Business Intelligence Engineer, Amazon Fresh

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

Job summary

An established industry player is seeking a proactive Business Intelligence Engineer to transform data into actionable insights. In this dynamic role, you will design and implement key datasets, develop automated systems, and support stakeholders with timely business information. You will dive deep into large datasets, utilizing SQL and various data manipulation tools, to answer critical business questions. Join a diverse and inclusive team that values innovation and collaboration, and contribute to exciting projects that drive improvements in automation and robotics. If you're passionate about data and eager to make a significant impact, this opportunity is perfect for you.

Qualifications

• Experience in analyzing data with various databases and visualization tools.
• Proficiency in SQL and Python for data processing and modeling.

Responsibilities

• Design and support datasets for actionable business information.
• Develop automated systems and reports to meet business needs.

Skills

Data Analysis

Statistical Analysis

Problem Solving

Data Visualization

Data Mining

Data Manipulation

Education

Bachelor's Degree in a related field

Tools

SQL

Tableau

Quicksight

Python

AWS (EC2, DynamoDB, S3, Redshift)

Redshift

Oracle

NoSQL

Job description

Business Intelligence Engineer, Amazon Fresh

Do you enjoy transforming data into actionable insights and taking a data-driven approach to solving complex business problems? Amazon Fresh is looking for a pro-active Business Intelligence Engineer with strong technical and analytical skills. We are currently looking for a BIE who can be located in Luxembourg, London, Berlin, Munich, Paris, or Milan.

Key job responsibilities

1. Design, implement, and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs.
2. Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our business needs.
3. Participate in developing client BIE roadmaps. Interface directly with customers and stakeholders, gathering requirements and supporting end-to-end reporting solutions.
4. Participate in developing department KPI’s and operational metrics to drive improvements in automation and robotics projects.
5. Develop complex queries for ad-hoc requests and projects, as well as ongoing reporting.
6. Deep dive into large data sets to answer key business questions using SQL, Excel, and other data manipulation languages.
7. Maintain data integrity, perform QA Audits and diligently troubleshoot issues.
8. Continually improve ongoing reporting and analysis processes, while automating or simplifying self-service support and access to authoritative data sets.
9. Generate daily, weekly, and monthly data reports for both internal and external business reviews.
10. Respond with urgency to high priority requests from senior business leaders.

About the team

Within International Amazon Fresh, AIS (Analytics, Insights and Science) strives to empower decision-making with actionable insights across banners. The team intentionally balances delivering value quickly (Minimum Lovable Products/P0), while driving for self-service. We partner with WW analytics teams to scale our work and de-duplicate efforts by working away. The team prioritises big rocks every 6 months whilst retaining a year-round SIM intake for emerging initiatives along with providing on-call and office hours for our stakeholders.

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

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 to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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 the accommodations page for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.