Business Intelligence Engineer Customer Analytics

Overview

Inte Pros is seeking a Business Intelligence Engineer (BIE) to drive analytics, experimentation, and performance reporting for a fast-growing e‑commerce business. The role partners closely with senior leadership and cross‑functional stakeholders to evaluate customer behavior, marketing effectiveness, and program feature performance. The BIE will work with large‑scale datasets to design metrics, conduct statistical testing, and deliver deep‑dive analyses that directly influence strategic and tactical decision‑making.

This highly visible, data‑intensive role requires strong SQL expertise and the ability to translate complex business questions into structured analytical solutions.

• Exposure to one of the fastest‑growing areas within e‑commerce
• Direct partnership with senior leadership on a weekly basis
• Opportunity to work with large‑scale, complex datasets
• High‑impact role influencing customer experience, conversion, and retention
• Blend of experimentation, data mining, and strategic analytics

• Evaluate performance of program features and marketing content across customer response, usage, conversion, and retention
• Conduct A/B and multivariate statistical testing
• Perform exploratory data analysis to uncover trends and anomalies
• Apply data mining, segmentation, and modeling techniques to identify customer insights

• Design, build, and maintain dashboards and reporting on program health
• Establish scalable metrics frameworks to measure feature and business performance
• Translate business requirements into structured analytical plans and SQL queries

• Respond to ad‑hoc deep dives from senior business leaders
• Participate in strategic and tactical planning discussions
• Present insights clearly to both technical and non‑technical audiences

• Strong experience working with large‑scale, complex datasets
• Advanced SQL expertise (writing complex queries independently)
• Strong analytical mindset with ability to decompose business problems into structured analysis
• Background in statistics, programming, or marketing analytics
• Experience partnering with senior leadership and cross‑functional teams
• Excellent communication skills across technical and business stakeholders

• Experience in retail or e‑commerce environments
• Prior experience in large, tech‑driven organizations

• 5–7 years of experience in Business Intelligence, Product Analytics, or Growth Analytics
• Bachelor’s degree in Statistics, Computer Science, Marketing Analytics, or related field

Successful candidates typically come from Business Intelligence Engineering, Growth or Product Analytics, E‑commerce or retail analytics environments, or roles focused on experimentation, customer behavior, and data‑driven decision‑making.