Manager, Business Analytics
New
V
VeracyteDiagnostics
Location: Remote ; San Diego, California, United States; South San Francisco, California, United StatesFull-TimeManager
SalaryPay range $130,000 — $145,000 USD
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Job Details
- Experience
- 6-8+ years of experience in advanced analytics, business intelligence, data science, revenue analytics, or a similar technical analytical role.
- Required Skills
- PythonSQLMicrosoft Power BINumpySnowflakeTableauPandasscikit-learn
Requirements
- Hold a bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Systems, Analytics, or a related quantitative field.
- Have 6-8+ years of experience in advanced analytics, business intelligence, data science, revenue analytics, or a similar technical analytical role.
- Demonstrate expert-level SQL skills, including complex joins, window functions, CTEs, query optimization, and dimensional data modeling.
- Have strong Python programming experience using libraries such as Pandas, NumPy, SciPy, StatsModels, and Scikit-Learn.
- Understand data warehousing, ETL/ELT processes, data governance, and data quality management.
- Have experience with cloud data platforms such as Snowflake, Redshift, Databricks, BigQuery, or Azure Synapse.
- Have experience with Tableau, Power BI, or similar BI platforms, including dashboard development and performance optimization.
- Be able to analyze complex datasets and communicate findings through narratives, insights, and recommendations.
- Be able to independently manage ambiguous problems and deliver solutions in a fast-paced environment.
- Preferred: experience in diagnostics, laboratory services, healthcare technology, life sciences, or payer analytics.
- Preferred: exposure to AI-enabled analytics, generative AI applications, workflow automation platforms, and emerging analytics technologies.
- Preferred: experience partnering with executive stakeholders to influence strategic decisions through data-driven insights.
Responsibilities
- Serve as the analytics lead supporting Commercial, Finance, Operations, and related organizational functions.
- Advise operational and commercial leadership on analytical investments, success metrics, and business outcomes.
- Collaborate across functions to align analytical solutions with strategic priorities and business value.
- Design, develop, and maintain analytical solutions using SQL, Python, Snowflake, Tableau, Power BI, and cloud data platforms.
- Perform statistical analysis, forecasting, segmentation, hypothesis testing, predictive modeling, and exploratory data analysis.
- Partner with Data Engineering, IT, and Master Data Management teams to define data requirements, improve data quality, optimize pipelines, and enhance data architecture.
- Build and maintain semantic data models, reusable datasets, KPI frameworks, and standardized metrics.
- Validate source system integrity, document metric definitions, monitor data quality, and promote reporting consistency.
- Apply AI, machine learning, and advanced analytics techniques to improve forecasting, automate decision support, and identify business insights.
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