Senior Specialist, Digital Process & Data Analysis

Job Description

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. In addition to ensuring compliance and business value, the Senior Specialist drives user engagement, training, communications, and data literacy initiatives, helping teams successfully adopt and maximize the impact of digital tools and insights.

Responsibilities:

Solution delivery and product / data support:

• Support the delivery, including requirements gathering and documentation, data readiness, development, & testing, of high-value technical solutions that meet business needs and achieve broad organizational adoption.
• Investigate trends and outliers to identify drivers; form and test hypotheses appropriate to business questions.
• Support the development, implementation, and maintenance related to stakeholder engagement, training (including tool use, technical/ data literacy), and support.
• Support the collection of internal data for use in external benchmarking surveys.
• Maintain a deep understanding of systems, processes, and data flows relevant to reporting (clinical/operational).
• Engage with business stakeholders to understand and document their needs and help translate them into clear requirements and technical deliverables

Process, compliance, & capability building:

• Maintain clear data dictionaries, metric definitions, Standard Operating Procedures (SOPs), and change logs; ensure consistency across related domains.
• Engage in learning new technologies and reporting methods.

Technical skills:

• Business intelligence (BI) reporting and visualization: Advanced proficiency in one or more platforms (e.g., Qlik Sense, Power BI, ThoughtSpot, Tableau), with ability to design audience-appropriate dashboards and reports
• Data literacy: Understanding data literacy best practices, including defining storytelling guidelines, executive readout formats, and review cadences.
• Ability to apply governed sharing practices and basic security concepts (e.g., awareness of row‑level security) within established standards
• Data preparation and quality
• Ability to perform light‑to‑moderate wrangling across BI tools/spreadsheets
• Proficient in defining and applying readiness/quality checks
• Expert level spreadsheet and tabular proficiency through use of pivots, lookups, conditional logic, data validation, and error checks to reconcile data and support Quality Assurance (QA)
• Documentation and metadata management: proficient in versioning, naming, and access control standards; understanding of best practices related to team governance norms
• Tool administration: Conceptual-level 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 GCP 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 in data visualization best practices applied to operational analytics

Soft skills:

• Ability to communicate effectively with technical and business partners with consistent ability to tell a clear, compelling story using data to inform decisions 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, take initiative to anticipate needs, proactively identify risks, propose options with tradeoffs and recommendations, escalate appropriately and early when needed, surface opportunities, and drive outcomes, seeking input at appropriate checkpoints
• Strong teaming skills, with ability to collaborate smoothly across functions, facilitate effective working sessions, build alignment and follow through on action items to closure
• Strong project and time management skills, with ability to manage multiple tasks, prioritize workload based on urgency, impact, and critical path dependencies, and deliver on time
• Ability to seek feedback, iterate quickly to improve deliverables, and integrate lessons learned to raise quality
• Ability to build trust through reliability, transparency, and concise updates; maintain high standards of quality and accuracy

Enterprise Leadership Skills:

• Decision Making | Identify and understand problems and opportunities by gathering, analyzing, and interpreting quantitative and qualitative information; solve complex problems and apply knowledge of business challenges; able to weigh multiple options and implications

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