Senior Specialist, Data Engineering and Analytics

Within Small Molecule Science & Technology (SM S&T), we are strengthening the use of data and analytics to improve technical operations, process understanding, and business performance. The Senior Specialist, Data Engineering and Analytics will support the execution of SM S&T data and analytics priorities through delivery of high-quality data engineering, data preparation, and analytics solutions.

Reporting to the Director of Data Engineering and analytics, this individual contributor role will work across SM S&T, Digital Manufacturing Division, Digital CMC, MPI, IT, and Global Pharmaceutical Operations teams to improve access to manufacturing and process data, support analytics deployment, and enable broader use of digital and analytical capabilities. The role is well suited to a technically strong contributor who can execute independently, solve complex problems within defined priorities, and collaborate effectively across business and technical teams.

This role requires a strong technical foundation, attention to detail, and the ability to translate defined business needs into reliable, scalable, and compliant data and analytics outputs.

Responsibilities

• Execute data engineering and analytics deliverables in support of SM S&T priorities and business needs
• Build, maintain, and enhance data pipelines, data transformations, curated datasets, and analytical outputs
• Support delivery of dashboards, reporting, and analytical tools that improve visibility, monitoring, and decision support
• Investigate data issues and partner with relevant teams to improve data quality, completeness, and usability
• Partner with scientists, engineers, manufacturing users, and digital teams to clarify requirements and support solution delivery
• Translate defined business questions into data requirements, logic, and fit-for-purpose outputs
• Support testing, implementation, and refinement of analytics and data solutions based on user needs and feedback
• Contribute to effective communication and coordination across matrixed teams
• Improve accessibility and usability of manufacturing and process data through preparation, organization, and contextualization of datasets
• Support efforts that enable end users to apply data more effectively in investigations, process monitoring, and routine decision-making
• Document data structures, business logic, and technical approaches to improve sustainability and reuse
• Support deployment and user adoption of analytics tools, data assets, and reporting capabilities
• Provide technical support, user guidance, and knowledge sharing where appropriate
• Identify opportunities to standardize analytical methods, data structures, and ways of working
• Contribute to continuous improvement efforts that strengthen efficiency, scalability, and user experience
• Manage assigned deliverables with attention to timelines, dependencies, and quality expectations
• Escalate risks, issues, and blockers promptly and contribute to resolution planning
• Ensure work is performed in a manner consistent with quality, compliance, and documentation expectations in a regulated environment

Required

• Degree (BSc/BEng/Masters) or higher in Engineering, Pharmaceutical Sciences, Data Science, Information Technology, Computer Science, or a related technical discipline with five (5) years of required experience (MS with 3).
• Relevant experience in data engineering, analytics, manufacturing systems, technical operations, or related technical roles
• Working knowledge of manufacturing, process, or operational data in pharmaceutical, biotech, or similarly regulated environments
• Experience with data preparation, transformation, pipeline development, analytics tools, dashboards, or reporting solutions
• Strong analytical, problem-solving, and collaboration skills
• Ability to work effectively across business and technical teams in a matrixed environment
• Demonstrated ability to manage multiple assignments and deliver high-quality work with appropriate guidance

Preferred

• Experience with platforms such as DataLynx, SEEQ, MPI, MES, historians, or similar technologies
• Travel to manufacturing sites may be required, estimated at <10% of time, Business Informatics, Business Informatics, Business Intelligence (BI), Business Process Improvements, Business Requirements Analysis, Collaboration, Dashboard Reporting, Data Aggregation, Database Administration, Data Engineering, Data Management, Data Modeling, Data Reporting, Data Visualization, Delivery Management, Design Applications, Information Management, Knowledge Sharing, Matrix Management, Process Analytics, Product Delivery, Software Development, Software Development Life Cycle (SDLC), Solution Deployment, Solutions Delivery {+ 4 more}

We aspire to be the premier research-intensive biopharmaceutical company. We’re at the forefront of research to deliver innovative health solutions that advance the prevention and treatment of diseases in people and animals. Join our company and be part of a team that uses the power of leading-edge science to save and improve lives around the world., Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.