Sr. Analyst, Data Science (Quality)

AirLife•Grand Rapids, MI

About The Position

The Sr. Analyst, Data Science develops and manages data and reporting solutions for multiple AirLife business functions, with a strong commercial focus on sales operations, pricing, marketing, and finance. The role advances data analytics capabilities by applying machine learning, statistical modeling, and forecasting to business questions such as demand planning, pricing optimization, and churn risk. It also reconciles distributor tracings, contracts, and GPO affiliations to support data accuracy, alignment, and compliance across systems. Beyond reporting, the role drives process improvement through optimization and automation to enhance efficiency and data reliability across commercial workflows. The analyst uses experimentation and measurement to validate analytical solutions, partners with business users and other analysts, and serves as a subject matter expert on AirLife data and tools. Travel is less than 10%.

Requirements

Bachelor's degree or an equivalent combination of education and 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.
Ability to apply machine learning, statistical modeling, and forecasting techniques to business problems.
Ability to design experiments and measure outcomes to validate analytical solutions.
SQL data modeling in a relational database.
Understanding of business processes and how reporting and automation can support accurate decision-making and efficiency.
Good analytical and problem-solving skills.
Ability to establish working relationships with business users and other analysts.
Strong written and verbal communication skills.
Ability to work independently and as part of a team.
Ability to work in a fast-paced environment, balance multiple priorities, and ensure high-quality outcomes.

Nice To Haves

Bachelor's degree in information science, data management, computer science, or a related field.
Knowledge of FDA and ISO guidelines.

Responsibilities

Develop and deploy machine learning models, statistical analyses, and forecasts to support commercial decision-making, including demand planning, pricing optimization, and churn risk.
Create and maintain reporting for key business users, primarily using Power BI and Excel, covering requirements gathering, data modeling, development, deployment, and ongoing maintenance.
Project-manage data analytics initiatives by leading requirements gathering, coordinating stakeholders, managing timelines, and delivering solutions.
Identify opportunities to improve business efficiency, including through automation and predictive analytics.
Communicate with business users about reports, AirLife data, and business processes.
Serve as a subject matter expert on AirLife data and tools, advising business users on options and best practices.
Reconcile distributor tracings, contracts, and GPO affiliations to support data accuracy, alignment, and compliance across systems.
Uphold AirLife’s values and policies; perform work accurately and thoroughly, promote quality and safety, use company resources efficiently, and contribute to a positive team environment.

Benefits

Medical coverage
Dental coverage
Vision coverage
401(k)
Paid time off
Paid holidays
Bereavement leave
Employee Assistance Program resources
Medical leave benefits
Certain positions may be eligible for bonus, commission, or other incentive compensation.