Sr. Data Analyst
Description
Work closely with product marketing, clinical SMEs, and functional management to translate customer and internal strategic needs into detailed features.
Facilitate Collaboration between Clinical, Business and Technical Stakeholders to provide end to end solutions for data problems in the organization.
Work closely with Program and Development Teams to translate clinical requirements into data specifications for delivery artifacts and refine scope based on options available.
Create and maintain product roadmap prioritization with Life Sciences Leadership Team
Strong focus on requirements gathering for analytics products
Quality orientation with ability to work with QA team to ensure product quality.
Partner with data modelers to capture specific data requirements that become reusable data assets within the analytics organization
Work closely with data modeler and analytics engineers to define needed elements
- Define requirements for architecture to implement data models and specific business calculations intended for reuse
- Responsible for Data Stewardship and Business Catalog build out
Job Requirements
- Relevant knowledge of clinical data domains (pharmacy, laboratory and microbiology data in particular)
- Technical Knowledge of Analytics and related Data Management principles (Data Modeling, Metadata Management, Data Stewardship)
- Process Mindset, ability to establish and revise SDLC process and Data Governance Process
- Experience in working with Data Modeling teams to build out Data Warehouses
- Experience in writing complex SQL and Data Analysis
- Experience with a major data visualization product such as Tableau or PowerBI.
- Experience in writing detailed requirements for Development Teams
- Experience in working as a part of an agile team
- Background in Snowflake, R, and Python preferred but not required.
- Bachelor's degree in a technical, business, or clinical field. Master's preferred.