Data Strategy Business Analyst (Life Sciences) - Only local to CA
Summary: The Data Strategy Business Analyst role focuses on leading data strategy, governance, and warehousing initiatives for a global life sciences organization. The position requires collaboration with various stakeholders to ensure compliance and successful project delivery. Candidates should have extensive experience in data strategy and analysis, particularly within the life sciences sector. This is a full-time remote position with a preference for candidates located in California.
Key Responsibilities:
- Gather, analyze, and document business and system requirements for enterprise data strategy initiatives
- Lead Current & Future State Analysis, Requirements Refinement, Stakeholder Alignment, and Data Strategy Roadmap Execution
- Analyze clinical datasets including Clinical Trials, Clinical Operations, and Real-World Evidence (RWE)
- Create Business Requirements Documents (BRDs), Functional Requirements, Data Flows, Data Lineage, Source-to-Target Mapping, and Data Specifications
- Define requirements for Data Models, Data Warehouses, Reporting Layers, Semantic Models, and Data Products
- Lead User Acceptance Testing (UAT) planning and execution
- Collaborate with Validation, Data Engineering, and Business teams to ensure successful project delivery
Key Skills:
- 8+ years of Business Analyst experience
- 6+ years leading Data Strategy, Data Governance, Data Management, and Data Transformation Programs
- Strong knowledge of SQL, Data Models, Database Querying, ETL/Data Pipelines, and Data Warehousing
- Experience supporting enterprise Data Strategy initiatives
- Strong understanding of Clinical Workflows, Clinical Data Management, Statistical Programming, and Regulatory Data Processes
- Excellent stakeholder management and communication skills
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
We're Hiring | Data Strategy Business Analyst (Life Sciences)
Client: WINWIRE
Location: Foster City, CA (100% Remote)
Employment Type: Full-Time / C2C
Preference: Full-Time candidates and candidates local to California are preferred.
Work Authorization: No H1B candidates.
About the Role
We are seeking an experienced Data Strategy Business Analyst to lead strategic Data Strategy, Data Governance, and Data Warehousing initiatives for a global Life Sciences organization. This role will partner with business leaders, data architects, engineering teams, and project managers to deliver enterprise-scale data transformation programs while ensuring GxP compliance and regulatory alignment.
Key Responsibilities
Gather, analyze, and document business and system requirements for enterprise data strategy initiatives
Lead:
- Current & Future State Analysis
- Requirements Refinement
- Stakeholder Alignment
- Data Strategy Roadmap Execution
Analyze clinical datasets including:
- Clinical Trials
- Clinical Operations
- Real-World Evidence (RWE)
Create:
- Business Requirements Documents (BRDs)
- Functional Requirements
- Data Flows
- Data Lineage
- Source-to-Target Mapping
- Data Specifications
Define requirements for:
- Data Models
- Data Warehouses
- Reporting Layers
- Semantic Models
- Data Products
Lead User Acceptance Testing (UAT) planning and execution
Collaborate with Validation, Data Engineering, and Business teams to ensure successful project delivery
Required Skills
8+ years of Business Analyst experience
6+ years leading:
- Data Strategy
- Data Governance
- Data Management
- Data Transformation Programs
Strong knowledge of:
- SQL
- Data Models
- Database Querying
- ETL/Data Pipelines
- Data Warehousing
Experience supporting enterprise Data Strategy initiatives
Strong understanding of:
- Clinical Workflows
- Clinical Data Management
- Statistical Programming
- Regulatory Data Processes
Excellent stakeholder management and communication skills
Preferred Skills
Life Sciences / Pharmaceutical industry experience
GxP Validation
HIPAA & Google Cloud Platform compliance
Data Governance & Data Stewardship
Data Quality Management
Python for data analysis and validation
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