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Business Intelligence Engineer II
3 months ago
Customer Job
Business Intelligence Engineer II
Job ID: 24-03535
Pay rate range - $58/hr. to $60/hr. on W2Hybrid
Requirement
3-6 years of experience working with large-scale complex datasets• Background (academic or professional) in statistics, programming, and marketing
SAS experience is a plus
A graduate degree in math/statistics, computer science or related field, or marketing is highly desirable.
Job Description:
The Senior Business Intelligence Engineer occupies a unique role at the intersection of technology, marketing, finance, statistics, data mining, and social science.
We provide the key insight into customer behavior necessary to guide the evolution of business strategy.
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 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 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 Qualifications:
• 3-6 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
• 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
