INTELLISWIFT INC
Pay rate range - $50/hr. to $52/hr. on W2
Schedule - Prefers fully onsite but is comfortable with a hybrid-based schedule.
Must Have
4-6 years of strong working knowledge of SQL, Python, Tableau or Quicksight
2-5 years of experience working with large-scale complex datasets
Background (academic or professional) in statistics, programming, and marketing (master's preferred)
Job Qualifications
2-5 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
4-6 years of strong working knowledge of SQL, Python, Tableau or Quicksight
Strong working knowledge of AWS cloud, Redshift, AWS Andes, Glue
Background (academic or professional) in statistics, programming, and marketing
Graduate degree in math/statistics, computer science or related field is highly desirable
Excellent communication skills, equally adept at working with engineers as well as business leaders
Degree Bachelor's in a relevant field (master's preferred)
Nice to have
AWS / AWS Redshift
Statistical analysis experience
Day to Day
Assist stakeholders in business management
Join meetings to discuss issues and solutions
Partner with team members to architect solutions for stakeholders
Write SQL code to extract data sets
Meet deadlines
Key projects
Migrations to new unions, data type transitions, supporting engineers and stakeholders, creating a metadata application layer for data landscape upkeep
Job Description The Business Intelligence Engineer (BIE) is an innovative, results-driven professional who drives continuous improvement through data-driven actions. The role requires exercising strong judgment and autonomy to identify and execute strategic improvement plans in collaboration with cross-category, Technology, and Operations teams. This position impacts how the SnS business executes its replenishment strategies. The ideal candidate has a successful track record in relationship management, strong business and analytical skills, and experience working with technology and engineering teams. Excellent communication skills, strategic thinking, influence, and high ownership are essential.
Key job responsibilities
Architecting an end-to-end BI landscape that provides reporting, analysis, and insights for the SnS business, including dataset creation, data pipelines, ETL, custom logic, visualization, and storytelling
Developing new reports for business reviews, deep dive analysis, and strategic initiatives
Enhancing auditing tools to identify system gaps and support capability development
Creating visualization tools in Quicksight or Tableau for various stakeholder teams
Challenging existing processes with data-driven insights to improve scalability and cost efficiency
Collaborating across teams to develop automation, scaling, and productivity roadmaps
Measuring and supporting cross-category impact of solutions
Analyzing the value chain to improve customer engagement insights
Building a knowledge repository for SnS data intelligence as part of an evolving center of excellence
#J-18808-Ljbffr
Schedule - Prefers fully onsite but is comfortable with a hybrid-based schedule.
Must Have
4-6 years of strong working knowledge of SQL, Python, Tableau or Quicksight
2-5 years of experience working with large-scale complex datasets
Background (academic or professional) in statistics, programming, and marketing (master's preferred)
Job Qualifications
2-5 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
4-6 years of strong working knowledge of SQL, Python, Tableau or Quicksight
Strong working knowledge of AWS cloud, Redshift, AWS Andes, Glue
Background (academic or professional) in statistics, programming, and marketing
Graduate degree in math/statistics, computer science or related field is highly desirable
Excellent communication skills, equally adept at working with engineers as well as business leaders
Degree Bachelor's in a relevant field (master's preferred)
Nice to have
AWS / AWS Redshift
Statistical analysis experience
Day to Day
Assist stakeholders in business management
Join meetings to discuss issues and solutions
Partner with team members to architect solutions for stakeholders
Write SQL code to extract data sets
Meet deadlines
Key projects
Migrations to new unions, data type transitions, supporting engineers and stakeholders, creating a metadata application layer for data landscape upkeep
Job Description The Business Intelligence Engineer (BIE) is an innovative, results-driven professional who drives continuous improvement through data-driven actions. The role requires exercising strong judgment and autonomy to identify and execute strategic improvement plans in collaboration with cross-category, Technology, and Operations teams. This position impacts how the SnS business executes its replenishment strategies. The ideal candidate has a successful track record in relationship management, strong business and analytical skills, and experience working with technology and engineering teams. Excellent communication skills, strategic thinking, influence, and high ownership are essential.
Key job responsibilities
Architecting an end-to-end BI landscape that provides reporting, analysis, and insights for the SnS business, including dataset creation, data pipelines, ETL, custom logic, visualization, and storytelling
Developing new reports for business reviews, deep dive analysis, and strategic initiatives
Enhancing auditing tools to identify system gaps and support capability development
Creating visualization tools in Quicksight or Tableau for various stakeholder teams
Challenging existing processes with data-driven insights to improve scalability and cost efficiency
Collaborating across teams to develop automation, scaling, and productivity roadmaps
Measuring and supporting cross-category impact of solutions
Analyzing the value chain to improve customer engagement insights
Building a knowledge repository for SnS data intelligence as part of an evolving center of excellence
#J-18808-Ljbffr