Senior Business Analytics Manager
Amazon
Senior Business Analytics Manager
Amazon
Sells products online and rents cloud computing
We detect and prevent fraud among hundreds of millions of e-Commerce transactions in different countries. We create a trusted store where millions of buyers and sellers can safely transact online. What kinds of processes and systems would you build to optimize our data analytics and MIS?
About the Team: We are a highly diverse team comprising individuals from various backgrounds who ensure Amazon continues to remain a safe place for our selling partners to do business on our platform. We welcome professionals who are open to new ideas and perspectives. Our team's strength lies in our ability to leverage our diverse experiences and expertise to drive innovation and solve complex challenges. We value collaboration, creativity, and a willingness to embrace different viewpoints.
At Amazon, you'll work alongside the latest AI and GenAI tools that are increasingly woven into how teams operate — from AI-powered capabilities that accelerate decision-making, to Generative AI that helps you focus on work that truly matters. You'll have opportunities and resources to develop fast-paced AI fluency , with continuous learning built into the culture.
Role Summary
We are seeking an experienced Data Analytics Leader with a passion for analyzing data and surfacing key insights that drive strategic shifts and business decisions. Operating with significant autonomy and discretion, you will drive the development of solutions to some of the company's most challenging business issues and help scale the network rapidly and safely with your strategy. You must be curious, willing to try, to learn, and to collaborate with a high-performing team. In this role, you will focus on strategy and storytelling, i.e., deciding what to measure, why it matters, and what action to take. You will build and own measurement frameworks that translate operational workflow signals, multi-channel content performance data, and business patterns into narratives and recommendations. You will lead recurring strategy sessions, write analytical narratives for global business reviews, build AI-powered automation that reduces manual reporting burden, and surface insights at scale using dashboards, Python, and intelligent agents.
You will manage relationships across a global team of technical and non-technical strategists and upstream partners (data engineers, business intelligence engineers) who support our data infrastructure. You will represent findings to senior leadership and partner cross-functionally to innovate on how we reach and engage our workforce effectively. This role requires someone who thinks critically and probabilistically — exploring what data might mean rather than jumping to conclusions — and who can build scalable systems from ambiguity. We look for candidates who are excellent communicators, self-motivated, flexible, smart-working, and like to make history — and have fun doing it!
Key job responsibilities
> Define and execute the data analytics strategy aligned to operational goals, delivering insights that drive measurable improvements in cost, quality, and performance
> Improve data accuracy of key business metrics and optimize process flows that strengthen the organization's data pipeline and upstream tables
> Drive implementation of new tools, models, and AI-powered automation that reduce manual reporting burden and scale analytical impact
> Build measurement frameworks, write compelling business documents, develop data visualizations, and deliver analytical narratives for global business reviews
> Lead and develop a team of Business Analysts and Program Managers; set clear goals, provide coaching, and create career development pathways
> Partner with senior operations leaders to identify opportunities, frame analytical questions, and deliver data-driven recommendations
> Manage relationships across global technical and non-technical teams; represent findings to senior leadership and drive action on insights
> Contribute to program and functional growth through innovation, benchmarking, and scalable solutions delivering measurable cost savings or efficiency gains through analytics
About the team
VRMO - Our globe of Operations {Verification & Risk Management Ops]: Here, we verify identity of all the selling partners who sells on Amazon. We comply with the Amazon Pay regulatory requirements through our verification bar and we proactively detect bad actors and eliminate them from our ecosystem.
SWOTS - Strategic Workforce Optimization & Tactical Solutions: Anchoring centrally all key business support programs, enabling the VRMO (and SPIV) organization through operational excellence owning 7 key capabilities i) Forecasting, ii) HC Planning, OPEX Budgeting (GPSS) and WFM, iii) Data Analytics & MIS (CIA), iv) Data Security, v) BCP, and vi) 3P Outsourcing and Vendor cost governance.
- 5+ years of data interpretation and analysis to influence stakeholders experience
- 5+ years of program or project Management experience
- 6+ years of team management experience
- Knowledge of at least one data-focused technology tool, such as Python, SQL, Alteryx, Amazon QuickSight, or similar
- 5+ years of program requirements definition and data and metrics leveraging to drive improvements experience
- 5+ years of working cross functionally with non-tech teams experience
- Master's degree in Business, Economics, Statistics, Engineering, or a related field
- Knowledge of Six Sigma tools and Lean techniques
- Experience using managed ML/AI solutions
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 runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.
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