Business Analyst - Data Strategy - Remote - Full Time
Job Title
Pinnacle Method Consulting's mission is to help job seekers reach their career peak by accessing top-tier opportunities. We are not a staffing firm or agency. Pinnacle Method does not hire for these roles—we systematically source and verify them from premier employers. Our client seeks an Business Analyst for a Full Time project in Remote.
Summary
We are seeking an experienced Business Analyst to lead and support a strategic Data Strategy initiative for a global Life Sciences organization. The ideal candidate will possess a technical project management background, experience managing data-driven projects with solid understanding of Life Sciences processes, regulatory requirements, and GxP compliance. This role will work closely with business stakeholders, data architects, engineering teams, and leadership to drive planning, execution, governance, and successful delivery of the data strategy roadmap.
Skills / Experience
- Bachelor's degree preferably in Computer Science, Information technology, Computer Engineering, or related IT discipline or equivalent experience with 12+ years of Business Analyst experience, including 6+ years of experience in Data Strategy, Data Governance / Management, Data Transformation or data warehouse initiatives
- Experience an strong understanding of data models, schemas, data access, and data flows; SQL and database querying; familiarity with ETL/data pipeline concepts
- Familiarity with clinical workflows and systems leverage by clinical operations, clinical data management, statistical programmers and regulatory
- Strong communication and ability to translate data requirements into technical solutions
- Good to have - Understanding of GxP validation, healthcare regulations (HIPAA, GCP), and data traceability; Understanding data governance policies, roles, and standards; Data quality management, validation, and stewardship; Python for data analysis and validation
Job / Role Description
Individual contributor partnering with Business Process Owners and Project Managers to define, document, and deliver complex business and system requirements for data strategy and data warehousing initiatives; Leads requirements refinement, including current/future state analysis, requirements documentation, prioritization, and stakeholder alignment across clinical data domains
Analyze complex clinical datasets (e.g., clinical trial, real world evidence, and Clinical Operations data) to inform requirements and solution design
Author user and functional requirements specifications, including data flows, lineage, traceability, and data access patterns
Refine existing user and functional requirements specification; Partners with the Validation team to ensure testability of requirements and release readiness
Define business requirements for data models, reporting layers, data products, and semantic/analytics structures
Owns User Acceptance Testing planning and execution; Communicate effectively with internal and customer stakeholders
May partner with testing teams to ensure requirements are testable and solutions are compliant and ready for release
Strong interpersonal skills to build and maintain productive relationships with team members
Problem-Solving and Analytical Thinking; Capability to troubleshoot and resolve issues efficiently
Prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure DevOps
Provides regular updates, proactive and due diligent to carry out responsibilities
What Success Looks Like / Expected Outcome
Business Analyst will have successfully established and driven the Data Strategy program, delivering measurable business and technical outcomes
- Create, maintain User and Functional Requirements documentation supporting data strategy and data warehousing solutions
- Produce current state and future state artifacts (process flows, data flows, and data lineage views)
- Develop UAT scenarios aligned to validated data transformations, data access controls, and reporting outputs
- Provide regular status updates, documenting progress, risks, dependencies, and assumptions
Data Governance & Compliance
Implement / strengthen data governance processes, standards, and controls
Ensure data-related initiatives comply with GxP requirements and orga