At a Glance
- Tasks: Analyse data, generate insights, and support decision-making across teams.
- Company: Join Amazon, a leader in tech innovation and inclusivity.
- Benefits: Competitive salary, diverse culture, and opportunities for growth.
- Other info: Work with cutting-edge AI solutions and collaborate with cross-functional teams.
- Why this job: Make an impact with data-driven strategies in a dynamic environment.
- Qualifications: Experience in finance or sales operations; strong analytical skills required.
The predicted salary is between 56700 - 69300 £ per year.
- Business Operations Mgr, UKGI AWS SMGS Ops Sales Ops-WWPS
- Job ID: 10514546 | AWS EMEA SARL (UK Branch)
WWPS Business Operations is seeking a driven and talented Business Operations Analyst to play a critical role within the Worldwide Public Sector Field Sales Operations organization.
This role will serve as an important point of coordination across WWPS Sales, Business Operations, Finance, technical teams, and other cross-functional organizations.
The successful candidate will help develop scalable operational mechanisms, generate actionable business insights, create strategic narratives, and support operating cadences that enable growth across the Worldwide Public Sector organization.
Additional key focus of the role will be supporting the development, deployment, and adoption of Generative AI solutions that improve operational productivity, data quality, business visibility, and decision-making.
The analyst will partner with business and technical teams to identify high-value use cases, automate recurring activities, and scale successful solutions across WWPS.
Data analysis is central to Amazon’s culture, and this role will have a direct impact on business strategy and execution.
The analyst will transform complex usage, pipeline, financial, and operational data into clear insights and recommendations for Field Sales Operations, Sales leaders, and senior WWPS leadership.
Success in this position requires strong analytical capabilities, sound business judgment, excellent communication skills, and the ability to work effectively across multiple organizations.
The ideal candidate will be comfortable operating in an ambiguous environment, managing multiple priorities, and translating business requirements into scalable processes, reporting mechanisms, and technology-enabled solutions.
- Key job responsibilities
- Analyze usage, pipeline, financial, and operational data to generate insights, identify trends, and support data-driven decision-making.
- Leverage Gen AI to enhance, develop, and maintain dashboards, reports, and recurring metrics to track business performance and support leadership reviews, while driving adoption of Gen AI-enabled reporting and analytics solutions across WWPS.
- Support business planning and operational cadences, including forecasting, pipeline reviews, and performance reporting.
- Partner with cross-functional teams to gather requirements and deliver scalable analytical and reporting solutions.
- Create clear summaries, reports, and narrativees that communicate key findings, risks, and opportunities to stakeholders.
- Identify opportunities to improve processes, data quality, and operational efficiency through automation and analytical tools, including Gen AI-enabled solutions.
- Support ad hoc analysis and strategic initiatives for Sales and Business Operations teams across WWPS.
- Basic qualifications
- Experience in finance, business management and sales operations
- Bachelor's degree in Business Administration, Finance, Economics, Computer Science, Engineering, or related field
- Experience with sales CRM tools such as Salesforce or similar software
- Experience defining, refining and implementing sales processes, procedures and policies or equivalent
- Basic Qualifications
- Experience with sales CRM tools such as Salesforce or similar software
- Experience using Microsoft Excel to manipulate and analyze data
- Experience defining, refining and implementing sales processes, procedures and policies or equivalent
- Preferred qualifications
- 5+ years of finance, business management and sales operations experience
- Experience working within a high-growth, technology company
- Preferred Qualifications
- Experience working within a high-growth, technology company
- Experience in finance, business management and sales operations
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Business Operations Mgr, UKGI AWS SMGS Ops Sales Ops-WWPS employer: Amazon
Amazon is an exceptional employer, offering a dynamic internship experience in the vibrant region of Yorkshire and the Humber. With a strong focus on employee growth, interns benefit from hands-on project delivery, collaboration with industry experts, and a clear pathway to graduate opportunities, all within a supportive work culture that values innovation and data-driven decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Business Operations Mgr, UKGI AWS SMGS Ops Sales Ops-WWPS
✨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 Amazon!
✨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 Operations Mgr, UKGI AWS SMGS Ops Sales Ops-WWPS
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 Amazon, 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 Amazon
✨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 Amazon’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.
