Vaga de parceiro

Supply Chain Data Scientist, Supply Chain & - São Paulo / SP

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Detalhes da Vaga

  • Escolaridade Não Informado
  • Segmento Não Informado
  • Salário Não Informado
  • Área de AtuaçãoDiversos / Outros

O que você irá fazer

  • - Direct experience using Tableau, AWS QuickSight, Power BI, or other data visualization software.
  • - Experience using analytical packages and scripting languages such as R, Python, SAS or SPSS.
  • - Advanced-level skills in writing and optimizing SQL to handle large datasets.
  • - Experience translating analysis results into business recommendations- Advanced EnglishJob summaryAmazons mission is to be the most customer-centric company in the world.
  • In support of this mission, the Employee Services organization strives to create a frustration-free environment allowing all Amazonians to focus on delivering, innovating, and inventing for our customers.
  • As an analytics leader in this role, your mission will be to work with Supply Chain, Transportation and Analytics Operation and Program teammates and business leaders to surface key insights from data.
  • You will contribute to the long-term vision for the team, conduct data analyses, identify high-impact opportunities for predictive analysis and business experimentation, improve data integrity, create metrics that fill knowledge gaps, model and visualize data patterns, support data reporting needs, and analyze the quantitative impact of high-priority research, data science projects, and business experiments.
  • Additionally, this role will be instrumental in the continued development of a reliable and scalable infrastructure for ongoing analytics and reporting in order to deliver actionable insights to business leaders.
  • The ideal team member is an experienced analytics leader with expertise in data mining and analysis, data visualization, metrics creation, data reporting and presentation, and translating results from analysis into business recommendations.
  • You will lead high visibility and high-impact projects collaborating with various teams across Amazon.
  • Relentless customer-orientation, relentless curiosity, openness to collaboration and personal development, and a commitment to the highest standards of methodological and analytical rigor are a must.
  • This role provides opportunity for significant exposure to Amazons culture, leadership, and global businesses.
  • It also offers growth and development opportunities for someone with the drive and the ability to think strategically, act tactically, write effectively, and that displays strong critical thinking and influencing skills.
  • - Bachelor''s degree in Business, Engineering, Statistics, Computer Science, Mathematics or Mathematics, or other quantitative discipline.
  • - Relevant experience as a Business Intelligence Analyst, Business Analyst, Statistical Analyst, or similar role.
  • - Advanced knowledge of data analysis and experience analyzing large and complex data sets from multiple sources.
  • - Demonstrated data reporting experience with exceptional attention to detail.
  • - Experience leading large-scale analytics projects using AWS technologies (e.
  • G.
  • Redshift, S3, Quicksight, etc.
  • ).
  • - Proven ability to mine data and use it to back up assumptions and test hypotheses - Understanding of data warehousing and data modeling.
  • - Excellent, structured written and verbal communication skills.
  • - Strong presentation skills with the ability to communicate technical information to a technical and non-technical audience.
  • - Experience working with senior leaders and end-customers to define requirements and reporting needs.
  • - Experience in Data Science fundamentals.
  • - Proven ability to balance competing priorities in a fast-paced, dynamic work environment.
  • - Ability to work independently, as well as part of a team, on multiple projects simultaneously.
  • - Exceptional problem solving, project management, and organizational skills.
  • Amazon is committed to a diverse and inclusive workforce.
  • Amazon is an equal opportunity employer and does not discriminate on the basis of race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Informações Adicionais

  • Quantidade de Vagas 1
  • Jornada Não Informado
 

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