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Business Intelligence Engineer II

Job ID: 24-06232
Pay rate range - $53/hr. to $55/hr. on W2

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 (masters preferred)

Leadership Principals:
Customer Obsessed, Earns Trust,
 
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: bachelors is the relative field (master preferred)
 
Nice to have;
Statistical analysis experience

Day to Day:
Assist stakeholders in business management
Join meetings to talk through issues and solutions
Partner with team members to architect solutions for stakeholders
Writing SQL code to pull correct data sets
Meet timelines

The Business Intelligence Engineer (BIE) is an innovative, results-driven professional who executes continuous improvement through data-driven actions.
The individual must exercise strong judgment and autonomy in the identification and execution of strategic improvement plans built on cross-category, Technology, and Operations partnerships.
This role will impact and inform how executes its SnS business across its replenishment business.
The individual should possess a track record of successful relationship management, strong business and analytical acumen, and experience working with technology and engineering teams.
Great communication skills, the ability to think big and influence across teams, and high ownership to deliver successful results will be essential.
 
Key job responsibilities
• Holistically architecting an end-to-end BI landscape that activates reporting, analysis & insights for the SnS business that includes building and harvesting datasets, data pipelines, ETL, application of custom logic, data visualization & story-telling to drive the business forward.
• Creating new reporting to inform business reviews, deep dive analyzer tools, and more emerging strategy efforts.
• Improving auditing tools to understand relevant inputs and identify gaps in technology systems to support the creation of new capabilities to drive business operating leverage.
• Building insights-oriented visualization tools in Quicksight or Tableau to enhance existing ways of work for product managers, program managers, vendor managers, finance partners, and stakeholder partner teams.
• Challenging existing processes and work streams with data-driven insights that offer alternatives that are cost neutral, or favorable, but drive much more scalable execution.
• Partnering across the SnS teams as well as the central CADE team to create an intelligence roadmap that addresses core areas for automation, scale, and business financial productivity.
• Scaling roadmap and solutions across categories by ensuring the cross-company impact is measured and supported by stakeholder businesses.
• Understanding the value chain within the broader site experience to inform new insights on customer engagement.
• Developing a knowledge repository for SnS data intelligence as part of an evolving center of excellence that can be referred to outside of the SnS business
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