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Manager, Business Analytics

🕒 Setembro 30

🏄 California – Remoto

infoinfo

💵 $130.000 - $145.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

👔 Gerente

🗣️🇺🇸🇬🇧 Inglês obrigatório

De onde vem esta vaga

Publicada na página de carreiras da Veracyte, Inc., não em um site de vagas

Vista pela primeira vez pelo Remote Rocketship Setembro 30

Ainda aberta no site da Veracyte, Inc.. Verificada 3 horas atrás.

Logo of Veracyte, Inc.

Veracyte, Inc.

501 - 1000 funcionários

Fundada em 2013

🏥 Saúde

🧬 Biotecnologia

⚕️ Seguro de Saúde

Healthcare • Biotechnology • Healthcare Insurance

A Veracyte, Inc. é uma empresa de diagnósticos genômicos que se concentra em capacitar os clínicos com testes moleculares de alto valor para o diagnóstico e tratamento do câncer. A empresa oferece um portfólio de classificadores genômicos para vários tipos de câncer, incluindo câncer de tireoide, próstata, pulmão, mama e bexiga, bem como doença pulmonar intersticial. Os testes da Veracyte ajudam clínicos e pacientes a tomar decisões informadas sobre o cuidado com o câncer, fornecendo insights diagnósticos e prognósticos claros. A abordagem da empresa envolve identificar necessidades clínicas não atendidas e desenvolver testes de alto desempenho que são amplamente acessíveis globalmente através de um modelo baseado em CLIA e diagnóstico in vitro. Comprometida em elevar o padrão do cuidado com o câncer, a Veracyte continua a expandir seu portfólio de testes e a fazer contribuições significativas na área de diagnósticos oncológicos.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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

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