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Veracyte

Genomic cancer diagnostics and non-invasive tests

Manager – Business Analytics

Data Science +1Confirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • A 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, query optimization, and dimensional data modeling.
  • Strong Python programming experience, including use of 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.
  • 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.

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 align with strategic priorities and deliver measurable business value.
  • 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.

Desired Qualifications

  • 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.

About the Company

Veracyte

Genomic cancer diagnostics and non-invasive tests

Veracyte develops and sells genomic tests used to detect and diagnose cancer. Its tests are non-invasive when possible, using samples such as nasal swabs or tissue biopsies to analyze genetic information and help determine cancer risk or prognosis. One of its notable offerings is the Decipher Prostate genomic classifier, which estimates prostate cancer prognosis, alongside other tests for early lung cancer risk assessment. The company works with hospitals, clinics, and individual practitioners to provide tools that improve diagnostic accuracy and guide treatment decisions. Veracyte differentiates itself by focusing on clinically validated, non-invasive genomic assays that support early detection and personalized care, and by expanding its test portfolio through ongoing research and clinical studies. Its goal is to help healthcare providers achieve earlier, more accurate cancer diagnoses, improve patient outcomes, and use medical resources more efficiently.

Company size
501-1,000
Company stage
IPO
Headquarters
South San Francisco, CA
Founded
2008

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