Business Intelligence Solutions Architect

3 weeks ago


New York, New York, United States Amazon Full time

Job Title: Senior Business Intelligence Engineer, Demand Forecasting

Location: Worldwide

Job Type: Full-time

About Us: Amazon is a global e-commerce leader with a complex supply chain that requires precise forecasting and analytics.

Job Description:

We are seeking an experienced Senior Business Intelligence Engineer to join our ASIN Forecasting Analytics Team. The team monitors the ASIN demand and inbound inventory forecasts for Amazon Businesses WW, reports on historical forecast performance, changes in future forecasts, and the health of future forecasts.

About the Role:

The ideal candidate will have a strong background in data analysis, experience working directly with business stakeholders to translate between data and business needs, and excellent communication skills to convey complex ideas to non-technical stakeholders.

Responsibilities:

  • Data Analysis: Analyze large datasets to identify trends and patterns, and develop insights to inform business decisions.
  • Forecasting: Develop and maintain forecasting models to predict future demand and inventory levels.
  • Metrics Development: Collaborate with cross-functional teams to develop and implement key business metrics and dashboards.
  • Communication: Communicate complex data insights and recommendations to non-technical stakeholders.

A Day in the Life:

  • Customer Engagement: Engage regularly with customers to understand their forecasting needs and priorities.
  • Collaboration: Collaborate with cross-functional teams to develop and implement forecasting solutions.
  • Analysis: Conduct regular analysis to identify areas for improvement and optimize forecasting models.

Requirements:

  • Experience: 7+ years of professional or military experience.
  • Technical Skills: Strong SQL skills, experience working with large datasets, data visualization using Tableau, Quicksight, or similar tools, scripting for automation (e.g., Python), advanced SQL skills, theory and practice of design of experiments and statistical analysis of results.
  • Educational Qualifications: Master's degree in statistics, data science, or an equivalent quantitative field.

Benefits:

  • Competitive Salary: $150,000 - $250,000 per year, depending on location and qualifications.
  • Bonuses: Eligible for bonuses based on individual and company performance.
  • Stock Options: Eligible for stock options based on individual and company performance.
  • Health Insurance: Comprehensive health insurance package.
  • Retirement Plan: 401(k) retirement plan with company match.

Other Benefits:

  • Flexible Work Arrangements: Flexible work arrangements, including remote work options.
  • Professional Development: Opportunities for professional development and growth within the company.
  • Culture: Inclusive culture that values diversity, equity, and inclusion.


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