Senior Specialist, Data Engineering and Analytics

Merck; West Point (PA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Merck is seeking a Senior Specialist, Data Engineering and Analytics to advance data and analytics initiatives across SM S&T and related teams. The role emphasizes building scalable data pipelines, transforming data, and delivering analytical insights to improve manufacturing processes.

The position requires strong technical skills, collaboration across matrixed teams, and the ability to translate business needs into reliable data outputs in a regulated environment.

Qualifications

• Bachelor’s degree or higher in a technical field and 5 years of relevant experience
• Experience in data engineering, analytics, or manufacturing data environments
• Working knowledge of regulated/validated data in pharma/biotech
• Experience with data pipelines, transformations, dashboards, or reporting

Responsibilities

• Deliver data engineering and analytics outputs to SM S&T priorities
• Build and maintain data pipelines, curated datasets, and analytics outputs
• Support dashboards and reporting to improve visibility and decision making
• Collaborate with scientists, engineers, and digital teams to clarify requirements
• Translate business questions into data requirements and outputs
• Support testing, deployment, and refinement of analytics solutions
• Document data structures and approaches for sustainability and reuse
• Assist in deployment and user adoption of analytics tools

Skills

Data engineering

Analytics

SQL

Python

Education

Bachelor’s degree in Engineering, Pharmaceutical Sciences, Data Science, IT, CS

Tools

DataLynx

SEEQ

MPI

Job description

Job Description

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.

Within Small Molecule Science &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

Qualifications

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

Required Skills:

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}

Additional location(s):

Please note the salary range above applies to the Primary Location of the position. Where a role has other listed locations, different compensation guidelines may apply. You may find the salary ranges for additional locations below. If the salary range is not listed for the location you are applying to, our Talent Acquisition team will provide further information to you relevant to your location.

Additional location(s) Compensation Information:

San Francisco Residents Only:

We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only:

We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance

Employee Status:

Regular

Relocation:

No relocation

VISA Sponsorship:

No

Travel Requirements:

10%

Flexible Work Arrangements:

Hybrid

Shift:

1st - Day

Valid Driving License:

No

Hazardous Material(s):

n/a

Job Posting End Date:

10/30/2026

***A job posting is effective until 11:59:59PM on the day **BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Requisition ID:

R421442