Manager, Business Analytics

Veracyte is a global diagnostics company focused on transforming cancer care through high-value clinical insights, genomic data, bioinformatics, and AI capabilities. The Manager, Business Analytics serves as a strategic analytics partner across Commercial, Operations, Finance, and other business functions, developing advanced analytics, statistical models, data solutions, and automation to improve operational performance and business decision-making.

Responsibilities:

• Serve as the analytics lead supporting Commercial, Finance, Operations, and related organizational functions
• Act as a thought partner to operational and commercial leadership, helping prioritize analytical investments, define success metrics, and measure business outcomes
• Collaborate cross-functionally to ensure analytical solutions are aligned with strategic priorities and deliver measurable value to the business
• Design, develop, and maintain scalable analytical solutions using SQL, Python, Snowflake, Tableau, Power BI, and modern cloud-based data platforms
• Perform statistical analysis, forecasting, segmentation, hypothesis testing, predictive modeling, and exploratory data analysis to support business planning and operational decision-making
• Partner with Data Engineering, IT, and Master Data Management teams to define data requirements, improve data quality, optimize data pipelines, and enhance enterprise data architecture
• Build and maintain semantic data models, reusable datasets, KPI frameworks, and standardized metrics aligned with SOBA governance standards
• Support enterprise data governance initiatives by validating source system integrity, documenting metric definitions, monitoring data quality, and promoting reporting consistency
• Leverage AI, machine learning, and advanced analytics techniques where appropriate to improve forecasting accuracy, automate decision support, and uncover new business insights

Requirements:

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Systems, Analytics, or a related quantitative field
• 6-8+ years of experience in advanced analytics, business intelligence, data science, revenue analytics, or a similar technical analytical role
• Expert-level SQL skills, including complex joins, window functions, common table expressions (CTEs), query optimization, and dimensional data modeling
• Strong Python programming experience, including the use of libraries such as Pandas, NumPy, SciPy, StatsModels, Scikit-Learn, and data visualization frameworks
• Strong understanding of data warehousing concepts, ETL/ELT processes, data governance, and data quality management practices, including cloud data platforms such as Snowflake, Redshift, Databricks, BigQuery, Azure Synapse, or similar technologies
• Experience with Tableau, Power BI, or similar business intelligence platforms, including dashboard development and performance optimization
• Demonstrated ability to analyze large, complex datasets and communicate findings through compelling narratives, insights, and recommendations
• Ability to independently manage ambiguous problems and deliver high-impact solutions in a fast-paced environment
• Experience within diagnostics, laboratory services, healthcare technology, life sciences, or payer analytics environments
• Exposure to AI-enabled analytics, generative AI applications, workflow automation platforms, and emerging analytics technologies
• Experience partnering with executive stakeholders to influence strategic business decisions through data-driven insights