Amazon.com Services LLC
Corporate Operations, Planning/Development, Operations
BusinessAnalystII,RefundsCX,WWRefundsExperience
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Business Analyst II, Refunds CX, WW Refunds Experience at Amazon.com Services LLC. Skills: Data analysis, Business intelligence, Reporting. Own design, development, and maintenance of scalable solutions. Support analytical and business needs”
What You'll Achieve.
Reduce defects, waste, and cost
Industry & Context.
Solve complex problems; Root cause analysis
What They're Looking For.
Must Have
3+ years tax, finance or related analytical field experience, 5+ years Excel and data visualization tools such as Tableau experience, 3+ years business or financial analysis experience, Bachelor's degree or equivalent, Experience defining requirements and using data and metrics to draw business insights, Experience with Excel, Experience with SQL
Nice to Have
Experience in customer segmentation, Customer behavior analysis, Conjoint/trade-off modeling, Experience partnering with executive-level leaders to identifying and solving business issues
What You'll Do.
and maintenance of scalable solutions
Support analytical and business needs
Work with team leadership to understand customer needs
Translate business problem statements into analysis requirements
Work with internal customers to define best output
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 periodically
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
Monitor data issues in data pipelines
Troubleshoot operational issues in data pipelines
Troubleshoot data issues in data pipelines
Review existing ETL jobs
Audit existing ETL jobs
Review existing SQL queries
Audit existing SQL queries
How You'll Work.
Team & Collaboration
Partner across teams; Collaborate cross-functionally; Work with technical teams; Work with operations teams; Work with business teams
Communication Scope
Business recommendations; Influencing stakeholders
Full Job Description
In the Worldwide Returns & ReCommerce (WW R&R) group at Amazon, we are dedicated to ‘making zero happen’ – zero cost of returns, zero waste, and zero defects – to benefit our customers, company, and environment. We are an agile and inclusive organization that constantly innovates to create long-term value by investing in our people and our planet, not simply focusing on the bottom line. WW R&R includes business, product, operations, data, and software engineering teams, who together manage the lifecycle of returned and damaged products. In WW R&R, you will partner across these teams to help customers get the most value out of Amazon’s products; improve the customer returns experience; and reduce defects, waste, and cost in reverse logistics processes. You will be a leader, a builder, and an owner, collaborating cross-functionally with technical, operations, and business teams to design scalable and automated solutions to customer problems. The candidate will focus on raising the bar on Refunds CX, through their deep-dive skills and customer insight generation capabilities. Amazon is Earth’s most customer-centric company and in WW R&R, the Earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce. 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 based on expressed stakeholder needs. • Use analytical and statistical rigor to solve complex problems and drive business decisions. • Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting. • Design and drive experiments, A/B testing, outlier deep dives and form actionable rec
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