Sr.Manager BIE

Amazon UK Services Ltd. - A10
London
1 year ago
Applications closed

Related Jobs

View all jobs

Sr. Data Scientist

Sr Data Scientist

Senior Data Scientist

Senior Data Scientist

Data Scientist

Data Scientist

Job summary
Love data as much as we do? Want to influence strategy with data analytics at Amazon? We have the career for you. AMXL Strategy team is looking for a Business Intelligence Manager to help build our BI team to own our reporting, metrics creation, KPI definition and cross-functional mechanisms to fuel our success. As a leader supporting BI effort across the organization, you will partner with multiple verticals to drive clarity among a broad set of key stakeholders and partners. Your work will be foundational--in this role, you will work on developing new analytical and reporting platform to support key initiatives. You will partner with business stakeholders to drive actionable findings and recommendations to drive key business outcomes for our business. The visibility that your work provides will enable us to improve Amazon employee experience.

To succeed in this role, you must thrive in ambiguity, enjoy cross-functional collaboration, be excited about building new products and have strong communication skills. You will be responsible for designing and implementing reporting solutions using Amazon cloud technologies. A successful candidate knows and loves working with business intelligence tools, is comfortable accessing and working with big data from multiple sources, and passionately partners with the business to identify strategic opportunities and deliver results. You should have an internal drive to answer “why?” questions, excellent analytical abilities, strong technical skills, as well as superior written and verbal communication skills. S/he would be a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoy working in a fast-paced dynamic environment.

Key job responsibilities
• Hire, manage, and coach a team of Business Intelligence Engineers.
• Engage with leadership and diversified customer groups to understand the needs and recommend business intelligence solutions.
• Strong leadership, vision and passion to build and drive a Business Intelligence team to create changes in business partnerships, analytics, and metrics/reporting.
• Drive the design, development and implementation of our analytics to provide stakeholders with structured access to data.
• Champion proper adoption of self-service analytic tools and reporting environments.
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards that monitor and to drive key business decisions.

Basic qualifications

• Bachelor’s degree in a quantitative area such as math, statistics, computer science, engineering or equivalent experience • Experience in analytics, data engineering, market research or related field • Experience managing and hiring a team of business intelligence engineers or business analysts • Proficient in SQL working with large-scale, complex datasets from multiple sources. • Advanced skills in Excel as well as any data visualization tools like Amazon Quicksight, Tableau, or similar BI tools. • Experienced in ETL, data modeling and big data tools.

Preferred qualifications
• Engineering experience. • People management experience, managing business intelligence engineers. • Experience in designing and delivering cross functional custom reporting solutions. • Experience with Massively Parallel Processing (MPP) databases - Redshift (preferred) • Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical stakeholders.

Key job responsibilities
Key job responsibilities
• Hire, manage, and coach a team of Business Intelligence Engineers.
• Engage with leadership and diversified customer groups to understand the needs and recommend business intelligence solutions.
• Strong leadership, vision and passion to build and drive a Business Intelligence team to create changes in business partnerships, analytics, and metrics/reporting.
• Drive the design, development and implementation of our analytics to provide stakeholders with structured access to data.
• Champion proper adoption of self-service analytic tools and reporting environments.
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards that monitor and to drive key business decisions.

We are open to hiring candidates to work out of one of the following locations:

London, GBR

BASIC QUALIFICATIONS

- Experience managing a data or BI team
- Experience in the data/BI space
- Knowledge of a scripting language (Python, R, etc.)
- Experience managing analytics, data science or technology teams, with a product or insight focus
- Experience with AWS data warehouse and reporting technologies like Redshift, Athena, S3, etc.
- Knowledge of SQL and Excel
- Knowledge of data engineering pipelines, cloud solutions, ETL management, databases, visualizations and analytical platforms

PREFERRED QUALIFICATIONS

- Knowledge of product experimentation (A/B testing)

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.