Amazon.com Services LLC
Customer Service, Planning/Development, selling partner services
BusinessAnalystII,SPTAnalytics
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Business Analyst II, SPT Analytics at Amazon.com Services LLC. Skills: Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering, Quantitative analysis. Own design, development, maintenance of scalable solutions. Support analytical and business needs”
Industry & Context.
Break down complex problems; Solve complex problems; Analytical rigor; Statistical rigor
What They're Looking For.
Must Have
3+ years business analyst experience, 3+ years data analyst experience, 3+ years business financial analysis experience, Experience defining requirements, Experience using data metrics, Experience making business recommendations, Experience influencing stakeholders, Experience with Excel, Experience with SQL
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
maintenance of scalable solutions
Support analytical and business needs
Work with leadership to understand customer needs
Translate business problem statements into analysis requirements
Define best output based on stakeholder needs
Use analytical and statistical rigor to solve complex
Drive business decisions
Develop queries and visualizations for ad-hoc requests
Develop queries and visualizations for ongoing reporting
Design and drive experiments
Design and drive A/B testing
Design and drive outlier deep dives
Form actionable recommendations
Manage implementation of recommendations
Write queries and output efficiently
Have in-depth knowledge of data
Pull data with standard query
Identify advanced methods of query optimization
Convert data to make it analysis-ready
Recognize and adopt best practices in reporting
Recognize and adopt best practices in analysis
Monitor operational issues in data pipelines
Troubleshoot operational issues in data pipelines
Monitor data issues in data pipelines
Troubleshoot data issues in data pipelines
How You'll Work.
Team & Collaboration
Partner effectively with business leaders
Communication Scope
Business questions
Process & Methodology
Roadmap planning
Full Job Description
As we strive to be Earth's most customer-centric company, Amazon has reinvented how hundreds of millions of people shop online – providing customers with the opportunity to find and discover virtually anything they want to buy and providing millions of sellers with a platform for growing successful businesses. We are looking for an exceptional business analyst to help us develop new ways to build trust and loyalty with sellers, a crucial component of our flywheel Sellers’ trust in Amazon is our top priority and in this role, you will be tasked with building that trust over time by diving deep into how we measure our progress and helping to identify and prioritize key areas of focus. Amazon’s growth requires leaders who move fast, have an entrepreneurial spirit to create new solutions, have an unrelenting tenacity to get things done, and are capable of breaking down and solving complex problems. The successful candidate will be a self-starter, comfortable with ambiguity and be able to create and maintain efficient & automated processes. They will set the vision, strategy, and roadmap, and work alongside with stakeholders in the organization to make it happen. They know and love working with business intelligence tools, can model multidimensional datasets, and can partner effectively with business leaders to answer key business questions. They are analytical and creative, and don’t quit. This is a role with high visibility to senior leadership and with high opportunity for impact for those willing to roll up their sleeves and dive deep to achieve results. Key job responsibilities • Own the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs. • Work with team leadership to understand the customer needs and concerns as well as define solutions. • Translate basic business problem statements into analysis requirements. Work with internal customers to define best output
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