Senior Business Analyst - Automation, Analytics & AI at Merck

Job Description:

The Senior Business Analyst is a pivotal role within our organization, responsible for translating automation, analytics, and AI initiatives at cluster and country level into practical, scalable solutions that support clinical trial operations. The role plays a critical part in driving operational efficiency, quality, and compliance through the identification, design, and delivery of data‑driven and digital solutions.

The Senior Business Analyst contributes to and leads business case development, performs data analysis, and develops dashboards, reports, and workflow documentation. The role supports solution testing, training, and end‑user adoption, ensuring that implemented solutions deliver tangible business value and are sustainably embedded in day‑to‑day operations.

Reporting to the Cluster Head, Executive Director for Clinical Research (CRD), the Senior Business Analyst partners closely with cluster and country leadership teams. The role ensures solutions are compliant, effectively adopted, and continuously improved, while supporting alignment, scalability, and coherence across regional and global initiatives.

What you will do:

• Lead development of business cases including problem definition, options analysis, solution scope, resource/cost estimates, benefits/KPIs, risks, and compliance considerations

• Lead and drive the end-to-end delivery of country-level tools and solutions (e.g., dashboards, workflow automation, Robotic Process Automation (RPA), AI-assisted processes) using appropriate platforms and methods

• Translate business requirements into functional/technical specifications and oversee build, testing, validation, and controlled deployment; ensure security, privacy, and quality

• Conduct life cycle management of the developed solutions, including rollout, maintenance and disposal, as required

• Develop or oversee development of analytics and visualization (e.g., operational dashboards, performance metrics) to drive data-informed decision-making

• Define and track success metrics (e.g., time-to-deploy, cycle-time reduction, accuracy/data quality, adoption/satisfaction, cost avoidance/FTE savings) and embed learning loops for continuous improvement

• Ensure compliance with ICH GCP, company policies and local regulations; support change management through training materials and end‑user training, and collaborate closely with country, regional and headquarters stakeholders

• Lead change management for local deployments, including training plans, communications, and stakeholder engagement; contribute to capability uplift in data literacy and digital ways of working

Your profile:

• Bachelor’s degree in life sciences, business analytics, computer science, engineering, or a related field (Master’s degree preferred)

• 5 years of relevant hands‑on experience in data analysis, process improvement, or technology‑enabled transformation within life science/healthcare

• Experience in successfully designing and delivering automation/analytics/AI-enabled solutions (e.g., dashboards, RPA/workflow automation, AI/ML pilots)

• Practical experience with Business Intelligence and data tools (e.g., Power BI or Tableau), and data querying basics (SQL or equivalent)

• End-to-end product and solution ownership mindset: with accountability for value delivery across the full solution lifecycle (ideation, MVP, rollout, scaling, maintenance, and retirement)

• Automation/AI awareness: practical experience with workflow automation/RPA platforms; exposure to AI/ML use cases and constraints in clinical operations

• Program/project management: planning, prioritization, risk/issue management, and delivery at pace; comfortable with Agile/Lean practices

• Strong Communication & influence skills: ability to influence across functions and present technical topics to non-technical audiences

• Problem-solving & critical thinking: structured analysis, hypothesis-driven approach, and pragmatic delivery mindset

• Willingness to travel approx. 20%

Other preferred experiences:

• Experience working across multiple countries or in regional programs

• Previous exposure to integrations with IT/data science teams and vendor coordination

• Familiarity with clinical trial operations, ICH-GCP, and applicable quality and data protection requirements

***Ready to take up the challenge? Apply now!*Know anybody who might be interested?Refer this job!

Please note: The primary location is Denmark. Some job specification (e.g. Scheduled Weekly Hours) may differ in secondary locations.

Required Skills:

Artificial Intelligence (AI), Business Intelligence (BI), Critical Thinking, Dashboard Development, Data Analysis, Ideation, Machine Learning (ML), Microsoft Power Business Intelligence (BI), Minimum Viable Product (MVP), Problem Solving, Process Improvements, Robotic Process Automation, Rollout Strategy, Structured Query Language (SQL), Tableau (Software), Technology Enabled Business Transformation, Workflow Automation

Preferred Skills:

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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.

Employee Status:

Regular

Relocation:

Domestic

VISA Sponsorship:

No

Travel Requirements:

25%

Flexible Work Arrangements:

Hybrid

Shift:

Not Indicated

Valid Driving License:

Yes

Hazardous Material(s):

n/a

Job Posting End Date:

05/8/2026

**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.