Specialist, Digital Process & Data Analysis

MSD • Rahway, NJ

6d • Onsite

About The Position

The Specialist, Digital Process & Data Analysis (DPDA) serves as a bridge between digital capabilities and end users, helping teams adopt and maximize the value of data, analytics, and technology solutions. Through user support, training, communications, and data literacy initiatives, the role enables stakeholders to use purpose-built applications, user-generated analytics, conversational bots, and operational reporting tools effectively. The Specialist also supports solution testing and implementation, as well as ad hoc data requests, to improve user experience and business impact.

The role supports delivery of technical solutions that meet business needs and achieve broad organizational adoption. It contributes to scoping, requirements and user stories, user acceptance testing, change management, data preparation, data quality checks, and management of sharing, workspaces, and permissions in partnership with platform owners. The Specialist engages business stakeholders to understand and document their needs and translate them into clear requirements and technical deliverables.

The position calls for proficiency in at least one business intelligence platform and the ability to create or wireframe clear, audience-appropriate dashboards; interpret trends and outliers; communicate data takeaways and limitations; and perform light data preparation using BI tools or spreadsheets. It also requires effective collaboration with technical and business stakeholders, project and time management, and the ability to work independently with minimal guidance while escalating risks appropriately.

The primary location is Rahway, New Jersey. The role has a first-shift schedule, requires 10% travel, and is not eligible for relocation or visa sponsorship. Flexible work arrangements are listed as not applicable.

Requirements

• Non-degree qualification with at least 4 years of relevant experience; or an associate degree in Computer Science, Statistics, Pharmacy, Nursing, Biological Sciences, or a healthcare-related discipline and at least 3 years of relevant experience; or a bachelor’s degree in one of those fields and at least 2 years of relevant experience; or an advanced degree (master’s or doctorate) in one of those fields.
• Proficiency in at least one BI platform, such as Qlik Sense, Power BI, ThoughtSpot, or Tableau.
• Ability to build or wireframe clear, audience-appropriate dashboards.
• Ability to interpret trends and outliers and communicate data takeaways and limitations.
• Ability to perform light data wrangling and cleanup in BI tools or spreadsheets.
• Spreadsheet and tabular proficiency, including techniques such as pivot tables, lookups, text-to-columns, conditional formatting, and data validation.
• Proficiency in documentation and metadata practices, including 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.
• Ability to collaborate effectively with technical partners; hands-on coding is not expected.
• Ability to connect business outcomes to technical deliverables.
• Ability to communicate effectively with technical and business stakeholders 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.
• Strong teaming, project management, and time management skills.
• Ability to prioritize workload with guidance based on urgency, impact, and critical-path dependencies, and deliver on time.
• Required skills listed: Accountability, Business Insights, Clinical Research, Database Concepts, Data Integrity, Microsoft Excel, New Technology Integration, Software Development Life Cycle (SDLC), Time Management, and Training and Development.

Nice To Haves

• Relevant experience in healthcare, life sciences, analytics, operations, or training and enablement.
• Substantial hands-on experience in one or more clinical operations domains, such as study start-up, site management, monitoring, data management, or quality/compliance.
• 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 delivery of data, reporting, or digital solutions.
• Preferred skills listed: Data Management and Good Clinical Practice (GCP).

Responsibilities

• Support delivery of high-value technical solutions that meet business needs and achieve broad organizational adoption.
• Support solution scoping, requirements and user stories, user acceptance testing (UAT), and change management with product and engineering partners.
• Assist with data preparation and basic quality checks to maintain data integrity.
• Manage sharing, workspace organization, and permissions for the role’s area in partnership with platform owners.
• Engage business stakeholders to understand and document their needs, and help translate them into requirements and technical deliverables.
• Support user adoption through user support, training, communications, and data literacy initiatives.
• Support solution testing and implementation, and respond to ad hoc data requests.
• Learn new technologies and reporting methods.
• Build or wireframe clear, audience-appropriate dashboards using a business intelligence platform.
• Interpret trends and outliers and communicate key takeaways and limitations.
• Perform light data wrangling and cleanup in BI tools or spreadsheets.
• Reconcile and analyze tabular data using spreadsheet techniques.
• Maintain documentation and metadata, including versioning, naming, and access-control standards.
• Collaborate with data and technology teams to improve data integrity and usability.
• Communicate technical concepts in plain language and tell clear, data-driven stories.
• Identify and analyze problems, consider tradeoffs, make timely decisions, and optimize probable outcomes.
• Collaborate across functions, facilitate small working sessions, and drive action items to closure.
• Manage and prioritize tasks based on urgency, impact, and critical-path dependencies, and deliver on time.
• Identify risks, propose options, and escalate appropriately with guidance.
• Build skills through continuous learning, self-development, and openness to feedback.

Benefits

• Medical, dental, vision, and other insurance benefits for employees and family.
• Retirement benefits, including 401(k).
• Paid holidays.
• Vacation.
• Compassionate and sick days.
• Annual bonus and long-term incentive, if applicable.

What This Job Offers

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