Logo of Huzzle

Home

Matches

Explore

Manage

Business Intelligence Engineer (L4), EU CF Process Engineering

image

Amazon

8d ago

  • Job
    Full-time
    Mid & Senior Level
  • Data
    Business, Operations & Strategy
  • Barcelona

AI generated summary

  • You need to have experience with ETL, data models, and queries; scripting (Python/Java/R); analytics tools (Tableau/PowerBI); and data analysis with Redshift/NoSQL, plus statistical analysis skills.
  • You will manage requirements from partners, design scalable solutions, drive operational excellence, and develop analytics tools and dashboards using data and AWS services.

Requirements

  • Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries)
  • Experience with scripting language (e.g., Python, Java, or R)
  • Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
  • Experience with statistical analysis, co-relation analysis

Responsibilities

  • 1. Managing intake, coordinating, and gathering requirements from business partners to handle increased data volume and the demand for more cost-efficient and scalable pipelines and tech solutions.
  • 2. Prioritizing initiatives, Designing and implementing technical solutions with appropriate strategies and design principles.
  • 3. Driving best practices in Operational Excellence.
  • 4. Developing analytics dashboards, deep-dive tools, and influencing product roadmaps using data, AWS services, and insights.

FAQs

What is the primary responsibility of a Business Intelligence Engineer in this role?

The primary responsibility includes developing analytics dashboards, deep-dive tools, and influencing product roadmaps using data, AWS services, and insights to drive performance measurement, innovation, and execution in Fulfillment Centre Operations.

What technical skills are required for this position?

The ideal candidate should have strong SQL skills, proficiency in Python, and experience with ETL, dashboard development, and cloud environments, particularly AWS. Knowledge of JavaScript is preferred.

Which analytics visualization tools should candidates be familiar with?

Candidates should have experience with industry analytics visualization tools such as Tableau, QuickSight, Excel, MicroStrategy, or PowerBI.

Is experience in statistical analysis necessary for this role?

Yes, experience with statistical analysis, including methods such as t-tests and Chi-squared, as well as correlation analysis, is required.

What is the team culture like in the EU Process Engineering group?

The team fosters a culture of Day 1, promoting continuous improvement, problem-solving, and viewing every defect as an opportunity for growth and higher standards.

Will the Business Intelligence Engineer work independently or collaborate with others?

The Business Intelligence Engineer will collaborate closely with Amazon Fulfillment Center Operations and data teams to gather requirements and develop analytics solutions.

What qualifications are preferred for candidates regarding data analysis tools?

Preferred qualifications include experience in analyzing and interpreting data using SQL-based databases like Redshift, Oracle, and NoSQL databases.

What does the hiring process focus on?

The hiring process focuses on candidates' experience and skills, as well as their passion for discovering, inventing, simplifying, and building innovative solutions.

Is there an emphasis on diversity in the hiring process?

Yes, Amazon is committed to employing a diverse workforce and values the unique skills and experiences that candidates bring.

What kind of mindset is encouraged within the team?

The team encourages a Continuous Improvement and Problem-Solving Mindset, aiming to eliminate process variation and implement cutting-edge best practices across Fulfillment Centers.

Amazon

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.