Digital Process & AI Analytics Analyst

SunMed Group Holdings, LLC dba AirLife • Grand Rapids, MI

2d

About The Position

The Digital Process & AI Analytics Analyst is an entry-level role responsible for supporting the modernization of business processes across AirLife through intelligent automation, predictive analytics, and practical AI applications. This role partners cross-functionally to evaluate manual and Excel-based workflows and transform them into scalable, data-driven solutions while ensuring compliance within a regulated medical device manufacturing environment.

Requirements

• Strong analytical and structured problem-solving skills.
• Working knowledge of predictive analytics concepts including forecasting, regression, classification, and trend analysis.
• Experience with Power BI, Tableau, SQL, or similar analytics tools.
• Familiarity with generative AI tools and business applications.
• Ability to evaluate manual workflows and identify automation opportunities.
• Proficient in Microsoft Excel (advanced formulas and pivot tables).
• Strong communication skills; able to translate technical insights into business recommendations.
• High attention to data integrity and ethical AI usage.
• 0–3 years of experience in analytics, engineering, operations, supply chain, finance, or related field. Internship or project-based experience involving predictive analytics or automation preferred.
• Bachelor’s degree in Engineering, Data Analytics, Supply Chain, Information Systems, Finance, Computer Science, or related field required. Certifications or coursework in AI, analytics, Lean, or Six Sigma are a plus.

Nice To Haves

• Exposure to Python, AutoML platforms, or AI/ML tools preferred.
• Certifications or coursework in AI, analytics, Lean, or Six Sigma are a plus.

Responsibilities

• Partner with stakeholders to document and analyze current manual and Excel-based processes.
• Identify opportunities to improve efficiency, reduce errors, and enhance decision-making through automation and predictive analytics.
• Develop dashboards and reporting tools integrating predictive insights.
• Assist in building automation workflows using enterprise-approved tools.
• Support development of forecasting and predictive models for demand planning, inventory optimization, and quality monitoring.
• Validate and improve data quality across systems.
• Provide training and support to business users on newly deployed tools.
• Measure and report impact of implemented improvements including cycle time reduction and working capital improvements.
• Ensure solutions align with regulatory and Quality Management System requirements.
• Additional duties as assigned.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level