Business Analyst, Amazon Shipping Business

2 weeks ago

London, United Kingdom Amazon Full time

Job ID: 2640648 | Amazon UK Services Ltd. - Amazon is seeking a motivated candidate to create analyses and mechanisms that provide actionable insights regarding customer behaviour and sales performance. The successful candidate will be a trusted advisor to Global Mile sales leaders across US & EMEA, and their insights and recommendations will help sales leaders understand and bridge performance, as well as influence strategy including new products' go-to-market, customer prioritization, etc.
About Global Mile: Amazon is committed to supporting businesses becoming successful Selling Partners. Fulfillment By Amazon (FBA) provides sellers with fulfillment services to store products in Amazon's fulfillment centers, which Amazon will pick, pack, ship, and provide customer service for to enable FBA sellers to scale their business and reach more customers.
With Amazon’s advanced fulfillment networks, this enables “You sell it, we ship it.” Often, Selling Partners may procure inventory from overseas origins, such as China, South-East Asia, requiring them to independently navigate the complexity of international freight-forwarding, shipping, and customs clearance. Global Mile team solves for this Selling Partner pain-point by offering Amazon Global Logistics solutions, with full suite of international shipping, customs clearance and storage solutions.
As a Business Analyst, you will serve as the subject matter expert on presenting data in an informative and actionable way and in a way that facilitates productive, cross-functional dialogue. Your detailed analysis will inform decisions on investments, opportunities and performance. You will collaborate with our centralized Business Intelligence and Data Engineering team to leverage existing data and build access to new data needed to inform business decisions. You will build analytical models, size opportunities, prioritize for ROI, implement techniques to process large data sets, apply statistical testing methods, address quantitative problems, build dashboards that enable leaders to better understand their business data, assess functional business performance, and develop targeted, scalable action plans. As an experienced data expert, you will be responsible for supporting as well as advising team peers who lead functional strategies. You will be responsible for designing and implementing tangible insights, business metrics, measurement systems that guide operations, projects, and programs roadmaps. You will have an opportunity to publish findings, updates, and data driven recommendations to Senior Leadership.
Be the SME leading design and execution of business analytics
- Build data visualization reports and tools for self-service consumption of data
- Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processes
- Define the business problem and solution approach autonomously, to size and prioritize business growth opportunities for maximizing return on effort, and reduce lead-times from concept to launch
- Analyze and validate data to ensure high data quality and reliable insights
- Partner with data engineering teams to improve data assets, quality, metrics and insights
- As the primary data and analysis expert supporting a team of 30+, create intake and prioritization process to balance fast-turnaround business needs, with regular processes and longer time frame strategic projects.
- Write concise documents communicating results to stakeholders and visualize data to drive decision making
The US EMEA Sales Planning team was created in late 2022 to support the growth of Global Mile sales and marketing teams. Our objective is to establish and iterate on strategic and tactical planning processes to help achieve business goals, maximize efficiency and ROI.
Bachelor’s degree in Business, STEM, Operations, Finance, or related field
- Experience in a business analyst, data analyst, or statistical analysis role
- Experience working within a business intelligence function, with analytical and modelling experience
- Experience with Excel, Access, SQL, Python, Perl or other scripting languages
- Experience with Tableau, AWS QuickSight, Power BI, or other data visualizations software
Master's degree in supply chain management, operations, engineering, analytics or related field
- Ability to apply statistical techniques and facilitate market research (i.e. hypothesis testing, control groups, benchmarking studies)
- 5+ years of experience working in web analytics – e.g. funnel progression, visitor behavior, conversion analysis, marketing campaign optimization, click-through rates
- 5+ years of experience owning creation and regular circulation of business reports
- High level of competence & skill set in variety of business analysis, e.g. trend analysis, segmentation analysis, cost-benefit analysis, scenario analysis, CLTV analysis, financial analysis, survey analysis, ROI analysis, opportunity sizing, conjoint analysis, sales forecasting, etc.
- Experience in project management and business process improvement
Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our candidates.
If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. Our compensation reflects the cost of labor across several US geographic markets. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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