Vaga de Advanced Data Analytics / Statistician em São Caetano do Sul - SP - GM

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Advanced Data Analytics / Statistician

Postada em 13 de abril de 2018
Quem somos
At General Motors, we embrace the opportunity to think bigger and aim higher. It’s the confidence in knowing our ideas produce exceptional vehicles and mobility solutions that move the world in exciting new ways. With strong leadership and bold vision, we’re directing the future of transportation—and enriching people’s lives along the way. We are a global team of diverse and talented people, making contributions that extend far beyond our job titles and often bringing our life’s passion to our work.
Contrato
CLT (Efetivo)
Remuneração
a combinar
Benefícios
  • Vale Transporte
  • Assistência Médica
  • Assistência Odontológica
  • Seguro de Vida
  • Restaurante no Local
  • Fretado
  • Desconto na compra de veículos novos e semi novos
  • Participação nos Resultados
Descrição
The Advanced Data Analytics is a specialist position who will work with Pricing Data Analytics team to deliver high impact, data driven business insights, actionable recommendations and performance metrics to help maximize growth and execution. You will have the opportunity to lead analyses on the Brazilian automotive industry and be responsible for building solutions to help our Sales and Marketing teams to improve their quality on decision making. The ideal candidate is an explorer, have the ability to try different approaches for business problems and have a wide expertise of statistical methodologies. Also, the ideal candidate excels at abstracting complex data and analytical models into easy to use, end-user accessible tools and dashboards that support execution and monitoring of key performance. This position will be located at General Motors São Caetano do Sul – SP – Brazil.
Requisitos
Graduated in Statistics, Mathematics, Engineering or experience in a related field. Strong knowledge of multivariate analysis, discrete data analysis, logistic regressions, forecast models and survival models. Expertise in Statistical software SAS, SPSS, R and Office package. Microsoft Access is a plus. Strong analytical, mathematical, interpersonal and communication skills. Master Degree, Ph.D., and previous work with Conjoint Analysis is a plus Fluent in English