Business Intelligence Engineer

Job description

DESCRIPTION

The Brand Program is a strategic initiative to improve the customer shopping experience for brands selling direct on Amazon. One of the goals of the Brand Program is to ensure that 3P Brands achieve the same customer experience as Amazon Retail. The Brand Program gives Brands access to unique benefits and tools to help them grow their business and a great CX at scale, without the manual intervention traditionally provided by Retail. As Brands become an ever-larger part of the customer experience on Amazon, our challenge is to develop scalable mechanisms to ensure that Brands offer low prices, sell their whole assortment, stay in stock, and participate in Prime.
To succeed in this vision, we need to deeply understand the data that drives Brands’ behavior, quantify the impact of our initiatives to inform the roadmap, and develop analytical tools to help Brands succeed.
This position requires excellent statistical and analytical abilities, deep knowledge of business intelligence solutions and data engineering practices, and proven ability to collaborate across teams. The ideal candidate exhibits strong ownership, a passion for the details, and the ability to identify and clearly communicate insights. We’re looking for someone who is curious, tenacious and excited to do big things.
As a BIE on the Brand Program team, you will be expected to:
· Work with extremely large datasets and manipulate/mine data from database tables (Redshift)
· Create automated metrics using complex databases
· Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
· Automate reporting with a combination of SQL, Excel, and BI tools like Tableau
· Develop new metrics to track our business and uncover previously unforeseen trends
· Manage and execute entire projects or components of large projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations
· Seek opportunities to inject advanced analytical techniques into our evaluation of Brand’s CX performance
· Support the development of targeted recommendations for Brands

PREFERRED QUALIFICATIONS

· Masters degree Business, Engineering, Statistics, Computer Science, Mathematics or related field.
· 5+ years of relevant experience in a business analyst/data analyst/statistical analysis role.
· Understanding of data warehousing, data modeling concept and building new DW tables
· Experience with predictive modeling

Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

Desired profile

BASIC QUALIFICATIONS

· Bachelor's degree in Computer Science, Math, Statistics, Engineering or a related field
· 3+ years of professional experience in analytics, business analysis or comparable consumer analytics position
· Experience with statistical analysis, regression modeling and forecasting, time series analysis, data mining, financial analysis, and demand modeling
· Experience in Statistical Software such as R, SAS, SPSS, MINITAB
· Proficiency with Tableau and Microsoft Excel to include making charts, data manipulation, pivot tables, creating macros, and visual basic knowledge
· Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams
· Experience using one or more Python, VBA, MATLAB, Java, C++ programming languages
· Experience processing, filtering, and presenting large quantities (100K to Millions of rows) of data
· Proven problem-solving skills, project management skills, attention to detail, and exceptional organizational skills
· Ability to deal with ambiguity and competing objectives in a fast-paced environment.