At a Glance
- Tasks: Transform raw data into actionable insights and develop automated data products.
- Company: Join Amazon, the world's largest marketplace with a diverse and inclusive culture.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Make a real impact by helping sellers thrive in the eCommerce space.
- Qualifications: Experience in SQL, Python, and data visualisation tools like Tableau.
The predicted salary is between 63000 - 77000 £ per year.
What is the Amazon Marketplace?
Amazon is the largest marketplace on earth.
Millions of customers shop in Amazon’s marketplaces globally.
Every day, customers browse, purchase, and review products sold by third-party (3P) sellers right alongside products sold by Amazon.
Since 2000, Amazon welcomes companies of all sizes to offer their products, helping them reach hundreds of millions of customers, build their brands, and grow their business.
What is Amazon Strategic Account Services (SAS)?
With increasing complexity of today’s e Commerce and rise of opportunities, the SAS Team aims to leverage the full potential of each Amazon selling partner.
Our team provides in-depth strategic consultancy using a data-driven, collaborative, and customer-focused approach to achieve commercial goals of our sellers.
What is the role of a BIE?
As a member of the central product team within SAS, you will assist the business teams in making data-driven decisions by transforming raw information into actionable intelligence through the creation of sophisticated data products.
- Key job responsibilities
- Gather and translate business requirements into scalable products that work well within the overall data architecture.
- Develop automated data products including dashboards, reports, self-service tools and data marts.
- Assist the team in supporting and maintaining the data environment.
- Assist the team in supporting the business regarding data management and ad-hoc analysis.
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Bachelor's degree in sciences, engineering, finance or equivalent - Experience with AWS solutions such as EC2, Dynamo DB, S3, and Redshift
- Experience in Statistical Analysis packages such as R, SAS and Matlab
Amazon is an equal opportunities employer.
We believe passionately that employing a diverse workforce is central to our success.
We make recruiting decisions based on your experience and skills.
We value your passion to discover, invent, simplify and build.
Protecting your privacy and the security of your data is a longstanding top priority for Amazon.
Please consult our Privacy Notice ( https://www. amazon. jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers.
If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon. jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Business Intelligence Engineer, Strategic Account Services in London employer: What
Amazon is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. As a Business Intelligence Engineer in Strategic Account Services, you'll have the opportunity to work with cutting-edge data technologies while contributing to the success of diverse sellers on the world's largest marketplace. With a strong commitment to employee growth, inclusivity, and a culture that values passion and creativity, Amazon provides a rewarding career path in a vibrant location.
StudySmarter Expert Advice🤫
We think this is how you could land Business Intelligence Engineer, Strategic Account Services in London
✨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 What!
✨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 Business Intelligence Engineer, Strategic Account Services in London
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 What, 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 What
✨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 What’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.
