COMPANY DESCRIPTION

At AirLife, we are dedicated to improving the quality of every breath. Excellence with Every Breath is not just a tag line, but the way we work and take care of our customers. With a mindset to evolve, innovate, and grow, we are a premier manufacturer of the highest-quality and market-leading breathing consumables. This growth philosophy has positioned us to increase our global footprint and business reach, impacting even more people around the world. Our expanding family of the most trusted brands offers a product portfolio that spans the continuum of care from first responder to home care, with safety, patient comfort, and clinical performance in mind. Collective expertise allows us to provide quality products and experiences to our patients, customers, and our people. Our values of Customer first, Differentiate with our People, Bias for Action, Continuous Improvement and Accountability define who we are and how we work. Join us!

POSITION SUMMARY

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.

POSITION QUALIFICATIONS

Knowledge, Skills, & Abilities:

• Strong analytical and structured problem-solving skills.
• Working knowledge of predictive analytics concepts including forecasting, regression, classification, and trend analysis.
• Hands-on ability to build agentic AI workflows using LLMs, automation platforms, and API integrations
• Experience with Power BI, Tableau, SQL, or similar analytics and visualization tools.
• Working proficiency in Python; exposure to AutoML platforms or AI/ML frameworks preferred.
• Practical familiarity with generative AI tools (prompt engineering, retrieval-augmented generation, agent orchestration) and their business applications.
• Ability to evaluate manual workflows, quantify inefficiency costs, and design automation solutions.
• Ability to facilitate cross-functional workshops and translate AI capabilities into operational language for non-technical business owners.
• Proficient in Microsoft Excel (advanced formulas and pivot tables).
• Strong communication skills; able to translate technical insights into business requirements.
• High attention to data integrity and ethical AI usage.

Level of Experience:

• 1–3 years of experience in analytics, engineering, operations, supply chain, finance, or related field. Internship or project-based experience involving predictive analytics or automation preferred.

Level of Education:

• 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.

Travel:

• Minimal travel expected, as needed by business.

ESSENTIAL DUTIES AND 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.
• Facilitate the AI use case roadmap and help prioritize initiatives.
• Champion AI adoption and cultural readiness across the organization.
• Develop dashboards and reporting tools integrating predictive insights.
• Build and deploy automation workflows 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.

OTHER RESPONSIBILITIES

• Uphold and embody AirLife’s values in all aspects of work.
• Demonstrate accuracy and thoroughness in daily work; look for ways to improve and promote quality & safety.
• Inspire the trust of others; treat people with respect and dignity and embrace the value of diversity.
• Use time efficiently; perform job accurately, thoroughly, and conserve Company resources to improve profits.
• Contribute to building and maintaining a positive team environment.
• Assure all policies and guidelines are implemented and followed.

QUALITY POLICY

At AirLife, Quality is our promise. It is our commitment to customer satisfaction and our dedication to product excellence in an evolving global healthcare market. This promise is kept through a continuously improving and effective Quality Management System and compliance to Regulatory Requirements.

DEIA STATEMENT

At AirLife, we are committed to building a diverse workforce and an inclusive workplace that reflects the communities and customers we serve. We believe our philosophy on Diversity, Equity, Inclusion, and Advancement (DEIA) encourages excellence and equips us to serve an evolving global marketplace.

Please note: The responsibilities outlined above are not exhaustive and may evolve over time. The role holder may be required to undertake additional duties as reasonably expected to meet the needs of the company.