Data Analyst

Vaga não está no LinkedIn

🕒 2 dias atrás

🔔 Pennsylvania – Remoto

🔔 Pennsylvania – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

📉 Analista de Dados

🦅 Patrocina Visto H1B

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Thermo Fisher Scientific

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1956

🧬 Biotecnologia

💊 Farmacêutico

🔬 Ciência

Biotechnology • Pharmaceuticals • Science

A Thermo Fisher Scientific é a líder mundial em servir à ciência, com receita anual de mais de US$ 40 bilhões. Sua missão é capacitar os clientes a tornar o mundo mais saudável, limpo e seguro, apoiando a pesquisa em ciências da vida, solucionando desafios analíticos complexos, aumentando a produtividade dos laboratórios e melhorando a saúde dos pacientes por meio de diagnósticos e do desenvolvimento de terapias que transformam vidas. Com uma equipe global, oferece tecnologias inovadoras e serviços farmacêuticos por meio de marcas como Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon e PPD.

Descrição

• Collaborate with cross-functional stakeholders to develop scalable analytics solutions • Create intuitive dashboards and visualizations • Deliver reporting that improves operational and business performance • Transform complex data into actionable insights that drive strategic decision-making • Analyze complex datasets to identify trends, opportunities, and actionable business insights • Design, build, deploy, and maintain reporting and dashboards for internal users and external customers • Support development and execution of the BI roadmap aligned to business priorities • Ensure data quality and integrity across data warehouse and BI platforms • Proactively identify and resolve scalability, performance, and optimization issues

🎯 Requisitos

• Advanced Degree plus 3 years of experience, or Bachelor's Degree plus 5 years of experience in data analytics, business intelligence, or related role • Degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Engineering, Mathematics, Statistics, or another quantitative discipline preferred. • Relevant professional certifications (e.g., Power BI, SQL, data analytics) are a plus • Advanced to expertise level proficiency in SQL Server, Power BI, and advanced Excel • Experience building complex reports in Power BI with strong dashboard development and report automation capabilities • Python skillsets is a plus • Experience with ETL processes and data pipeline development • Knowledge of statistical analysis and data modeling techniques • Demonstrated ability to translate complex data into clear, actionable insights • Experience working with large datasets and multiple data sources • Experience in manufacturing, supply chain, or life sciences industries a plus.

🏖️ Benefícios

• Health insurance • Flexible work arrangements • Professional development opportunities