Business Intelligence Engineer II, Amazon Sub Same Day

Amazon; London; On-site; GBP 60,000 - 85,000; Full time

Job summary

Amazon is looking for a Business Intelligence Engineer II to join the Sub Same Day business team. This pivotal role focuses on leveraging data analysis to influence business strategies and improve operational efficiency. The ideal candidate will thrive in a fast-paced environment and possess strong analytical and communication skills, supporting Amazon's commitment to innovation and customer satisfaction.

Qualifications

• 5+ years of analyzing and interpreting data.
• Experience with data visualization and statistical analysis.
• Proficient in SQL and data processing with Python.

Responsibilities

• Influence business decisions with data.
• Monitor key metrics and escalate anomalies.
• Provide inputs based on analytical findings.

Skills

Analytical skills

Detail-oriented

Data visualization

Teamwork

Communication

Data mining

Statistical Analysis

Education

Bachelor’s degree or equivalent experience

Tools

SQL

Excel

Tableau

Python

Redshift

Oracle

NoSQL

SAS

R

AWS

Job description

Business Intelligence Engineer II, Amazon Sub Same Day

The role of the Sub Same Day business is to provide ultrafast speeds (2 hour and same day scheduled) and reliable delivery for selection that customers fast. Customers find their daily essentials and a curated selection of Amazon’s top-selling items with sub same day promises. The program is highly cross-functional in nature, operations intensive and requires a number of India-first solutions to be created, which then need to be scaled WW.

In this context, SSD is looking for a talented, driven and experienced Business Analyst It is a pivotal role that will contribute to the evolution and success of one of the fastest growing businesses in the company.

Joining the Amazon team means partnering with a dynamic and creative group who set a high bar for innovation and success in a fast-paced and changing environment. The Business Analyst is responsible for being able to influence critical business decisions using data and providing insight to category teams to be able to act.

The successful candidate needs to have :
- A passion for numbers, data and challenges.
- High attention to detail and proven ability to manage multiple, competing priorities simultaneously.
- Excellent verbal and written communications skills.
- An ability to work in a fast-paced, complex environment where continuous innovation is desired.
- Bias for action and ownership.
- A history of teamwork and willingness to roll up one’s sleeves to get the job done.
- Ability to work with diverse teams and people across levels in an organization
- Proven analytical and quantitative skills (includes the ability to effectively use tools such as Excel and SQL) and an ability to use hard data and metrics to back up assumptions and justify business decisions.


Key job responsibilities
Key Responsibilities
- Influence business decisions with data.
- Use data resources to accomplished assigned analytical tasks relating to critical business metrics.
- Monitor key metrics and escalate anomalies as needed
- Provide input on suggested business actions based on analytical findings.

BASIC QUALIFICATIONS

- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

PREFERRED QUALIFICATIONS

- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

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