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Business Intelligence Engineer II

Job ID: 24-06519
Pay rate range - $50/hr. to $55/hr. on W2

Must Have
-Strong working knowledge of SQL
Visualization Skills: not just tools but should be able to tell stories from visualization.
Experience with ETL pipelining as well as statistical analysis. – basic how you figure out the root of the problem

Yrs Exp: 0-3
 
REQUIRED SKILLS
- 0-3 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 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

PREFERRED SKILLS
  • Other script languages would be nice as well (Python, or something as they do a lot of automation, AWS tools)

Job Description: 
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 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 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 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
 
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