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Sr Business Intelligence Engineer, BPX - Product

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Amazon

14d ago

  • Job
    Full-time
    Senior & Expert Level
  • Data
  • Madrid

AI generated summary

  • You must have experience in data extraction and cleaning, statistical analysis, AWS, Python scripting, SQL, data visualization, and translating business needs into actionable insights.
  • You will analyze business problems, develop BI solutions, train stakeholders, uncover opportunities, and communicate findings to leadership while enhancing processes and models for decision-making.

Requirements

  • Experience programming to extract, transform and clean large (multi-TB) data sets
  • Experience with theory and practice of design of experiments and statistical analysis of results
  • Experience with AWS technologies
  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.
  • Experience with theory and practice of information retrieval, data science, machine learning and data mining
  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience with SQL
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience in the data/BI space

Responsibilities

  • - Collaborating with multiple teams across various functional areas and geographies WW to extract the business requirements and to propose strategic and tactical levers for developing the B2B marketplace.
  • - Analyze and solve business problems at their root, stepping back to understand the broader context.
  • - Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that will shape the future of the Amazon Business.
  • - Develop end-to-end self-service BI solutions to support decision making for the key stakeholders in the EU as well as WW.
  • - Train business stakeholders to use the BI tools and to be autonomous in data analysis.
  • - Research and implement novel approaches to enhance existing technical and business processes to improve customers and stakeholders experience.
  • - Develop and roll out mathematical models and algorithms to understand customer and vendor behavior and needs.
  • - Experience managing, analyzing and communicating results to senior leadership.

FAQs

What programming experience is required for this role?

The role requires experience programming to extract, transform, and clean large (multi-TB) data sets.

Is experience with AWS technologies necessary?

Yes, experience with AWS technologies is a requirement for this position.

What scripting languages should I be familiar with?

You should have experience in scripting for automation, specifically with Python, as well as advanced SQL skills.

What kind of statistical knowledge is expected?

The position requires experience with the theory and practice of design of experiments and statistical analysis of results.

Will I need to interact with business stakeholders?

Yes, you will need experience working directly with business stakeholders to translate data into business needs.

What data visualization tools are preferred for this position?

Experience with data visualization tools like Tableau, Quicksight, or similar tools is required.

What is the focus area of the Amazon Business team?

The Amazon Business team focuses on building the largest and most innovative B2B marketplace to serve a diverse range of business customers.

What qualifications should I have to be considered a good fit for this role?

A suitable candidate should be results-oriented, an innovator, capable of complex problem-solving, possess high standards, be customer-obsessed, and thrive in ambiguous environments.

What are the key responsibilities of this job?

Key responsibilities include collaborating with teams to extract business requirements, analyzing and solving business problems, developing self-service BI solutions, training stakeholders, and implementing models to understand customer behavior.

Is there an opportunity for professional growth within this role?

Yes, the position involves developing and expanding your skill set in business intelligence and analytics, as well as the opportunity to influence decision-making at senior leadership levels.

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.