National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Sr. Business Intelligence Engineer, Alexa International

Amazon
Greater London
3 months ago
Create job alert

The Alexa International team is looking for a Senior Business Intelligence Engineer to measure, analyze, and deliver actionable insights that drive customer engagement and satisfaction while growing operational productivity across the Alexa International organization. A successful candidate will be able to partner effectively with both business and technical teams, including clear communication of results across a variety of stakeholders in a fast paced environment. They/they will be an expert in SQL/ETL and data manipulation, with a proven track record of connecting data insights to business impact. They/they will be able to present analytical results and insights clearly using multiple methods, including written summaries and visualization/reporting tools such as Tableau. The candidate will also have an eye for optimization and automation in reporting.

Key job responsibilities
· Interface with internal business customers to gather data and metrics requirements
· Own the design, development, and maintenance of ongoing metrics and reporting to deliver key business insights
· Homogenize metrics, reports and tools across business functions and automate where possible
· Create data visualizations to make data more interpretable for the business
· Develop and publish self-service tools and bridging/deep dive reports
· Own and perform individual deep dive analyses on our customers, including communicating results and implications to business leaders
· Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation, always insisting on the highest standards.

Basic Qualifications:
· Bachelor’s degree in math, computer science, engineering, finance, statistics, or a related technical field.
· Relevant professional experience in business intelligence, analytics, statistics, data engineering, data science or related field
· Experience working directly with business stakeholders to translate between data and business needs
· Experience using SQL, ETL and databases in a business environment with large-scale, complex datasets
· Experience with data visualization using Tableau, Quicksight, or similar tools
· Ability to effectively prioritize projects, manage multiple competing priorities simultaneously, and drive projects to completion under tight deadlines.
· Excellent written and verbal communication skills

Preferred Qualifications:
· Master’s in math, computer science, engineering, finance, statistics, or a related technical field.
· Proficiency in one of the following; R, Python, SAS, STATA, MATLAB (data extraction, manipulation, statistical analysis and predictive modeling).
· Experience in data visualization and reporting, preferably in Tableau, Shiny, and/or D3.js.
· Proven track record in driving customer/developer behavior using segmentation experimentation.
· Experience working with AWS technologies including Redshift, RDS, S3, EMR, Kinesis, EC2.

About the team
Alexa International BI team owns and supports all data, analytical and reporting requests from EMEA Country teams. Alexa International BI works closely with business stakeholders across EMEA org, Alexa central BI/DE teams, Alexa Domain BI teams, Device BI teams.

BASIC QUALIFICATIONS

- 10+ years of professional or military experience
- 5+ years of SQL experience
- 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

PREFERRED QUALIFICATIONS

- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership

Related Jobs

View all jobs

Sr. Business Intelligence Engineer, JP Seller Services

Sr. Business Intelligence Engineer, GOX - Global Operational Excellence

Sr. Business Intelligence Engineer, Prime Video Channels - Customer Insights

Sr. Business Intelligence Engineer, GOX - Global Operational Excellence

Sr. Business Intelligence Engineer, Prime Video Channels - Customer Insights

Senior Business Intelligence Engineer

National AI Awards 2025

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.