Business Analyst Support, Inbound Supply Chain

Amazon; London; On-site; GBP 100,000 - 125,000; Full time

Job summary

An established industry player is seeking a detail-oriented Business Analyst to support their Inbound Supply Chain. This role involves creating complex SQL queries, automating tasks with Python, and building data pipelines and dashboards to drive business insights. The ideal candidate will thrive in a collaborative environment, quickly identify data issues, and innovate solutions during peak periods. If you are passionate about analytics and eager to make an impact, this is an exciting opportunity to join a dynamic team.

Qualifications

• 2+ years of experience in data analytics or automation.
• Proficient in SQL, Python, R, and data mining tools.

Responsibilities

• Design and maintain data pipelines and dashboards to support business decisions.
• Collaborate with stakeholders to automate and improve processes.

Skills

SQL

Python

Data Analytics

ETL

R

MS Excel

Data Mining

Scripting

Education

Bachelor's Degree in a related field

Tools

SAS

SPSS

Job description

Business Analyst Support, Inbound Supply Chain

The candidate will be responsible for creating and maintaining complex SQL queries, scheduling and refreshing ETL jobs, automating manual tasks using Python, building data pipelines and dashboards, handling deep-dive requests, modifying existing analytical frameworks, and providing data support to stakeholders. The person should understand business requirements, quickly identify root causes of reporting, BI, or data issues, and draft effective solutions, especially during peak periods like planning seasons. The ideal candidate is detail-oriented, proactive, and passionate about analytics, BI, and automation.

Key responsibilities include:

1. Designing, developing, and maintaining data pipelines, queries, reports, analyses, and dashboards to support business decisions, ensuring data accuracy.
2. Collaborating with stakeholders to understand needs and automate or improve processes.
3. Learning and applying new data and analytical techniques.
4. Solving business problems through data-driven solutions.
5. Innovating to improve existing work or develop new ideas.

BASIC QUALIFICATIONS

• At least 2 years of experience in data analytics or automation.
• Proficiency in SQL, Python, R, scripting, MS Excel, table joins, and analytical functions.
• Experience with data mining tools like SQL, SAS, SPSS, or similar.

PREFERRED QUALIFICATIONS

• Knowledge of data pipelining and data extraction using SQL.

We promote an inclusive culture that empowers employees to deliver the best results. If you need workplace accommodations during the application or onboarding process, please visit this link. Amazon is an equal opportunity employer and does not discriminate based on veteran status, disability, or other protected classes.