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Business Intelligence Engineer , Amazon Last Mile

Amazon

London

On-site

GBP 40,000 - 80,000

Full time

30+ days ago

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Job summary

Join a forward-thinking company where you can leverage your analytical skills to drive improvements in delivery operations. As a Business Intelligence Engineer, you'll work with cross-functional teams to analyze data and generate insights that enhance the efficiency and quality of last-mile delivery systems. This role offers the opportunity to present your findings to senior leadership and contribute to innovative solutions that shape the future of logistics. If you're passionate about data and eager to make a significant impact, this position is perfect for you.

Qualifications

  • 2+ years of experience in data analysis and interpretation.
  • Proficiency in data visualization tools like Tableau and Quicksight.

Responsibilities

  • Create actionable business insights to improve operations.
  • Collaborate with teams to design and develop analytic capabilities.

Skills

Data Analysis
Statistical Analysis
Business Acumen
Effective Communication
Cross-functional Team Collaboration

Education

Bachelor's Degree
Master's Degree or Advanced Technical Degree

Tools

Redshift
Oracle
NoSQL
Tableau
Quicksight
Excel
Python
Java
R

Job description

Business Intelligence Engineer, Amazon Last Mile

Come help Amazon create cutting-edge data and science-driven technologies for delivering packages to the doorstep of our customers! The Last Mile Routing & Planning organization builds the software, algorithms, and tools that make the “magic” of home delivery happen: our flow, sort, dispatch, and routing intelligence systems are responsible for the billions of daily decisions needed to plan and execute safe, efficient, and frustration-free routes for drivers around the world. Our team supports deliveries (and pickups!) for Amazon Logistics, Prime Now, Amazon Flex, Amazon Fresh, Lockers, and other new initiatives.


As part of the Last Mile Science & Technology organization, you’ll partner closely with Product Managers, Data Scientists, and Software Engineers to drive improvements in Amazon's Last Mile delivery network. You will leverage data and analytics to generate insights that accelerate the scale, efficiency, and quality of the routes we build for our drivers through our end-to-end last mile planning systems. You will present your analyses, plans, and recommendations to senior leadership and connect new ideas to drive change. Analytical ingenuity and leadership, business acumen, effective communication capabilities, and the ability to work effectively with cross-functional teams in a fast-paced environment are critical skills for this role.


Responsibilities:
  1. Create actionable business insights through analytical and statistical rigor to answer business questions, drive business decisions, and develop recommendations to improve operations.
  2. Collaborate with Product Managers, software engineering, data science, and data engineering partners to design and develop analytic capabilities.
  3. Define and govern key business metrics, build automated dashboards and analytic self-service capabilities, and engineer data-driven processes that drive business value.
  4. Navigate ambiguity to develop analytic solutions and shape work for junior team members.
BASIC QUALIFICATIONS
  • 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
  • Experience with data visualization using Tableau, Quicksight, or similar tools.
  • Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared).
  • Experience with scripting language (e.g., Python, Java, or R).
PREFERRED QUALIFICATIONS
  • Master's degree, or Advanced technical degree.
  • Knowledge of data modeling and data pipeline design.
  • Experience with statistical analysis, co-relation analysis.

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 this link for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.

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