Business Intelligence Engineer III
Apply NowCompany: Intelliswift
Location: Detroit, MI 48228
Description:
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:
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:
-Dive Deep
-Deliver results
-Bias for action
-Customer obsession
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.
-Dive Deep
-Deliver results
-Bias for action
-Customer obsession