Data Engineer I

5w1 month ago

Novo Nordisk

Clayton, US · Full-time · $70,000 – $95,000

About this role

At Novo Nordisk, we are helping to improve the quality of life for millions of people worldwide. For more than 100 years, we have led the way in diabetes care, and our Clayton, NC facility produces active pharmaceutical ingredients for innovative oral products.

In this role, you will execute advanced data analysis projects supporting site data and digitalization efforts with little to no guidance. You will implement predictive modeling, real-time monitoring, and statistical process control using front-end applications to drive data-driven decisions.

You will collaborate with cross-functional teams to design and build data pipelines for cleaning, transforming, and combining datasets from a wide variety of sources. Your work will support manufacturing, business, and project departments with process understanding and systematic problem solving.

Joining Novo Nordisk means becoming part of a global network of manufacturing professionals passionate about what they do. You will find opportunities, resources, and mentorship to help grow and build your career in a state-of-the-art 825,000-square-foot facility.

Requirements

Experience executing advanced data analysis projects with little to no guidance
Proficiency in predictive modeling, forecasting, and statistical process control techniques
Ability to design and build data pipelines for cleaning, transforming, and combining datasets
Experience with front-end applications for data visualization and business control systems integration
Strong collaboration skills to work with cross-functional teams in a manufacturing environment
Familiarity with AMS (Advanced Manufacturing Solutions) or similar systems is a plus
Proactive self-development and initiative to understand site process control and data management systems

Responsibilities

Execute projects to develop, validate, implement, and maintain analysis tools supporting data-driven decisions using established methodologies
Implement advanced predictive modeling, forecasting, real-time monitoring, business control systems integration, and statistical process control optimization using front-end applications
Identify and ideate improvement and optimization projects based on stakeholder needs, defining problem formulation, objectives, and scope
Collaborate with cross-functional teams to design and build data pipelines for cleaning, transforming, and combining datasets from diverse sources
Support manufacturing, business, and project departments with process understanding, analyses, and systematic problem solving
Train stakeholders on implemented AMS solutions and maintain those solutions when process changes or new requirements arise
Own self-development and initiative to understand site process control systems and data management systems