Data Analytics Lead

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🕒 Maio 5

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

📉 Analista de Dados

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Volkswagen Group

SiteLinkedInTodas as Vagas

10.000+ funcionários

🚗 Transporte

Transport • Automotive • Manufacturing

O Grupo Volkswagen é um fabricante automotivo reconhecido globalmente que oferece uma ampla gama de veículos e serviços através de diversas marcas. A empresa é dedicada à inovação em mobilidade elétrica, pesquisa e desenvolvimento, e processos de produção. Com posições disponíveis ao redor do mundo em vários setores da indústria automotiva, o Grupo Volkswagen foca em proporcionar oportunidades de carreira excepcionais em um ambiente de trabalho dinâmico.

Descrição

• Collaborate with business partners, leveraging modeling and analytics to generate insights and recommendations • Consult with stakeholders from across the company and leverage business analytics tools to develop, run, and improve a suite of models and forecasts • Integrate into the Electrify America team and build a deep understanding of its current data sources, models, and business needs • Help streamline and improve existing analysis, modelling, and forecasting portfolio • Develop, run, and improve a suite of models and forecasts based on the evolving needs of the company • Incorporate automation to create ease of maintenance • Reconciliation and validation of data across systems, reports, and supporting systems

🎯 Requisitos

• 8+ years of industry experience is required • Strong business sense – understand abstract business needs as well as business analysis metrics across finance, marketing, and operations • Strong analytical skills - ability to collect, organize, and analyze data with attention to detail and accuracy • Strong skills in statistical analysis, regression analysis, hypotheses testing, probability • Strong skills in supervised & unsupervised machine learning modeling • Presentation skills – ability to turn data into actionable information • Expert in developing and running queries for relational databases, such as SQL • Experience with visualization and analysis tools such as Tableau, Looker, or PowerBI • Experience in Python (Pandas, numpy, scikit-learn) • Expert in Microsoft Excel, including VBA, VLOOKUP, and pivot tables • Knowledge of NoSQL databases and MongoDB query languages (desired) • Experience with cloud-based data warehouses, such as Snowflake, Databricks, RedShift, or similar (desired) • Experience using cloud-based data managed in AWS S3, Aurora, and DocumentDB (desired) • Experience with version control tools, such as Git or Bitbucket concepts, correlation analyses, and time series analyses (desired) • Experience managing and improving cross-functional processes (desired)

🏖️ Benefícios

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development