Demo

Business Intelligence Engineer III

IntePros
Bellevue, WA Full Time
POSTED ON 4/29/2025
AVAILABLE BEFORE 5/28/2025
Senior Business Intelligence Engineer III

We are seeking a Senior Business Intelligence Engineer to drive insights and strategic decision-making through deep data analysis within a growing logistics and technology environment. This role plays a critical part in helping the organization understand customer and operational behavior through large-scale data analysis, program evaluation, and exploratory research.

This is an excellent opportunity for an analytical and detail-driven professional passionate about working with large datasets, applying statistical rigor, and influencing business strategies through actionable insights. You will collaborate with product managers, engineers, and leadership to create a data-driven foundation for critical operational decisions.

Key Responsibilities

  • Evaluate the performance of program features and marketing content by measuring customer response, usage, conversion, and retention.
  • Conduct statistical testing of A/B and multivariate experiments.
  • Design, build, and maintain reports and dashboards to monitor program health and feature adoption.
  • Perform ad hoc deep dives to answer critical business questions about customer and operational behavior.
  • Use data mining, segmentation, model building, and exploratory techniques to identify trends and patterns.
  • Participate in strategic and tactical planning discussions, providing data-driven recommendations to leadership.

Top Required Skills

  • SQL Expertise – Strong ability to extract, manipulate, and analyze large-scale complex datasets.
  • Analytical Thinking – Deep dive mentality; ability to decompose business problems and develop actionable insights.
  • Business Communication – Clear and effective communication of technical analysis to non-technical business stakeholders.

Skills & Experience Required

  • 5 years of experience working with large-scale, complex datasets.
  • Strong working knowledge of SQL (advanced level expected).
  • Background in statistics, programming, and/or marketing.
  • Graduate degree in Mathematics, Statistics, Computer Science, Marketing, or a related field preferred.
  • Familiarity with data tools like SAS (preferred) and additional experience with Python is a plus.
  • Proficiency with reporting platforms such as Quicksight and Smartsheets.
  • Excellent communication skills, able to bridge technical findings with business priorities.

Why This Role?

This role offers a chance to work at the forefront of operational and customer analytics while exploring the early application of AI and Machine Learning techniques. You’ll gain exposure to strategic business planning, innovative tech integration, and large-scale data-driven decision-making within a highly collaborative environment. It’s an opportunity to sharpen advanced analytics skills while influencing the future of logistics and technology programs.

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