Senior Specialist, Digital Process & Data Analysis

MSD • Rahway, NJ

6d

About The Position

The Senior Specialist, Digital Process & Data Analysis (DPDA) serves as a strategic partner in advancing data-driven decision-making and digital capability adoption across the organization. Working closely with stakeholders, this role leads requirements gathering, alignment, and implementation of reporting solutions that integrate purpose-built applications, user-generated analytics, and NLP-based bots. The role supports compliance and business value while driving user engagement, training, communications, and data literacy initiatives so teams can adopt and maximize the impact of digital tools and insights.

The position supports the delivery of high-value technical solutions, including requirements documentation, data readiness, development, and testing. It investigates trends and outliers, maintains reporting-related knowledge of systems, processes, and data flows, and helps translate stakeholder needs into technical requirements and deliverables. It also supports stakeholder engagement, training, internal data collection for external benchmarking, and the maintenance of data dictionaries, metric definitions, SOPs, and change logs.

The role requires strong business intelligence, data preparation, spreadsheet, documentation, metadata, and tool-administration capabilities, as well as working knowledge of SDLC, GCP, database concepts, data quality, and governance. It calls for effective communication, collaboration, project management, independent judgment, and enterprise leadership skills in decision-making, motivation, and coaching.

Requirements

• One of the following education and experience combinations: no degree and 8+ years of relevant experience; an associate degree in a listed field and 7+ years; a bachelor's degree in a listed field and 5+ years; or an advanced degree in a listed field and 2+ years.
• Relevant degree fields include computer science, statistics, pharmacy, nursing, biological sciences, or a health care-related discipline.
• Advanced proficiency in one or more BI platforms, such as Qlik Sense, Power BI, ThoughtSpot, or Tableau.
• Understanding of data literacy best practices, including storytelling guidelines, executive readout formats, and review cadences.
• Ability to apply governed sharing practices and basic security concepts, including awareness of row-level security, within established standards.
• Ability to perform light-to-moderate data wrangling across BI tools and spreadsheets.
• Proficiency in defining and applying data readiness and quality checks.
• Expert-level spreadsheet and tabular proficiency, including pivots, lookups, conditional logic, data validation, and error checks.
• Proficiency in versioning, naming, and access-control standards, and understanding of team governance best practices.
• Conceptual understanding of workspace organization, permission models, data connections, and refresh schedules.
• Working knowledge of the Software Development Lifecycle (SDLC).
• Solid knowledge of Good Clinical Practice (GCP) and ability to apply it to operational decision-making.
• Working knowledge of database concepts, data quality, and governance.
• Ability to connect business outcomes to technical deliverables.
• Foundation in statistics and deep experience applying data visualization best practices to operational analytics.
• Ability to communicate effectively with technical and business partners and tell clear, compelling data stories to inform decisions.
• Ability to elicit and document business needs and translate them into requirements, user stories, or solution concepts.
• Ability to work independently with minimal guidance, take initiative, identify risks, recommend options, escalate early when needed, and drive outcomes.
• Strong collaboration, facilitation, stakeholder-management, project-management, and time-management skills.
• Ability to seek feedback, iterate quickly, integrate lessons learned, and maintain high standards of quality and accuracy.
• Required skills listed: Agile Methodology, Back-End Development, Clinical Operations, Dashboard Development, Data Analysis, Good Clinical Practice (GCP), Microsoft Excel, New Technology Evaluation, Quality Management, and Software Development Life Cycle (SDLC).

Nice To Haves

• Substantial hands-on experience in one or more clinical operations domains, such as study start-up, site management, monitoring, data management, or quality/compliance; strong candidates from healthcare, analytics, operations, or training/enablement backgrounds will also be considered.
• Experience designing and delivering training, enablement materials, or workshops, and upskilling stakeholders on processes, tools, and data use.
• Demonstrated cross-functional collaboration and stakeholder management, including facilitating small working sessions and driving follow-through.
• Experience applying clinical operations knowledge and/or technical analytics expertise to identify business needs and support data, reporting, or digital solution delivery.
• Preferred skills listed: Data Management and Data Quality.

Responsibilities

• Support delivery of high-value technical solutions through requirements gathering and documentation, data readiness, development, and testing.
• Investigate trends and outliers, identify drivers, and form and test hypotheses relevant to business questions.
• Support the development, implementation, and maintenance of stakeholder engagement, training, and support, including tool use and technical and data literacy.
• Support collection of internal data for external benchmarking surveys.
• Maintain a deep understanding of systems, processes, and data flows relevant to clinical and operational reporting.
• Engage business stakeholders to understand and document needs and translate them into clear requirements and technical deliverables.
• Maintain data dictionaries, metric definitions, Standard Operating Procedures, and change logs, ensuring consistency across related domains.
• Learn new technologies and reporting methods.
• Design audience-appropriate dashboards and reports using business intelligence and visualization platforms.
• Apply governed sharing practices and basic security concepts within established standards.
• Perform light-to-moderate data wrangling and define and apply data readiness and quality checks.
• Use advanced spreadsheet and tabular techniques to reconcile data and support quality assurance.
• Follow documentation, metadata, versioning, naming, and access-control standards and team governance norms.
• Apply conceptual understanding of workspace organization, permission models, data connections, and refresh schedules.
• Communicate data insights clearly, translate technical concepts into plain language, facilitate working sessions, build alignment, and follow through on actions.
• Work independently, anticipate needs, identify risks and opportunities, recommend options and tradeoffs, escalate appropriately, and drive outcomes.
• Manage multiple tasks and priorities, deliver on time, seek feedback, iterate on deliverables, and maintain quality and accuracy.
• Demonstrate decision-making, motivation and inspiration, and coaching and development skills.

Benefits

• Medical, dental, vision healthcare, and other insurance benefits for employees and family.
• Retirement benefits, including 401(k).
• Paid holidays, vacation, compassionate days, and sick days.
• Eligibility for an annual bonus and long-term incentive, if applicable.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed