Manager, Business Analytics

About the role

The Manager, Business Analytics is a highly technical individual contributor within the Sales Operations & Business Analytics Center of Excellence. This role serves as a strategic analytics partner across Commercial, Operations, and Finance, leveraging advanced analytics, statistical modeling, and data science 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.

Required skills

• SQL
• Python
• Statistical modeling
• Data science
• Data warehousing
• ETL/ELT
• Data governance
• Tableau
• Power BI
• Predictive modeling
• Dimensional data modeling

Nice to have

• Diagnostics
• Healthcare technology
• Life sciences
• Payer analytics
• Generative AI
• Workflow automation

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Systems, Analytics, or a related quantitative field

About the Company

Veracyte is a global diagnostics company whose vision is to transform cancer care for patients all over the world. The company empowers clinicians with high-value insights to guide and assure patients at pivotal moments in the race to diagnose and treat cancer.