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Business Intelligence Engineer III

Job ID: 24-04793
Business Intelligence Engineer III
 
Location: Detroit, MI and Nashville, TN -Hybrid
 
Pay rate range: $58/hr. to $61/hr. on w2.
 
Top Skills:
  • SQL
  • Microsoft Office: Excel – data analytics
 
Position: The Senior Business Intelligence Engineer occupies a unique role at the intersection of technology, good analytical, data visualization and data mining skills. We provide business leaders with key insight that optimize warehouse hiring using revolutionary HR analytics.
 
Qualifications
•             1-3 years of experience working with large-scale complex datasets
•             Strong analytical mindset, data visualization, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions
•             Expert working knowledge of SQL
•             Background (academic or professional) in programming and basic statistics
•             AWS experience a plus
•             Bachelor degree in math/statistics, computer science.
•             Excellent written and verbal communication skills, equally adept at working with engineers as well as business leaders” 
 
Key Projects
•             Data visualization
•             Design, build and maintain dashboards
•             Respond to ad hoc requests from business leaders to investigate and report root causes to a business problem
•             Basic statistical analysis knowledge on how handle data outliers, how to use percentile, mean, median, and relevant analytical techniques to capture important trends seen in the data
•             Participate in brainstorming solution solving strategic problems
 
Typical Tasks
•             Identifying problems
•             Evaluation of the performance of program features and marketing content along measures of customer response, use, conversion, and retention
•             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
 
Skills:
  • Working with AWS Redshift environment
  • Assisting with HR candidate analytics
  • Supporting workforce hiring.
Leadership Principles
-Dive Deep
-Deliver results
-Bias for action
-Customer obsession
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