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Senior Business Intelligence Engineer, EU Hardlines CX, IDQ & Marketing

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Amazon

14d ago

  • Job
    Full-time
    Senior Level
  • Data
    Research & Development
  • Berlin

AI generated summary

  • You need experience in data analysis, visualization (Tableau/Quicksight), scripting (Python), advanced SQL, statistical programming, and cloud technologies (AWS). A master's in a quantitative field is required.
  • You will analyze customer behavior, develop personalization strategies, create dashboards, validate models, identify improvement opportunities, and mentor team members on analytics best practices.

Requirements

  • Experience managing, analyzing and communicating results to senior leadership
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.
  • Experience programming to extract, transform and clean large (multi-TB) data sets
  • Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.
  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience working as a BIE in a technology company
  • Master's degree in statistics, data science, or an equivalent quantitative field
  • Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
  • Experience with theory and practice of information retrieval, data science, machine learning and data mining
  • Experience with theory and practice of design of experiments and statistical analysis of results
  • Experience with Python, Spark SQL, QuickSight, AWS Lambda & React.js - Core tools of team

Responsibilities

  • Lead deep-dive analyses to uncover customer behaviour insights across strategic shopping experiences, including detail page engagement patterns, visualisation feature adoption, and search interaction flows
  • Partner with EU Retail leadership to analyse and understand core strategic shopping missions, developing analytical frameworks that shape search and browse experiences for key retail segments
  • Develop and implement detail page personalisation strategies, including context-based product recommendations
  • Validate new personalisation models through A/B testing and deep dive analytics, measuring impact on customer engagement and conversion metrics
  • Create and maintain business-critical P0s and QuickSight dashboards providing real-time visibility into CX & IDQ performance, enabling data-driven decisions across EU markets
  • Partner with cross-functional teams to identify improvement opportunities through data analysis and experimentation
  • Drive improvements in product data quality by identifying gaps through automated monitoring and analytical deep dives
  • Present complex analytical findings to senior leadership, influencing strategic decisions and prioritisation of CX/IDQ initiatives
  • Mentor team members on analytics best practices and foster data-driven decision making across the organisation

FAQs

What qualifications are required for this position?

A Master's degree in statistics, data science, or an equivalent quantitative field is required.

What tools and technologies will I be using in this role?

You will be using tools such as Python, Spark SQL, QuickSight, AWS Lambda, and React.js, along with data visualization tools like Tableau or Quicksight.

Is experience with statistical analysis a requirement for this position?

Yes, experience with statistical analytics and programming languages such as R or Python is necessary.

Will I be working directly with business stakeholders?

Yes, you will be working directly with business stakeholders to translate data insights into actionable business needs.

Is this position only available in specific locations?

Yes, the role is available in core EU5 offices: London, Paris, Munich, Madrid, and Milan.

Are there opportunities for mentoring in this role?

Yes, you will have the opportunity to mentor team members on analytics best practices.

Will I be involved in A/B testing and validating new models?

Yes, you will be responsible for validating new personalisation models through A/B testing and deep-dive analytics.

What types of analyses will I perform in this position?

You will conduct deep-dive analyses to uncover customer behaviour insights, including detail page engagement patterns and search interaction flows.

Is prior experience in a technology company necessary?

Yes, prior experience working as a Business Intelligence Engineer in a technology company is required.

What is the team's focus and vision?

The team's focus is on driving data innovation across Amazon's European stores, with a vision for highly relevant, personalised shopping experiences powered by an understanding of customer behavior and automation.

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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.