Sr. Analyst, Data Science (Quality)

AirLife•Grand Rapids, MI

About The Position

The Sr. Analyst, Data Science will develop and manage data and reporting solutions supporting multiple business functions at AirLife, with a strong commercial focus on sales operations, pricing, marketing, and finance. The role emphasizes advancing the data analytics teams’ technological capabilities by applying machine learning, statistical modeling, and forecasting to commercial questions such as demand planning, pricing optimization, and churn risk. It also involves reconciling distributor tracings, contracts, and GPO affiliations to ensure data accuracy, alignment, and compliance across systems. Beyond reporting, the role drives process improvement through optimization and automation to improve efficiency and data reliability across commercial workflows, using experimentation and measurement to validate solutions. The analyst develops and maintains reports, manages analytics initiatives, works with business users, and serves as a subject matter expert on AirLife data and tools. The position also requires upholding company values, promoting quality and safety, and following applicable policies and guidelines.

Requirements

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.
Knowledge of SQL data modeling in a relational database.
Ability to develop and deploy Power BI reports.
Understanding of general 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.
Bachelor's degree or an equivalent combination of education and experience.
Travel less than 10%.

Nice To Haves

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

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 through Power BI and Excel, spanning 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 support business users and increase efficiency, including through automation and predictive analytics.
Understand and communicate with business users about new and existing 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.
Uphold and embody AirLife’s values in all aspects of work.
Demonstrate accuracy and thoroughness, and look for ways to improve and promote quality and safety.
Treat people with respect and dignity and embrace diversity.
Use time efficiently, perform work accurately and thoroughly, and conserve company resources.
Contribute to a positive team environment.
Ensure policies and guidelines are implemented and followed.

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.