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Business Intelligence Engineer II

Job ID: 25-10702
Pay rate range - $53/hr. to $57/hr. on W2

Must Have
Strong SQL and data warehousing experience (particularly with Redshift)
Experience with data visualization tools (Tableau/Quicksight)
Python programming for data analysis and automation

Experience required
 - 3-6 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
- 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
 
Nice to have:
A BEST candidate would have:
•                Proven experience with compensation analytics
•                Strong AWS technical background
•                Experience with large-scale data transformation
•                Project examples showing end-to-end solution delivery

\An AVERAGE candidate might have:
•                Advanced SQL/Python skills
•                Limited experience with AWS should be fine
•                General analytics background
 
Leadership Principles:
The leadership principle that resonates most with this role is "Deliver Results". This role requires strong execution and delivering high-quality analytics solutions that directly impact globally.


Daily Schedule - 
•    15% Meetings/stakeholder alignment
•    50% Technical work (coding, analysis, dashboard development)
•    15% Documentation and process improvement
•    20% Ad-hoc requests and troubleshooting

About the Project
  • Creating and maintaining dashboards and reports for compensation analytics
  • Writing SQL queries and Python scripts for data analysis
  • Building and optimizing ETL pipelines
  • Collaborating with stakeholders to understand requirements
  • Supporting compensation policy analysis and implementation
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