Senior Specialist, Data Engineering and Analytics

Merck & Co.; Rahway (NJ); Hybrid; USD 117.000 - 184.000; Vollzeit

Zusammenfassung

Merck & Co. in Rahway, NJ is seeking a Senior Specialist, Data Engineering and Analytics to execute high-quality data pipelines, analytics, and reporting across multiple stakeholders in a regulated environment.

The role requires strong technical fundamentals, attention to detail, and the ability to translate business needs into scalable data solutions, working with scientists, engineers, and digital teams.

Qualifikationen

• Degree (BSc/BEng/Masters) or higher in Engineering, Pharmaceutical Sciences, Data Science, IT, CS, or related technical discipline with five years of required experience.
• Experience in data engineering, analytics, manufacturing systems, or related roles.
• Strong collaboration and problem-solving skills in a matrixed environment.

Aufgaben

• Execute data engineering and analytics deliverables for SM S&T priorities.
• Build and maintain data pipelines, transformations, datasets, and analytics outputs.
• Support dashboards, reporting, and analytics tools to improve visibility and decision support.

Kenntnisse

Data Engineering

Data Analytics

BI

Dashboard Reporting

Data Visualization

Ausbildung

BSc/Eng/Masters in a technical discipline

Tools

DataLynx

SEEQ

MPI

Jobbeschreibung

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 & 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

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}

US and Puerto Rico Residents Only

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities.

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.--As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.- For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

EEOC Know Your Rights

EEOC GINA Supplement

We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively.

Learn more about your rights, including under California, Colorado and other US State Acts

Location

The primary location for this posting is:

USA - New Jersey - Rahway

Compensation

Where required by law, the compensation range for this role is provided below.

The salary range for the primary location of this role is:

$117,000.00 - $184,200.00

This range reflects the Company's reasonable expectation of the base salary applicable to this role at the time of posting. An employee's position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs. The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.

We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits .

Additional Locations

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.

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

Requisition ID: R421442