Logo of Huzzle

Home

Matches

Explore

Manage

Business Intelligence Engineer, Amazon Fresh

image

Amazon

14d ago

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

AI generated summary

  • You need experience with Redshift, Oracle, NoSQL, data visualization tools like Tableau, ETL, SQL, Python, statistical analysis, and AWS solutions in a business environment with complex datasets.
  • You will design and support datasets, create automated reports and dashboards, gather stakeholder requirements, analyze data using SQL, ensure data integrity, and respond quickly to high-priority requests.

Requirements

  • Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
  • Experience with SQL
  • Experience in the data/BI space
  • 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

Responsibilities

  • Design, implement, and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs.
  • Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our business needs.
  • Participate in developing client BIE roadmaps. Interface directly with customers and stakeholders, gathering requirements and supporting end-to-end reporting solutions.
  • Participate in developing department KPI’s and operational metrics to drive improvements in automation and robotics projects.
  • Develop complex queries for ad-hoc requests and projects, as well as ongoing reporting.
  • Deep dive into large data sets to answer key business questions using SQL, Excel, and other data manipulation languages.
  • Maintain data integrity, perform QA Audits and diligently troubleshoot issues.
  • Continually improve ongoing reporting and analysis processes, while automating or simplifying self-service support and access to authoritative data sets.
  • Generate daily, weekly, and monthly data reports for both internal and external business reviews.
  • Respond with urgency to high priority requests from senior business leaders.

FAQs

What locations are available for this Business Intelligence Engineer position?

The position can be located in Luxembourg, London, Berlin, Munich, Paris, or Milan.

What tools and technologies are preferred for this role?

Preferred tools include data visualization tools like Tableau or Quicksight, and AWS solutions such as EC2, DynamoDB, S3, and Redshift.

What are the key responsibilities of the Business Intelligence Engineer?

Key responsibilities include designing and implementing datasets, developing automated reporting systems, interacting with stakeholders, conducting data analysis, and generating various data reports.

What qualifications are required for this role?

Basic qualifications include experience with data analysis using Redshift or Oracle, data visualization, data modeling, SQL, and scripting in Python. Experience in the data/BI space is also required.

Is experience with statistical analysis tools necessary?

Yes, experience with statistical analysis packages such as R, SAS, and Matlab is part of the basic qualifications.

What is the team’s focus within Amazon Fresh?

The team focuses on empowering decision-making with actionable insights, balancing quick value delivery with a drive for self-service across the banners of International Amazon Fresh.

How does the team prioritize its projects?

The team prioritizes major projects every 6 months while also maintaining an ongoing intake for emerging initiatives and providing support for stakeholders.

Is there a requirement to respond urgently to requests?

Yes, the role includes responding with urgency to high priority requests from senior business leaders.

Does Amazon prioritize diversity in its hiring process?

Yes, Amazon is an equal opportunity employer and emphasizes the importance of a diverse workforce in its success.

What should applicants do if they need accommodation during the hiring process?

Applicants who require accommodations should visit Amazon's accommodations page for more information on support for the interview or onboarding process.

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.