Data Engineer - API

About the Department
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. Being part of Novo Nordisk allows our employees to embark on life-changing careers, and the opportunity to help improve the quality of life for millions of people around the world.
In NC, we operate three pharmaceutical manufacturing facilities that are responsible for fulfilling different steps in our injectable and oral treatment supply chains. Our newer Active Pharmaceutical Ingredients (API) facility in Clayton, NC sits on 825,000 square-feet of state-of-the-art equipment, and houses the Fermentation, Recovery and Purification in the production of ingredients for Novo Nordisk's innovative oral products. At API, you'll join a global network of manufacturing professionals who are passionate about what they do.
What we offer you:

• Leading pay and annual performance bonus for all positions
• All employees enjoy generous paid time off including 14 paid holidays
• Health Insurance, Dental Insurance, Vision Insurance - effective day one
• Guaranteed 8% 401K contribution plus individual company match option
• Family Focused Benefits including 14 weeks paid parental & 6 weeks paid family medical leave
• Free access to Novo Nordisk-marketed pharmaceutical products
• Tuition Assistance
• Life & Disability Insurance
• Employee Referral Awards

At Novo Nordisk, you will find opportunities, resources, and mentorship to help grow and build your career. Are you ready to realize your potential? Join Team Novo Nordisk and help us make what matters.
The Position
Responsible for executing advanced data analysis projects that support site data and digitalization efforts with respective complexity (according to the technical development pathway) and with little to no guidance from the manager. Responsible for providing data-based insights as business and manufacturing intelligence to an end-consumer, business decision-maker.
Relationships
Manager.
Essential Functions

• Execute projects with the aim of developing, validating, implementing, and maintaining analysis tools to support data-driven decisions using established methodologies
• Implement advanced predictive modeling/forecasting, real-time monitoring and business control systems integration, statistical process control and optimization techniques, using front-end applications
• Implementing advanced optimization algorithms for complex production processes, machine learning for anomaly detection and predictive maintenance, advanced control strategies for quality improvements, inventory management using predictive analytics and demand forecasting
• Identify and ideate improvement-optimization projects using input from stakeholder needs. Define problem formulation, objectives, and scope with stakeholders
• Collaborate with cross-functional teams to support the design and building of data pipelines for cleaning, transforming, and combining datasets from wide variety of data sources
• Support manufacturing, business, and project departments with process understanding, analyses, and systematic problem solving
• Remain current with industry trends, identifying opportunities, developing roadmaps and participating/conducting Proof of Concept
• Present initiatives & information accurately & explain industry jargon in a clear manner for end-users
• Own self development & initiative to understand the site process control systems, data management systems, and differing data sources (PCS, MES, SAP, PI Historian)
• Support audits & inspections as SME for specified AMS solutions
• Utilize the appropriate cLEAN® tools within the main areas of Systematic Problem Solving, process improvement, & project management
• Operate within compliance with a quality mindset that focuses on risk management & mitigation
• Support Corporate, PS AM, local IT, & local stakeholder initiatives & projects
• Adhere to the Change Management standards and always manage assignments within compliance with a Quality Mindset that focuses on risk management and mitigation. Utilize the appropriate cLEAN® tools when relevant
• Follow all safety & environmental requirements in the performance of duties
• Other duties as assigned

Physical Requirements
Ability to work in an open office environment with the possibility of frequent distraction. Ability to travel up to 10% of the time. (% can change on a case-by-case basis based on the role.)
Qualifications

• Bachelor's degree in engineering, or relevant field of study from an accredited university required
  • May consider an associate's degree in engineering technology or a relevant field of study from an accredited university with a minimum of seven (7) years of Engineering experience required, preferably in a process-based manufacturing, utility and/or packaging systems
  • May consider a High School Diploma (GED) with nine (9) years of Engineering or related field experience required, preferably in a process-based manufacturing, utility and/or packaging systems
• Minimum of five (5) years of Engineering experience in process-based manufacturing, utility, &/or packaging systems required
• Knowledgeable in the following applications or technologies: MES, PCS, PI Historian, Data Analytics and Visualization Platforms (Alteryx, Tableau, PowerBI)
• Proven expertise, (e.g., project management) in planning/organization & project execution, follow-up, & completion required
• Ability to translate high level direction into actionable tasks that deliver results using cLEAN® / Six Sigma methodologies required
• Pharmaceutical industry experience (GxP) preferred
• Data Visualization with Tableau required
• Experience in applying systematic and rigorous analytics methods to improve data-related business processes required
• Strong engineering knowledge, demonstrating ability to handle most situations independently and with minimal guidance required
• Ability to identify better practice and create improvements in methods, techniques, approaches, etc. required
• Proven expertise in Windows based operating systems and associated applications required
• Proven expertise in system interfacing and integration preferred
• Experience in Project Management, Batch Reporting, Database Tools, Self-analytic BI (Business Intelligence) Tools, Data Modelling Techniques, and Machine Learning required

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.
At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we're life changing.
Novo Nordisk is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, protected veteran status or any other characteristic protected by local, state or federal laws, rules or regulations.
If you are interested in applying to Novo Nordisk and need special assistance or an accommodation to apply, please call us at 1-855-411-5290. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.