Specialist, Digital Process & Data Analysis

• Support the delivery of high-value technical solutions that meet business needs and achieve broad organizational adoption.
• Support scoping, requirements/user stories, User Acceptance Testing (UAT), and change management with product/engineering partners.
• Assist with data preparation and basic quality checks to maintain integrity.
• Manage sharing, workspace organization, and permissions for own area in partnership with platform owners.
• Engage with business stakeholders to understand and document their needs and help translate them into clear requirements and technical deliverables.

• Engage in learning new technologies and reporting methods.

• Business intelligence (BI) reporting and visualization: Proficient in at least one business intelligence platform (e.g., Qlik Sense, Power BI, ThoughtSpot, or Tableau), with ability to build / wireframe clear, audience-appropriate dashboards.
• Data literacy and storytelling: ability to interpret trends and outliers and communicate key takeaways and limitations.
• Data preparation and quality: ability to perform light wrangling and data cleanup in BI tools or spreadsheets.
• Spreadsheet and tabular proficiency to reconcile and analyze data end-to-end (e.g., through use of pivot tables, lookups, text-to-columns, conditional formatting, and data validation).
• Documentation and metadata management: Proficient in versioning, naming, and access-control standards.
• Solid understanding of data connections and refresh schedules.
• Working knowledge of the Software Development Lifecycle (SDLC).
• Solid knowledge of Good Clinical Practice (GCP) and strong learning agility for adjacent clinical domains.
• Working knowledge of database concepts, data quality, and governance; collaborate with data/tech teams to improve data integrity and usability.
• Awareness of analytics/programming concepts and effective collaboration with technical partners; hands-on coding not expected.
• Ability to connect business outcomes to technical deliverables.

• Ability to communicate effectively with both technical and business stakeholders, with an ability to tell clear, compelling, data-driven stories and translate technical concepts into plain language.
• Ability to elicit and document business needs and translate them into requirements, user stories, or solution concepts.
• Ability to work independently with minimal guidance, identify risks, propose options, and escalate appropriately with guidance.
• Solid teaming skills with ability to collaborate smoothly across functions and drive action items to closure.
• Strong project and time management skills, with ability to manage tasks, prioritize workload with guidance based on urgency, impact, and critical path dependencies, and deliver on time. 
• Ability to build trust through reliability, transparency, and concise updates.

• Execution Excellence | Focus on self-development, openness to feedback, and quickly building skills; embrace continuous learning and actively identify new areas for growth.
• Decision Making | Identify and analyze problems by interpreting qualitative and quantitative information, select best course of action, and make timely decisions while considering tradeoffs; optimize probable consequences.
• Networking & Partnerships | Build knowledge of the company, processes, clients, and customers; work across functions and collaborate effectively; leverage relationships within and across work groups to achieve results.

• Non-Degree with 4+ years of experience working in relevant field for associated job description (see below) -OR-
• Associate's Degree in Computer Science, Statistics, Pharmacy, Nursing, Biological Sciences, or a health care–related discipline AND 3+ years of experience working in relevant field for associated job description (see below) -OR-
• Bachelor's Degree in Computer Science, Statistics, Pharmacy, Nursing, Biological Sciences, or a health care–related discipline AND 2+ years of experience working in relevant field for associated job description (see below) -OR-
• Advanced Degree (Masters or Doctorate) in Computer Science, Statistics, Pharmacy, Nursing, Biological Sciences, or a health care–related discipline

• Healthcare, life sciences, analytics, operations, or training/enablement; substantial, hands-on experience in one or more clinical operations domains (e.g., study start-up, site management, monitoring, data management, quality/compliance) preferred.
• Experience designing and delivering training, enablement materials, or workshops; able to upskill stakeholders on processes, tools, and data use.
• Demonstrated cross-functional collaboration and stakeholder management; facilitates small working sessions and drives follow-through.
• Experience in applying clinical operations knowledge and/or technical analytics expertise to identify business needs and support the delivery of data, reporting, or digital solutions.

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

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

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.