Manager, Business Analytics
Veracyte, Inc.
September 30, 2026
Full-time
Remote friendly (South San Francisco, CA)
Worldwide
IT
Role: The Manager, Business Analytics is a technical individual contributor within Veracyte's Sales Operations & Business Analytics team, serving as a strategic partner to Commercial, Finance, and Operations. The primary goal is to leverage advanced analytics, statistical modeling, data science, and automation to enhance operational performance, revenue, and business decision-making. Responsibilities include designing and maintaining scalable analytical solutions using SQL, Python, and cloud platforms; conducting statistical analyses and predictive modeling; collaborating with data engineering teams to improve data quality and architecture; and supporting enterprise data governance. The role involves translating complex data into actionable insights to influence leadership decisions and drive measurable outcomes.
Qualifications: Requires a bachelor’s degree in a quantitative field (e.g., Data Science, Statistics, Engineering) and 6-8+ years of experience in analytics, BI, or data science roles. Expert-level SQL skills, proficiency in Python, experience with cloud data platforms (Snowflake, Redshift, etc.), and BI tools like Tableau or Power BI are essential. Strong analytical skills, communication abilities, and experience managing large datasets in a fast-paced environment are needed.
Preferred: Experience in healthcare diagnostics, laboratory services, or life sciences; familiarity with AI-enabled analytics, generative AI, and workflow automation; and stakeholder engagement at the executive level.
High-Value: Focus on healthcare/diagnostics, analytics, cloud data platforms, and AI applications. The position reports to senior leadership and emphasizes cross-functional collaboration. Location details and travel requirements are not specified.
Qualifications: Requires a bachelor’s degree in a quantitative field (e.g., Data Science, Statistics, Engineering) and 6-8+ years of experience in analytics, BI, or data science roles. Expert-level SQL skills, proficiency in Python, experience with cloud data platforms (Snowflake, Redshift, etc.), and BI tools like Tableau or Power BI are essential. Strong analytical skills, communication abilities, and experience managing large datasets in a fast-paced environment are needed.
Preferred: Experience in healthcare diagnostics, laboratory services, or life sciences; familiarity with AI-enabled analytics, generative AI, and workflow automation; and stakeholder engagement at the executive level.
High-Value: Focus on healthcare/diagnostics, analytics, cloud data platforms, and AI applications. The position reports to senior leadership and emphasizes cross-functional collaboration. Location details and travel requirements are not specified.