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Business Intelligence Engineer, Amazon

Amazon

London

On-site

GBP 40,000 - 80,000

Full time

22 days ago

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Job summary

An innovative and customer-focused company is seeking a Business Intelligence Engineer to join their dynamic team. In this role, you will leverage your analytical skills to identify problems and implement solutions that enhance the customer experience. You will be responsible for building analytical frameworks, analyzing complex datasets, and collaborating with various teams to drive operational excellence. This role offers the opportunity to work in a fast-paced environment where your contributions will have a significant impact on the business. If you are passionate about data and thrive in a collaborative setting, this position is perfect for you.

Qualifications

  • Experience in data analysis and interpretation with various database technologies.
  • Strong skills in data visualization and statistical analysis tools.

Responsibilities

  • Define problems and build analytical frameworks to streamline operations.
  • Analyze data and metrics while sharing updates with internal teams.

Skills

Data Analysis
Communication Skills
Organizational Skills
Problem Solving
Statistical Analysis
Data Visualization
Scripting (Python)

Education

Bachelor's Degree in a relevant field

Tools

Redshift
Oracle
NoSQL
Tableau
Quicksight
R
SAS
Matlab
SQL

Job description

DESCRIPTION

The Conversational Search Shopping team is looking for an innovative, hands-on, and customer-obsessed Business Intelligence Engineer. The candidate must be detail-oriented, possess superior verbal and written communication skills, have strong organizational skills, and excellent technical skills, and should be able to juggle multiple tasks at once.

Key Job Responsibilities
The ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must accurately prioritize projects, make sound judgments, work to improve the customer experience, and get the right things done.

A Day in the Life
This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help streamline operations, identifying gaps in the existing process by analyzing data and liaising with relevant teams to address them, and analyzing data and metrics while sharing updates with internal teams.

BASIC QUALIFICATIONS

  1. Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
  2. Experience with data visualization using Tableau, Quicksight, or similar tools
  3. Experience with data modeling, warehousing, and building ETL pipelines
  4. Experience in Statistical Analysis packages such as R, SAS, and Matlab
  5. Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
  6. Experience in the data/BI space

PREFERRED QUALIFICATIONS

  1. Experience in data mining, ETL, etc., and using databases in a business environment with large-scale, complex datasets
  2. Experience working directly with business stakeholders to translate between data and business needs
  3. Experience managing, analyzing, and communicating results to senior leadership

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.

Amazon is committed to a diverse and inclusive workplace. We do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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.

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