Logo of Huzzle

Home

Matches

Explore

Manage

Find 52,000+ jobs, internships & events from 6,000+ top companies on Huzzle using AI

Business Intelligence Engineer, EU Hardlines Marketing

image

Amazon

5d ago

  • Job
    Full-time
    Senior Level
  • Data
    IT & Cybersecurity
  • Berlin
    Remote

AI generated summary

  • You need experience with large data sets, AWS, Python, SQL, statistical analysis, data visualization, and working with business stakeholders to communicate insights to leadership.
  • You will design automated marketing models, create customer segmentation, analyze experiments, develop reporting solutions, and communicate insights to improve marketing performance and drive adoption.

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
  • Experience managing, analyzing and communicating results to senior leadership

Responsibilities

  • Designing, delivering and maintaining Automated Marketing Models that connect customers with relevant products, leveraging customer behavior data and shopping patterns
  • Creating advanced customer segmentation frameworks based on propensity modelling and behavioural analysis to enable targeted marketing experiences
  • Building and maintaining an automated monitoring system that identifies improvement opportunities across our marketing experiences
  • Establishing automated feedback loops and quality controls that continuously improve the performance of our marketing models and customer experiences
  • Working with cross-functional teams to design and analyse experiments that validate new automated marketing approaches and segment strategies
  • Developing scalable, automated reporting solutions that track the health and performance of our marketing models and segments
  • Creating clear documentation and frameworks that enable broad adoption of our automated solutions across marketing teams
  • Building deep expertise in our marketing automation tools and systems, while continuously identifying opportunities to improve their capabilities
  • Communicating complex analytical findings to stakeholders with a focus on making clear the insights, assumptions, and opportunities for improvement
  • Partnering with product and marketing teams to understand business needs and convert them into analytical solutions that can be automated and scaled

FAQs

What programming skills are required for this position?

The position requires experience in programming to extract, transform, and clean large data sets, as well as proficiency in scripting for automation using languages such as Python and advanced SQL skills.

What type of data analysis experience is necessary?

Candidates should have experience with the theory and practice of design of experiments and statistical analysis of results, in addition to experience with information retrieval, data science, machine learning, and data mining.

Which AWS technologies should candidates be familiar with?

Candidates should have experience with AWS technologies, although specific services are not listed in the job description.

What visualization tools are preferred for this role?

Experience with data visualization tools such as Tableau, Quicksight, or similar tools is preferred for this position.

Will I be working with business stakeholders?

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

What key responsibilities will I have in this role?

Key responsibilities include designing and maintaining automated marketing models, creating customer segmentation frameworks, building monitoring systems for improvement, and developing scalable reporting solutions.

How will my work impact Amazon's marketing strategies?

Your work will drive automated marketing solutions that enhance customer experiences and connect them with relevant products, ultimately shaping the future of online retail at scale.

Is there an opportunity for career growth within the team?

Yes, the role provides an opportunity to build deep expertise in marketing automation tools and contribute to innovative solutions, allowing for professional growth within the organization.

What is the team culture like at EU Hardlines Customer Insights & Analytics?

The team has a strong culture of innovation, emphasizing technical excellence and customer obsession, and collaborates across various technical disciplines to enhance the shopping experience for customers.

Are there accommodations available for individuals with disabilities?

Yes, Amazon provides workplace accommodations or adjustments during the application and hiring process for individuals with disabilities.

image

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.