BIE Manager, Amazon

Amazon Development Centre (London) Limited
London
1 year ago
Applications closed

Conversational search shopping team is looking for an innovative, customer-obsessed BIE manager who is detail oriented, has superior verbal and written communication skills, strong organizational skills, and excellent technical skills . Candidate should be able to build an analytics roadmap to cater to the business needs of stakeholders, deliver mechanisms driving transparency to business stakeholders through building operating model and prioritization framework for the team.

The BIE Manager would support the analytical requirements of the Rufus features team. Candidate will be responsible for leading a team of BIEs partnering with the central DE team and business stakeholders and conducting deep dive analyses to solve complex business problems and to build robust/automated BIE solutions. He/she will also be responsible for driving analytical strategy for their respective function and enable data driven decision making. This position requires exceptional managerial skills, excellent statistical knowledge, superior analytical abilities, good knowledge of business intelligence solutions.The BIE Manager will also be a good stakeholder manager as he/she will have to work closely with senior stakeholders/leaders. Candidate should be comfortable with ambiguity, capable of working in a fast-paced environment, continuously improving technical skills to meet business needs, possess strong attention to detail and be able to collaborate with customers to understand and transform business problems into requirements and deliverables.


Key job responsibilities
Design, write, and drive detailed specifications for development and maintenance of robust reporting and other analytical systems
Working with partner tech teams to deliver an integrated roadmap, build prioritization framework and Operating model for the team
* Build and managing a team of BIEs to delivery roadmap projects while also delivering their personal learning goals and growth
* Building OP plans by working closely with senior leadership and stakeholders

BASIC QUALIFICATIONS

- 10+ years of business intelligence and analytics experience
- 2+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
- Experience with SQL
- Experience with ETL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software
- Experience with basic statistics to perform offline weblab analysis, Hypothesis testing,Correlational analysis etc.

PREFERRED QUALIFICATIONS

- 6+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.