• 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.

• 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

• Candidate Voice Projects and small/x-small projects
• Handling Candidate Data and Metrics Analysis
• Dashboard Project – Customer follow up and action items needed to provide alternative solutions

Typical Task Breakdown:

• 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.

• Exposure to different types of Data and learning how to sort and manage them.
• Dashboarding Exposure / Multi-Stream Data

• Deliver Results – Tight deadlines coming up, need to be able to complete work in timely manner with high quality.
• Deep Dive – Need to understand system and know what to do with information / troubleshooting and what next steps are needed.

• 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.

• 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 able to work with various teams and Customer Needs
• Previous knowledge in Dashboarding.