Attiva gli avvisi di lavoro via e-mail!

Business Intelligence Engineer, EU MFN

Amazon EU SARL (Italy Branch)

Milano

In loco

EUR 42.000 - 68.000

Tempo pieno

5 giorni fa
Candidati tra i primi

Aumenta le tue possibilità di ottenere un colloquio

Crea un curriculum personalizzato per un lavoro specifico per avere più probabilità di riuscita.

Descrizione del lavoro

A leading company in e-commerce seeks a Business Intelligence Engineer in Milan to enhance data-driven decision-making. This role involves analyzing data, developing reporting solutions, and influencing stakeholders with actionable insights. Candidates should have strong skills in data analysis, visualization, and statistical analysis, as well as experience with tools like SQL and Tableau.

Competenze

  • Experience with data visualization tools like Tableau or Quicksight.
  • Strong background in statistical analysis and data modeling.
  • Ability to script in Python for data processing.

Mansioni

  • Design reporting solutions for decision-making.
  • Develop and maintain reports using SQL and scripting.
  • Conduct data audits and create visualizations.

Conoscenze

Data analysis
Data visualization
Statistical analysis
Data modeling
ETL processes
SQL
Python

Formazione

Experience in data/BI space

Strumenti

Tableau
Quicksight
Redshift
Oracle
NoSQL

Descrizione del lavoro

Social network you want to login/join with:

Business Intelligence Engineer, EU MFN, Milan

col-narrow-left

Client:

Amazon EU SARL (Italy Branch)

Location:
Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Reference:

890f5e6f758a

Job Views:

3

Posted:

24.06.2025

Expiry Date:

08.08.2025

col-wide

Job Description:

DESCRIPTION
Our vision is to be earth's most customer-centric company; to build a place where people can come to find and discover anything they might want to buy online. In line with our vision, we support sellers to offer their selection on Amazon and fulfill out of their own warehouses (Merchant Fulfillment Network).

Position Summary & Responsibilities

We are seeking a strong business intelligence engineer who can surface key insights from data. You will contribute to the long-term vision for the team, conduct data analyses, identify high-impact opportunities for predictive analysis and business experimentation, improve data integrity, create metrics that fill knowledge gaps, model and visualize data patterns, support data reporting needs, and analyze the quantitative impact of business experiments and innovations. Additionally, this role will be instrumental in the continued development of a reliable and scalable infrastructure for ongoing analytics and reporting in order to deliver actionable insights to business leaders. As a business analyst you will work with program managers to communicate insights to key stakeholders. You will not only execute on the required skills but also be able to influence, educate, and drive results in a fast-paced, ambiguous environment.

Key responsibilities include:
- Design and implement reporting solutions enabling program and product managers to make effective decisions.
- Monitor existing metrics, develop and propose new metrics, and identify new, actionable insights.
- Develop, validate, and maintain recurring or ad hoc reports to ensure accurate up-to-date reporting using SQL, Excel and/or other scripting languages. Including conducting audits and building insightful visualizations using Tableau, QuickSight, etc.
- Basic understanding of statistical analysis, identifying trends and making recommendations based on data analysis.



BASIC QUALIFICATIONS

Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
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
Experience with SQL
Experience in the data/BI space

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

Ottieni la revisione del curriculum gratis e riservata.
oppure trascina qui un file PDF, DOC, DOCX, ODT o PAGES di non oltre 5 MB.