Sr. Business Intel Engineer, FBA EU

Amazon; Milano; In loco; EUR 60.000 - 80.000; Tempo pieno

Descrizione del lavoro

A global e-commerce leader is seeking a Business Intelligence Engineer in Milan. This role involves leading compliance analytics and developing tech solutions to simplify processes and enhance the fulfillment experience. The successful candidate will develop reporting solutions, collaborate cross-functionally, and mentor junior engineers. A background in data analysis with tools like Redshift, SQL, and experience in data visualization with Tableau or similar is essential. A commitment to work-life balance and an inclusive culture is also part of this position.

Servizi

Work-life balance

Mentorship and career growth

Inclusive team culture

Competenze

• 5+ years of experience analyzing and interpreting data.
• Proficient in data visualization tools like Tableau or Quicksight.
• Experienced in data modeling, warehousing, ETL pipelines.
• Familiar with Statistical Analysis packages such as R or SAS.
• Strong SQL skills and Python scripting experience.

Mansioni

• Develop and manage business reviews and data visuals.
• Collaborate with various teams for scalable framework.
• Optimize data tables and automate data pipelines.
• Conduct analyses of new seller programs and legislation impact.
• Mentor junior engineers and share BI best practices.

Conoscenze

Data analysis

Data visualization

ETL pipelines

Statistical analysis

SQL

Python scripting

Strumenti

Redshift

Tableau

Quicksight

AWS (EC2, DynamoDB, S3)

Descrizione del lavoro

The FBA Analytics team is seeking a Business Intelligence Engineer to lead compliance analytics and develop tech solutions that simplify Placement and Speed processes, and the fulfillment experience. In this role, you will take full ownership of BI processes—from identifying opportunities and defining problems to scoping new ideas, estimating financial impact, and developing data engineering, reporting, and visualization solutions. You will collaborate with stakeholders across the EU and globally. This role provides exposure to senior leadership and the opportunity to develop a holistic understanding of FBA business.

Key job responsibilities

• Reporting: Develop and manage Weekly, Monthly, and Quarterly Business Reviews and data visualizations for topline metrics, programs, and goals.
• Cross‑functional Collaboration: Partner with teams such as the Placement & Speed team, EU Supply Chain team, WW FBA team, and Account Managers to build scalable frameworks and drive implementation.
• Data Management: Create and optimize data tables, automate data pipelines, and integrate new data sources outside the existing data lake.
• Strategic Analysis: Conduct in-depth analyses of new seller‑facing programs, estimate the impact of new legislation and associated risks, model business scenarios, and design tailored data visualizations.
• Mentoring: Play a key role within the analytics team by sharing knowledge, formalizing BI best practices, and mentoring junior engineers and analysts.

A day in the life

Work/Life Balance Our team puts a high value on work‑life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life‑long happiness and fulfilment.

Inclusive Team Culture Our team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Yes, we do get to build a really cool service, but we also think a big reason for that is inclusive and welcoming culture we try to cultivate every day.

Mentorship & Career Growth We care about your career growth. Whether your goals are to explore new design concepts, take on bigger opportunities, or get to the next level, we’ll help you get there. Our business is growing fast and our people will grow with it.

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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.