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 Sr. Analyst, Data Science will develop and manage data and reporting solutions that support multiple business functions at AirLife, with a strong commercial focus including sales operations, pricing, marketing, and finance. This role will place emphasis on driving the technological capabilities of the data analytics teams, including applying machine learning, statistical modeling, and forecasting to commercial questions such as demand planning, pricing optimization, and churn risk. Key responsibilities will include reconciling distributor tracings, contracts, and GPO affiliations to ensure data accuracy, alignment, and compliance across systems. Beyond reporting, the role will drive process improvement initiatives through optimization and automation to enhance efficiency and data reliability across commercial workflows, using experimentation and measurement to validate what works.
POSITION QUALIFICATIONS
Knowledge, Skills, & Abilities:
- Applying machine learning, statistical modeling, and forecasting techniques to business problems.
- Designing experiments and measuring outcomes to validate analytical solutions.
- SQL data modeling in a relational database.
- Power BI report development and deployment.
- Understanding general business processes and how reporting/automation can contribute to accurate decision making and increased efficiency.
- Good analytical and problem-solving skills.
- Establishes good working relationships with business users and other analysts to support the overall AirLife reporting culture.
- Strong written and verbal communication skills
- Ability to work independently and as part of a team.
- Ability to work in a fast-paced environment, balancing multiple priorities, and ensuring high-quality outcomes.
- Knowledge of FDA and ISO guidelines is preferred.
Level of Experience:
- Experience building predictive models or forecasts in Python, R, or similar.
- Experience with Power BI, Power Query or other business intelligence tools.
- Experience with SQL, Python, R or other programming tools.
- Experience with project management lifecycles.
- Experience with general business processes, requirements gathering and report building.
Level of Education:
- Bachelor's degree or equivalent combination of education and experience.
- Bachelor's degree in information science, data management, computer science or related field preferred.
Travel:
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Develops and deploys machine learning models, statistical analyses, and forecasts to support commercial decision making, including demand planning, pricing optimization, and churn risk.
- Creates and maintains reporting for key business users, primarily through Power BI and Excel. This includes being part of the entire report development process from requirements gathering, data modeling, development, deployment and ongoing maintenance.
- Project manage key data analytics initiatives by leading requirements gathering, coordinating stakeholders, managing timelines, and delivering solutions.
- Find opportunities to help business users and increase efficiency throughout the business, including through automation and predictive analytics.
- Understand and communicate with business users about new and existing reports, general AirLife data and AirLife business processes.
- Works as an SME of our data and tools to help inform business users on options and best practices to support their functions.
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.
BENEFITS
AirLife offers a comprehensive benefits package, including medical, dental, and vision coverage, 401(k), paid time off, paid holidays, bereavement leave, Employee Assistance Program resources, and medical leave benefits, subject to applicable eligibility requirements. Certain positions may also be eligible for bonus, commission, or other incentive compensation.
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.