Business Intelligence Engineer III

Pay rate range - $60/hr. to $65/hr. on W2
Fully Onsite

Must Have
SQL
Deep dive analytical thinking
Communication to business

Job Qualifications:
- 5+ years of experience working with large-scale complex datasets
- Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions
- Strong working knowledge of SQL - Very strong
- Background (academic or professional) in statistics, programming, and marketing
- SAS experience is a plus
- A graduate degree in math/statistics, computer science, or a related field, or marketing is highly desirable.
- Excellent communication skills, equally adept at working with engineers as well as business leaders

Nice to Have:
Python

Software's:
QuickSight
Smartsheets

Key Responsibilities:
- Evaluation of the performance of program features and marketing content along measures of customer response, use, conversion, and retention
- Statistical testing of A/B and multivariate experiments
- Design, build, and maintain metrics and reports on program health
- Respond to ad hoc requests from business leaders to investigate critical aspects of customer behavior, e.g,. how many customers use a given feature or fit a given profile, deep dive into unusual patterns, and exploratory data analysis
- Employ data mining, model building, segmentation, and other analytical techniques to capture important trends in the customer base
- Participate in strategic and tactical planning discussions
- Independent work and collaborative

Job Description
Understanding customer behavior is paramount to our success in providing customers with convenient, fast, and free shipping in the US and international markets.
As a Senior Business Intelligence Engineer, you will work with our world-class marketing and technology teams to ensure that we continue to delight our customers.
You will meet with business owners to formulate key questions, leverage Amazon's vast Data Warehouse to extract and analyze relevant data, and present your findings and recommendations to management in a way that is actionable.

If you are motivated to serve the needs of our customers, you will also be able to satisfy your curiosity working with one of the world's largest datasets.
We seek candidates who are passionate about data analysis and data-driven decision making, uncompromisingly detail-oriented, smart, efficient, and driven to help our business succeed by providing key insights that translate into action.

Key Responsibilities:
- Evaluation of the performance of program features and marketing content along measures of customer response, use, conversion, and retention
- Statistical testing of A/B and multivariate experiments
- Design, build, and maintain metrics and reports on program health
- Respond to ad hoc requests from business leaders to investigate critical aspects of customer behavior, e.g,. how many customers use a given feature or fit a given profile, deep dive into unusual patterns, and exploratory data analysis
- Employ data mining, model building, segmentation, and other analytical techniques to capture important trends in the customer base
- Participate in strategic and tactical planning discussions

Job Qualifications:
- 7+ years of experience working with large-scale complex datasets
- Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions
- Strong working knowledge of SQL
- Background (academic or professional) in statistics, programming, and marketing
- SAS experience is a plus
- A graduate degree in math/statistics, computer science, or a related field, or marketing is highly desirable.
- Excellent communication skills, equally adept at working with engineers as well as business leaders