BI Data Engineer

Kelly Services Inc.
Boston, United States of America
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 125K

Job location

Boston, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Business Analytics Applications
Data Validation
ETL
Robotic Automation Software
SQL Databases
Tableau
Software Version Control

Job description

This company located in Westborough Massachusetts, invents, develops, and designs transformational automation solutions that power the global fulfillment network. We are building the next generation of mobile robotic systems, AI driven solutions, and manipulation technology, while continuously optimizing our massive global fleet. As a team of elite engineers and creators, we build technologies that make inventory management, picking, and sorting safer and more efficient., We are looking someone who is an experienced BI Data Engineer. You will act as the technical anchor for the team's analytics infrastructure, building scalable dashboards, defining new metrics, and ensuring long term data quality and pipeline reliability as the robotics fleet grows.

Requirements

  • BI ownership and experience - Lead end to end design and deployment of analytics products.
  • Establish team wide SOPs for dashboard health, including version control, automated data validation, depreciation strategies, and access controls.
  • Cross functional synergy with Data Scientists, Des, and product managers.
  • Applied Machine Statistics, run foundational statistical deep dives to audit robot efficiency and system health.
  • Be able to write high impact whitepapers and analytical deep dives that guide leadership on future design and roadmap decisions.

Desired Skills & Experience

  • SQL & Data Modeling
  • Experience with data visualization and reporting systems. (AWS QuickSight, Tableau, etc)
  • Experience identifying new data sources and building basic ETL pipelines.

Benefits & conditions

  • 35% Data Engineering
  • 25% System Evaluation & Applied Statistics
  • 25% Technical Writing
  • 15% Cross Functional Strategy

Daily Responsibilities

  • 70% Hands On
  • 30% Team Collaboration

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