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Amazon Senior Forecasting Analyst, SDS Forecasting in Hyderabad, India

Description

Do you love data, analytics, and working with a diverse team of global stakeholders? Do you want to drive initiatives that directly impact the customer experience globally? If you answer “Yes” to these questions, you’ve clicked the right career opportunity. Please read on.

We are looking for a Sr Forecasting Analyst to join our Worldwide Capacity Planning team. Our team owns the forecasting models that determine our customer service needs. You will be a part of the planning for Prime Day, Black Friday, Cyber Monday, etc. You will be responsible to drive process improvements, model improvements that will directly impact customer experience.

Here is what you would be doing:

• Forecast customer service contacts for Amazon Shipping and Delivery Support (SDS) vertical within Customer Service, responsible for planning for key events like Prime Day, Cyber Monday etc.

• Analyze existing forecasting model performance and recommend improvements to improve forecast accuracy and reduce manual overlays

• Work with upstream business teams to improve accuracy and mechanisms for inputs that directly impact forecast accuracy and therefore customer experience

• Coordinate with program teams on new initiatives, understand business/customer impact and create forecast to support business/program launches

• Lead discussions with leadership (L7/L8) on planning assumptions, highlight gaps in existing process and suggest mechanisms to improve customer experience

• Analyze forecast variance, dive deep to understand root cause, create bridges for forecast variance and present in business reviews.

• Partner with finance teams on monthly/quarterly financial reporting, to represent business story related to forecast variances

Basic Qualifications

  • Bachelor's degree in business, data science, public administration, finance, engineering, human resources or related field

  • 3+ years of data analysis experience

  • 3+ years of managing stakeholders in cross-functional project experience

  • Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.)

  • Experience implementing repeatable processes and driving automation or standardization

  • 3+ years of leading large complex programs experience

Preferred Qualifications

  • 2+ years of driving process improvements experience

  • Master's degree, or MBA in supply chain, business, engineering, finance or related technical or quantitative field

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