Manager, Business Analytics

Veracyte, Inc.

. Serve as the analytics lead supporting Commercial, Finance, Operations, and related organizational functions .

Posted 9/30/2026full-timeRemote • California • United StatesMid-LevelSenior💰 $130,000 - $145,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in advanced analytics, data science, and business intelligence, leveraging SQL, Python, and cloud data platforms to drive strategic insights and measurable business outcomes. Proficient in data governance, quality management, and the development of scalable analytical solutions that align with organizational priorities.

Highest-signal resume keywords

Expert-Level SQL SkillsStrong Python Programming ExperienceExperience with Cloud Data PlatformsProficiency in Tableau and Power BIAdvanced Analytics and Business Intelligence

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonStatistical AnalysisPredictive ModelingData WarehousingETL/ELT ProcessesData GovernanceData Quality ManagementMachine LearningData Visualization

Soft Skills

Analytical ThinkingProblem SolvingCommunication SkillsCollaborationIndependence

Tools & Technologies

SnowflakeTableauPower BIAzure SynapseDatabricksBigQueryPandasNumPySciPyStatsModels

Industry Keywords

Data ScienceBusiness IntelligenceRevenue AnalyticsData EngineeringMaster Data Management

Tech Stack

Tools & technologies

Amazon RedshiftAzureBigQueryCloudETLNumpyPandasPythonScikit-LearnSQLTableau

About the role

Key responsibilities & impact

Serve as the analytics lead supporting Commercial, Finance, Operations, and related organizational functions
Act as a thought partner to operational and commercial leadership, prioritizing analytical investments, defining success metrics, and measuring business outcomes
Collaborate cross-functionally to align analytical solutions with strategic priorities and 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
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
Support enterprise data governance by validating source system integrity, documenting metric definitions, monitoring data quality, and promoting reporting consistency
Leverage AI, machine learning, and advanced analytics to improve forecasting accuracy, automate decision support, and uncover business insights

Requirements

What you’ll need

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 with Pandas, NumPy, SciPy, StatsModels, Scikit-Learn, and data visualization frameworks
Strong understanding of data warehousing, ETL/ELT processes, data governance, and data quality management
Experience with 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 narratives, insights, and recommendations
Ability to independently manage ambiguous problems and deliver high-impact solutions in a fast-paced environment

Benefits

Comp & perks

Competitive compensation and benefits
Potential eligibility for discretionary bonuses/incentives
Potential eligibility for restricted stock units
Career opportunities
Inclusive workforce and workplace
Great Place to Work-certified workplace