At a Glance
- Tasks: Transform data into insights and solve complex business challenges with analytics.
- Company: Join a dynamic team at Amazon's UK Insights & Innovation.
- Benefits: Competitive salary, diverse culture, and opportunities for growth.
- Other info: Collaborative environment focused on customer needs and innovative solutions.
- Why this job: Make a real impact by driving innovation through data-driven decisions.
- Qualifications: Strong analytical skills, experience with SQL, Python, and data visualisation tools.
The predicted salary is between 50000 - 60000 £ per year.
Do you enjoy transforming data into actionable insights and taking a data-driven approach to solving complex business problems? Are you excited to discover and solve thorny business challenges through data analytics and business intelligence solutions? UK Insights & Innovation (I&I) is looking for a proactive Business Intelligence Engineer with strong technical and analytical skills to join our lean, high-impact team in London. UK I&I is the central insights and innovation team for UK Stores. We identify and act on the highest-impact opportunities where deep UK market understanding and rigorous experimentation drive measurable business results.
Key job responsibilities
- Design, implement, and support key datasets that provide structured and timely access to actionable business information.
- Design, develop and maintain scaled, automated, user-friendly systems, reports, and dashboards that support our business needs and enable self-service analytics.
- Lead projects and business discussions that share insights, challenge status quo, and provide forward-looking recommendations to enable decision making across UK priorities.
- Drive experimentation strategy and execution, including designing and analyzing A/B tests, building measurement frameworks, and translating experiment results into actionable business recommendations.
- Deep dive into large data sets to answer key business questions using SQL, Python, and other data manipulation languages; develop UK-specific analytical models that inform experiment design.
- Partner with cross-functional teams to identify white space opportunities, design rigorous experiments, and own end-to-end measurement of innovation initiatives.
About the team
UK Insights & Innovation obsesses over the needs and context of UK customers by strengthening core inputs, removing customer pain points, and identifying innovative solutions that deliver better engagement, loyalty, and growth in the UK.
BASIC QUALIFICATIONS
- 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.
PREFERRED QUALIFICATIONS
- Experience managing, analyzing and communicating results to senior leadership.
- Experience integrating multiple loosely connected datasets to tell a consistent end-to-end story.
- Experience in the application of GenAI technologies to drive operational efficiencies and speed to insights.
Senior Business Intelligence Engineer, UK Insights and Innovation employer: Eworker
At Safran, we pride ourselves on being an exceptional employer, offering a dynamic work environment in Cwmbran, South Wales, where innovation and collaboration thrive. Our commitment to employee growth is evident through extensive training opportunities, a supportive culture that values diversity, and a comprehensive benefits package including generous holiday allowances and private medical cover. Join us in crafting excellence together as we lead the way in aerospace technology and create a sustainable future for all.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Business Intelligence Engineer, UK Insights and Innovation
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Eworker!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Senior Business Intelligence Engineer, UK Insights and Innovation
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Eworker, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Eworker
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Eworker’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
