- Microsoft Power Platform: Power Apps, Power BI, Power Automate, Power Virtual Agents
- Data management and visualization: SQL Server, Azure Data Services, Tableau, Qlik
- Programming and scripting: Python, R, JavaScript, DAX, VBA, C++, C#, VB, Java, HTML
- Cloud and integration platforms: Azure, SharePoint, Teams, API integrations
- Workflow automation and process improvement tools
Key Competencies- Data-driven decision making
- Process improvement mindset
- Technical proficiency in digital tools and programming
- Collaboration and cross-functional teamwork
- Continuous learning and innovation
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