Back
Back
Back
Back

Customer Job

Business Intelligence Engineer III

Job ID: 24-04818
Pay rate range - $63/hr. to $66/hr. on W2
Seattle, WA / Austin, TX/ Arlington, VA -  3 to 4 Days in Office

Must Have 
Experience in Quick Sight and SQL – need to have strong knowledge in systems and not need much instruction
Strong Problem-Solving Skills - Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions.
Strong Communication Skills and ability to work with various teams and Customer Needs
Previous knowledge in Dashboarding

Degrees / Certs and/or Experience Required:
  • 7+ years of experience working with large-scale complex datasets.
  • Strong analytical mindset, and 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 a plus.
  • A graduate degree in math/statistics, computer science or related field, or marketing is highly desirable.
  • Excellent communication skills, equally adept at working with engineers as well as business leaders.
Desired Leadership Principles:
  • Deliver Results – Tight deadlines coming up, need to be able to complete work promptly with high quality.
  • Deep Dive – Need to understand the system and know what to do with information/troubleshooting and what next steps are needed.
Typical Task Breakdown:
  • Evaluation of the performance of program features and marketing content along with 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 Description: 
understanding customer behavior is paramount to our success in providing customers with convenient, fast 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 the vast Data Warehouse to extract and analyze relevant data, and present your findings and recommendations to management in an actionable way.

If you are motivated to serve the needs of our customers, you will also be able to satisfy your curiosity by 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 with 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

 

CV or resume

Choose file
or drag and drop file here
For best results, upload *.doc/.docx/.pdf format files only (File size must be less than 2MB)

Personal information

Tell us something about yourself

How may I help you?