Business Intelligence Engineer - Same Day, EU Same Day Speed Innovation

Amazon; Milano; In loco; EUR 40.000 - 75.000; Tempo pieno

Descrizione del lavoro

Amazon seeks a Business Intelligence Engineer to enhance Same Day delivery operations through advanced data analytics and visualization. You will tackle complex data challenges, develop automated processes, and deliver actionable insights to drive business growth. Collaborate with diverse teams and leverage cutting-edge AWS tools in a dynamic environment.

Competenze

• Proven track record in data-driven roles.
• Experience with AWS tools including Quicksight and Sagemaker.
• Excellent collaboration with engineering and data teams.

Mansioni

• Design, develop, and implement automated processes for data.
• Analyze and visualize data to provide business insights.
• Communicate findings to senior leaders effectively.

Conoscenze

Business Intelligence

Data Visualization

SQL

Power BI

Data Analysis Skills

Data Modeling

Python

Statistical Analysis

Formazione

Master's degree in a relevant technical field

Strumenti

AWS Data Analytics

Quicksight

Tableau

Oracle

Redshift

NoSQL

Descrizione del lavoro

The Same Day Speed Innovation team is at the forefront of business growth and innovation in the EU. We are revolutionizing customer experience through faster delivery times and innovative fulfillment solutions. Our team operates at the crucial intersection of technology and operations, driving improvements across the entire Same Day delivery network. We are seeking a senior technical product leader capable of defining and driving product vision while navigating ambiguous problem spaces to enhance our Same Day capabilities.

Position Overview:

In this role, you will be responsible for solving complex and ambiguous data and metric problems. You will utilize the latest AWS Data Analytics and GenAI tools (such as Quicksight, Amazon Q, Sagemaker) to provide business metrics for senior leaders. Candidates should have a proven track record of end-to-end ownership and successfully delivering results in a fast-paced, dynamic environment with minimal supervision. The role requires working on complex initiatives and managing ambiguity. You will collaborate with senior leaders, product managers, DEX, finance, operations, program managers, and other data teams.

Key job responsibilities:

As a Business Intelligence Engineer, you will/may:

• Be highly data-driven, resourceful, customer-obsessed, and team-oriented.
• Utilize the latest AWS Data Analytics and GenAI tools (such as Quicksight, Amazon Q, Sagemaker).
• Design, develop, and implement scalable automated processes for data extraction, processing, and evaluation.
• Define data-driven approaches and metrics strategies to uncover new insights.
• Source, manipulate, and visualize data to tell compelling business stories.
• Communicate strategic findings and recommendations clearly.
• Translate complex technical concepts into business terms and vice versa.
• Collaborate with engineering and data teams to develop tools and dashboards.
• Analyze and interpret data using Redshift, Oracle, NoSQL, etc.
• Experience with data visualization tools such as Tableau, Quicksight, or similar.
• Proficiency with industry analytics and visualization tools (Excel, Tableau, PowerBI, MicroStrategy) and statistical methods (t-tests, Chi-squared tests).
• Experience with scripting languages (Python, Java, R) and SQL.
• Possess a master's degree or higher in a relevant technical field.
• Knowledge of data modeling and pipeline design.
• Experience with statistical analysis, correlation analysis, and data analysis skills.

Amazon is an equal opportunities employer. We value diversity and make recruiting decisions based on experience and skills. We prioritize your privacy and data security. For more information, please review our Privacy Notice. If you need workplace accommodations during the application or onboarding process, please contact us for support. If your country or region isn't listed, please reach out to your Recruiting Partner.

Key Skills: Business Intelligence, Cognos, SQL, Power BI, QlikView, Data Visualization, SSRS, Tableau, SSIS, Data Modeling, Data Warehouse, Data Analysis Skills

Employment Type: Full-Time

Experience: [Specify years]

Vacancy: 1