Senior Specialist, Digital Process & Data Analysis

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.

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  .

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

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.

Business intelligence (BI) reporting and visualization:
Advanced proficiency in one or more platforms (e.g., Qlik Sense, Power BI, Thought Spot, 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…