Staff Business Analyst - Data Platform

Company Description

Guardant Health is a leading precision oncology company focused on helping conquer cancer globally through use of its proprietary tests, vast data sets and advanced analytics. The Guardant Health oncology platform leverages capabilities to drive commercial adoption, improve patient clinical outcomes and lower healthcare costs across all stages of the cancer care continuum. Guardant Health has commercially launched Guardant360®, Guardant360 CDx, Guardant360 TissueNext™, Guardant360 Response™, and GuardantOMNI® tests for advanced stage cancer patients, and Guardant Reveal™ for early-stage cancer patients. The Guardant Health screening portfolio, including the Shield™ test, aims to address the needs of individuals eligible for cancer screening.

Job Description

About the Role:

We are seeking a highly motivated Staff Business Analyst with a strong background in genomics and oncology data to join our team. In this role, you will work closely with business and technical stakeholders to define functional requirements, user workflows, and system behaviors for our Data platform. This role offers the opportunity to drive critical data-driven solutions that support oncology research, genomic data integration, and real-world clinical outcomes, enabling Guardant Health to advance precision oncology.

Essential Duties and Responsibilities:

• Stakeholder Engagement: Collaborate with business leaders, product managers, and technical teams to gather and document business requirements. Ensure clarity of needs and objectives specific to genomic data analytics and real-world clinical outcomes.
• Business Process Analysis: Conduct detailed analysis of existing workflows, identifying opportunities for optimization and improvement. Develop process maps and recommend solutions to improve data platform workflows.
• Requirements Translation: Convert business needs into detailed technical specifications, user stories, and acceptance criteria for development teams to implement.
• Solution Design: Work with technical architects to design scalable data solutions that align with business objectives, focusing on data interoperability, longitudinal patient and genomic data, and cancer research workflows.
• Project Management: Track project milestones, manage risks, and address any challenges to ensure successful delivery of genomic data solutions.
• User Support: Serve as a subject matter expert in oncology and genomic data workflows, providing guidance to users and stakeholders. Facilitate user training and support the adoption of new data platform features, including those related to genetic testing results and variant reporting.
• Configuration and Customization: Collaborate with technical teams to configure and tailor the data platform to meet the specific needs of oncology research, clinical trials, and genomics, enabling precise analysis of genetic mutations and alterations.
• Proof of Concept: Lead the development of proof-of-concept solutions to demonstrate the feasibility of proposed features and data models.
• Testing and Quality Assurance: Coordinate User Acceptance Testing (UAT) and ensure that solutions meet business requirements before going live. Oversee the creation of test plans, scripts, and execution strategies.
• Documentation: Develop comprehensive documentation, including business requirements, workflows, and user guides. Use visual aids such as process flows and diagrams to ensure clear understanding.
• Continuous Improvement: Identify areas for process automation and enhancement to improve efficiency and support business growth in oncology research and patient outcomes.
• Team Collaboration: Work cross-functionally with developers, support teams, and QA to deliver high-quality data solutions.

Qualifications

• 6+ years of experience as a Business Systems Analyst or Product Owner, particularly in data products, genomics & real-world data (RWD) solutions.
• Bachelor’s degree in a relevant field (Engineering, Computer Science, Data Science, or similar) or equivalent industry experience.
• Experience gathering requirements and building data-centric applications, with a focus on oncology, healthcare data, or biopharma.
• Strong understanding of real-world evidence (RWE), genomic and clinical data analysis.
• Hands-on experience with data platforms, data lakes, and analytics tools.
• Experience leveraging data-driven insights and working with large, complex datasets.
• Strong technical design and analysis skills with a focus on real-world data systems.
• Experience working in an Agile environme