Business Intelligence Engineer II
Apply NowCompany: Intelliswift
Location: Seattle, WA 98115
Description:
Job ID: 25-07148 Pay rate range - $50/hr. to $55/hr. on W2
Must Have
SQL
Scripting knowledge (helps in automation - python)
Create Data pipelines (understand this infrastructure )
Visualization tools - tableau or quick sight
Think Big; Bias for action; deliver results
Learn new business quickly and provide analytics on it (exp with different teams or workstreams)
Nice to haves - AWS services - beyond conventional S3 bucket
Performance - Stakeholder /manager feedback
Day to Day
Avg day - monthly road map planning with stakeholders
Will be part of this - mix of different projects (analytical; creating reports)
Can plan out daily schedule in accordance with monthly roadmap
Some leadership asks could come up - could flex schedule for this
Regular cadence - SQL for data extraction and create data pipelines
Minimal meetings (stakeholders)
Key Responsibilities:
- 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
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
A 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
Must Have
SQL
Scripting knowledge (helps in automation - python)
Create Data pipelines (understand this infrastructure )
Visualization tools - tableau or quick sight
Think Big; Bias for action; deliver results
Learn new business quickly and provide analytics on it (exp with different teams or workstreams)
Nice to haves - AWS services - beyond conventional S3 bucket
Performance - Stakeholder /manager feedback
Day to Day
Avg day - monthly road map planning with stakeholders
Will be part of this - mix of different projects (analytical; creating reports)
Can plan out daily schedule in accordance with monthly roadmap
Some leadership asks could come up - could flex schedule for this
Regular cadence - SQL for data extraction and create data pipelines
Minimal meetings (stakeholders)
Key Responsibilities:
- 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
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
A 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