Specialist, Digital Process & Data Analysis

Job Description

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

Responsibilities:

Solution delivery and product / data support:

• 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.

Process, compliance, & capability building:

• Engage in learning new technologies and reporting methods.

Technical skills:

• 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.

Soft skills:

• 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.

Enterprise Leadership Skills:

• 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.

Qualifications & experience:

• 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

Example relevant experience:

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