Business Intelligence Engineer II

Business Intelligence Engineer Ii

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