Business Intelligence Engineer II

Pay rate range - $50 / hr. to $54 / hr. on W2

Fully Onsite

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

Degree :

Bachelor's is a relevant field (Master's preferred)

Nice to have.

AWS / aws REDSHIFT

Statistical analysis experience

Day to Day :

Assist stake holders 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 the correct data sets

Meet time lines

Key projects :

Migrations to new unions, move data types into the new system, support engineers and stakeholders, assist in the creation of a metadata application layer to better upkeep the data landscape

Job Description

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.

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, ability to think big and influence across teams, and high ownership to deliver successful results will be essential.

Key job responsibilities