Manager, Business Analytics
$130k - $145kVeracyte
At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way - it's about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions.
Our Values:
- We Seek A Better Way : We pursue bold ideas, embrace complexity, and keep pushing forward.
- We Make It Happen : We act with urgency, deliver with excellence, and always find a way.
- We Are Stronger Together : We engage with empathy, align around what's best for Veracyte, and celebrate as one team.
- We Care Deeply : We show up with integrity, kindness, and respect for one another.
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.
- 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.
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