Business Analyst, analytics and insights, EU AMZL Capacity Planning Analytics

ACCA Careers; London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading company is seeking a Business Analyst in London to support the Capacity Planning Team. The role involves translating strategic questions into insights, developing analytical solutions, and engaging with various business partners. Ideal candidates will have strong analytical abilities, experience in data analysis, and excellent communication skills. The position offers exposure to multiple teams and a fast-paced work environment, making it perfect for those passionate about deriving insights from complex data.

Qualifications

• Strong data analysis skills, ability to produce, interpret and draw conclusions from data.
• Experience in mathematical modeling (statistics, optimization, econometrics).
• Ability to handle multiple competing priorities and projects in a fast-paced environment.

Responsibilities

• Provide central guidance and projections for weekly planning inputs.
• Translate key strategic questions into projects, identifying requirements.
• Develop insights from historical trends, share and interpret learnings.

Skills

Data Analysis

Communication

Problem Solving

Education

Bachelor's or Master's Degree in Engineering, Computer Science, Mathematics, or Econometrics

Tools

SQL

Quicksight

Tableau

R

Python

C++

Job description

Business Analyst, analytics and insights, EU AMZL Capacity Planning Analytics

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The goal of Amazon Logistics (AMZL) is to build a world class last mile operation. Amazon aims to exceed the expectations of our customers by ensuring that their orders are delivered quickly, accurately, and in the most cost effective way possible. The Capacity Planning Team provides AMZL with cost-optimal and flexible capacity solutions for in-station operations, year-round and enabling the business to scale for seasonal peak demand increases. This role is based out of the London corporate office LHR16

In order to support the fast growth of AMZL, we are constantly monitoring, evaluating and adjusting our planning inputs and insights. As an Analyst, Analytics & Insights in the Capacity Planning Team, you will translate key strategic questions into insights and forecasting planning inputs, having a direct impact on decision made by the team to ensure we are constantly improving our planning quality and processes.

This position requires high judgement, excellent analytical abilities and a creative mind to invent solutions to existing problems. It also offers broad exposure to various business, operational, financial, and technical teams across Amazon. If you are someone who is passionate about getting insights from data, who systematically breaks down highly complex and ambiguous problems with ease and who enjoys working on a fast paced environment, we would love to speak with you!

Key job responsibilities

• Provide central guidance and projections for weekly planning inputs
• Translate key strategic questions into projects, identifying requirements and relevant stakeholder groups
• Develop insights from the historical trends, including reports and documents, share and interpret those learnings with senior leadership
• Actively explore and design scalable execution plans for long-term strategic planning opportunities
  
  

A day in the life

DILO For This Would Be

• Engaging with talented group of analytical leaders in the team who work on complex business problems
• Connecting with business partners (Planning team, S&OP, Central Ops, Country DSP ... etc) to understand the business problem and build an analytical solution to address the same
• Develop and deploy an analytical solution (from setting up data pipeline to building a user-friendly report/application/analysis) and share insights back to business leaders using a white paper
• Actively engaging in Scrum Sprints to win as a team
  
  

Basic Qualifications

• A bachelor's or master's degree - ideally in Engineering, Computer Science, Mathematics, or Econometrics
• Previous analytical work experience
• Strong data analysis skills, ability to produce, interpret and draw conclusions from data
• Experience in mathematical modeling (statistics, optimization, econometrics)
• Strong communication and interpersonal skills;
• Excellent written and verbal communication skills. Ability to simplify complex topics for broad audiences.
• Good team player and the ability to work with a wide cross-section of people in various locations
• Creative and ideas-driven in finding new solutions/ designing innovative methods, systems and processes.
• Ability to handle multiple competing priorities and projects in a fast-paced environment.
  
  

Preferred Qualifications

• Experience using SQL to extract data from a database or data warehouse and building ETL pipelines
• Visualization tools experience: Quicksight/Tableau or similar tools
• Scripting Experience: R/Python/C++
• (Optional) Experience with AWS solutions (S3, Athena, Sagemaker)
  
  

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Accounting

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