Senior Analytics Lead – Retail Growth & Insights

Nike Inc

Singapore

Presencial

SGD 90 000 - 130 000

Tempo integral

14 dias+

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

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Resumo da oferta

Nike Inc. SEAI Analytics Lead will be a key member of the Southeast Asia & India analytics team, delivering action-oriented insights across Nike Digital, Nike Stores, and Wholesale Partners.

Reporting to the Senior Manager of SEAI Marketplace Analytics, the role partners with cross-functional teams to maximize revenue and profitable growth through data-driven decisions. The candidate brings advanced analytics expertise, strong storytelling, and the ability to influence both technical and

Qualificações

  • Advanced quantitative degree required.
  • 5+ years in Advanced Analytics, Applied Data Science, Economics or related fields.
  • Expertise in retail operations analytics and omnichannel insights.
  • Experience applying AI/ML to retail store analytics, forecasting and store segmentation.

Responsabilidades

  • Analyze large, complex datasets to identify patterns and actionable insights.
  • Define and monitor KPIs; apply causal inference to optimize strategies.
  • Act as strategic advisor to stakeholders to translate findings into actions.
  • Collaborate with cross-functional teams to translate technical findings into recommendations.
  • Craft presentations and reports that distill analysis into clear narratives for leadership.

Conhecimentos

SQL
Python
R
Forecasting
Data visualization
Business storytelling

Formação académica

Advanced quantitative degree (Statistics/Mathematics/Economics/CS/Data Science)

Ferramentas

Databricks
Tableau

Descrição da oferta de emprego

Nike Inc. SEAI Analytics Lead will be a key member of the Southeast Asia & India analytics team, delivering action-oriented insights across Nike Digital, Nike Stores, and Wholesale Partners.

Reporting to the Senior Manager of SEAI Marketplace Analytics, the role partners with cross-functional teams to maximize revenue and profitable growth through data-driven decisions. The candidate brings advanced analytics expertise, strong storytelling, and the ability to influence both technical and

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