BI Data Engineer
Analytics
Business Analytics
Business Intelligence
Cloud Operations
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Visualization
Data Viz
Data Warehouse
Database
Databases
Dataviz
Digital Marketing
ETL
Informatica
Integration
Machine Statistics
Quicksight
Reporting and Analytics
SQL
Tableau
Visual Design
Job Description
Motion Recruitment is building analytics capabilities to support a growing robotics fleet, and this role serves as a key technical anchor for the BI and analytics infrastructure. You will help shape how data turns into dashboards, metrics, and decision-ready reporting, with a focus on reliability, long-term data quality, and clear analytical communication.
As the BI Data Engineer, you will lead end-to-end work across design and deployment of analytics products, partner across teams, and set standards that keep dashboards healthy over time as reporting needs evolve.
Responsibilities
- Build scalable dashboards
- Define new metrics
- Ensure long term data quality and pipeline reliability as the robotics fleet grows
- 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
- Collaborate cross functionally with Data Scientists, Des, and product managers
- Run foundational statistical deep dives to audit robot efficiency and system health
- Write high impact whitepapers and analytical deep dives that guide leadership on future design and roadmap decisions
Requirements
- BI ownership and experience, including leading end to end design and deployment of analytics products
- Experience establishing 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 experience, including running foundational statistical deep dives to audit robot efficiency and system health
- Ability to write high impact whitepapers and analytical deep dives that guide leadership on future design and roadmap decisions
- SQL & Data Modeling
- Experience with data visualization and reporting systems, such as AWS QuickSight and Tableau
- Experience identifying new data sources and building basic ETL pipelines
Technical Focus
Technical work centers on SQL, Data Modeling, AWS QuickSight, Tableau, ETL, and Applied Machine Statistics.
- 35% Data Engineering
- 25% System Evaluation & Applied Statistics
- 25% Technical Writing
- 15% Cross Functional Strategy
Collaboration & Work Style
- 70% Hands On
- 30% Team Collaboration
Location
Boston, MA (onsite)
Desired Skills
- SQL & Data Modeling
- Experience with data visualization and reporting systems, such as AWS QuickSight or Tableau
- Experience identifying new data sources and building basic ETL pipelines
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