Business Intelligence Engineer V

Business Intelligence Engineer V Job ID: 24-03640

Pay rate range - $80/hr. to $84/hr. on W2

Hybrid role

Job Description:

As a Senior Business Intelligence Engineer, you will work with our world-class marketing and technology teams to ensure 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 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

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 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

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