Business Intelligence Engineer, S&A

10 minuti fa


Pisa, Italia Amazon A tempo pieno

Amazon is one of the world’s largest and most customer‑centric companies, continuously innovating to make customers’ lives easier. We are seeking a Business Intelligence Engineer to join our dynamic team, driving data‑driven decision‑making and fostering innovation at scale. As a Business Intelligence Engineer at Amazon, you will play a pivotal role in leveraging data to drive insights and support strategic decision‑making across the organization. You will be responsible for designing and developing scalable data models, performing statistical analysis, and delivering actionable insights through effective storytelling. Key Job Responsibilities Expertise in SQL for data modelling and architecture design (3+ years industry experience). Proficiency in Python for data wrangling, exploratory data analysis, and model evaluation (preferred 3+ years industry experience). Experience building and evaluating data models. Create compelling data visualisations and dashboards to communicate insights. Knowledge of AWS products such as Redshift, QuickSight or similar cloud stack. Collaborate with product, engineering and business teams to translate ambiguous problems into technical requirements and build data‑driven solutions. Excellent verbal and written communication & data presentation skills, including ability to succinctly summarise key findings and effectively communicate with both business and technical teams. About the team The S&A team plays a crucial role in Operations Finance by leading our data infrastructure transformation. Over the past four years, our business has undergone significant structural changes, creating challenges in managing our data infrastructure effectively. To address these challenges, we established the S&A team with a clear mission: to align technology solutions with organisational goals through standardisation and automation of core finance functions – planning, bridging, reporting and controllership. Our team’s primary objective is to break down existing data silos while preventing new ones from forming, enabling faster automation initiatives and promoting standardisation across all finance functions. Through centralisation, we can reduce duplicate efforts across teams and create more efficient operations throughout Operations Finance. Basic Qualifications 3+ years of analysing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualisation using Tableau, QuickSight or similar tools. Experience with data modelling, warehousing and building ETL pipelines. Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelling. 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. #J-18808-Ljbffr



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