Business Analyst, Account Health Support, Account Health Support

AI in this role

Build and maintain automated data pipelines, reports, and analytical solutions to support Amazon's account health operations.

sqletlbusiness-intelligence

data-analysisreportingtroubleshootingprocess-automation

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 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
• 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.
• Write queries and output efficiently, and have in-depth knowledge of the data available in area of expertise.
• Pull the data needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert data to make it analysis-ready.
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
• Monitor and troubleshoot operational or data issues in the data pipelines
• Review and audit existing ETL jobs and SQL queries.
• Good communication and writing. Effectively communicates with both business and technical teams.

A day in the life
• Partner with Business Stakeholders to automate metrics and dive data to drive decisions that will support Sellers on the Amazon Platform
• Surface opportunities to drive process improvement, looking beyond the surface to understand what the data means for the team
• Participate in weekly, monthly, and quarterly business reviews with Global leadership spanning our six operations sites, from Arizona to Singapore.
• Provide data insights to Operations Managers to help them understand root cause of defect drivers for the programs and specialists.

About the team
Account Health Support exists to educate sellers on how to maintain there Account Health while selling on the Amazon platform. We provide support to these sellers to ensure they understand Amazon's policy and provide a delightful experience for our customers. The team creates a trustworthy selling experience to ensure that Selling Partners perceive Amazon as the safest and most effective store in which to sell their products worldwide.

Basic qualifications

- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- 3+ years of business or financial analysis experience
- Bachelor's degree or equivalent
- Experience defining requirements and using data and metrics to draw business insights
- Experience with SQL
- Experience making business recommendations and influencing stakeholders
- Be self-driven, and show ability to deliver on ambiguous projects with incomplete data.

Preferred qualifications

- 5+ years of business analyst, data analyst or similar role experience
- Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders

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.

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.

How we rate this

Business Analyst, Account Health Support, Account Health Support at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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Skills and AI tools this role asks for

Data AnalysisReportingTroubleshootingProcess AutomationSQLETLBusiness Intelligence

Questions you could be asked

Tell me about a project where data analysis was part of your work. What did you do?
Tell me about a project where reporting was part of your work. What did you do?
Tell me about a project where troubleshooting was part of your work. What did you do?
Tell me about a project where process automation was part of your work. What did you do?
Walk me through how you've used SQL in your day-to-day work.

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Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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