Data Analytics Lead

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🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟠 Senior

📉 Analyste de Données

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Volkswagen Group

Site WebLinkedInTous les Emplois

10 000+ employés

🚗 Transport

Transport • Automotive • Manufacturing

Le Groupe Volkswagen est un constructeur automobile mondialement reconnu qui propose une large gamme de véhicules et de services à travers différentes marques. L'entreprise s'investit dans l'innovation en matière de mobilité électrique, de recherche et développement et de procédés de production. Avec des postes disponibles dans le monde entier à travers de nombreux secteurs de l'industrie automobile, le Groupe Volkswagen se concentre sur l'offre d'opportunités de carrière exceptionnelles dans un environnement de travail dynamique.

Description

• 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

🎯 Exigences

• 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)

🏖️ Avantages

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