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Sr. Business Intelligence Analyst

Sr. Business Intelligence Analyst

Job ID 
Posted Date 
Amazon Corporate LLC
Position Category 
Business Intelligence
Recruiting Team 

Job Description

The Product & Service Discovery (PSD) team at Amazon is looking for a talented Senior Business Intelligence Analyst to help manage our ever-growing information needs and lead the analysis of increasingly complex business questions. At Amazon, you will be working in one of the world's largest and most complex data environments. The Senior Business Intelligence Analyst occupies a unique role at the intersection of business, technology, finance, statistics, data mining, and social science.

PSD’s vision is to enable customers globally to discover the most relevant products and services through programs that enrich their pre- and post-purchase experience. PSD is organized around large programs: Services Discovery that includes Warranty; and Product Discovery that includes Comparison, Product Bundles and other strategic programs. As a Senior Business Intelligence Analyst with PSD, you will define and answer critical business questions ranging from customer behavior to financial projections that will set the strategic direction for the team. You will be responsible for solving important business problems through deep data mining, statistical analyses, and creation of mathematical models. Your analytical solutions and insights will guide our reporting, benchmarking, program optimization, financial planning, and execution strategy.

The successful candidate will be comfortable with advanced SQL, modeling, R Script and data mining techniques. You attack complex business questions with data and curiosity, diving below the surface to identify the root cause and the “so what” rather than just superficial trends. You thrive by providing data-driven decision support and business intelligence that is timely, accurate, and actionable. The ability to translate and effectively communicate your insights to a variety of stakeholders is a must.

· Work closely with product and various stakeholders to understand business issues and recommend approaches to ensure business questions are properly answered
· Deep dive into data to find trends and problems. Answer key business questions using SQL, R Script, Excel and other data manipulation tools
· Use experimental design and statistics to assist in the design and measurement of various tests
· Own the design, development, maintenance, and distribution of key business metrics. Take a proactive approach to defining new metrics, reports, and dashboards to improve the visibility into the business areas managed
· Employ data mining, segmentation, and other analytical techniques to capture important trends and create relevant measurement dashboards

Basic Qualifications

Basic Quals
  • 5+ years of relevant work experience in data science, business analytics, finance, business intelligence (BI), or comparable consumer analyst position handling large, complex data sets
  • A bachelor's degree, preferably in an analytical field - e.g. Economics, Operations, Business, Mathematics, Statistics or Finance
  • Proven experience in business analysis and research
  • Proficiency in SQL and Excel (pivot tables and charts)
  • Understanding of relational databases and familiarity with statistics
  • Strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams.
  • Inquisitive mindset, with proven problem solving ability, and a passion for big data.
  • Ability to quickly adapt to changing priorities and generate innovative solutions in a fast-paced environment
  • Expertise in SQL and R Script
  • 5+ years of relevant senior level experience in retail, operations, and/or business management/consulting with a proven history of delivering results
  • Experience running projects to analyze business issues or challenges and making subsequent recommendations to the stakeholders

Preferred Qualifications

  • MBA or Master’s degree (or equivalent experience)
  • Experience in operations and financial analysis
  • Demonstrated ability to frame complex analytical problems, pull data, and extract insights that led to tangible results (revenue, seller launches, new product features, etc.)
  • Experience in data mining (SQL, R, ETL, data warehouse, etc.) and using databases in a business environment with complex datasets
  • Knowledge and experience in data visualization/reporting software (e.g., Tableau, Spotfire, etc.).