Senior Analytics Engineer - Robotics Intelligence

Motion Recruitment; Somerville (MA); On-site; USD 125,000 - 180,000; Full time

Benefits offered by this job

Medical Insurance

Dental Benefits

Vision Benefits

Paid Time Off

401(k) match

Job summary

Motion Recruitment is seeking a Senior Analytics Engineer - Robotics Intelligence in Somerville, MA to turn operational and robotic system data into clear, actionable insights. Onsite collaboration bridges data engineering, analytics, and business strategy to deliver trusted datasets and KPI frameworks.

You’ll build analytics datasets, develop KPI frameworks, and create dashboards used by leadership, customers, and engineering teams to improve performance and efficiency.

Qualifications

• 5+ years in Analytics Engineering, Data Analytics, or Data Engineering.
• Experience in operational or industrial technology environments.
• Familiarity with robotics, automation, logistics, or supply chain operations.
• Experience creating executive dashboards and KPI frameworks.
• Knowledge of dbt and modern analytics engineering practices.
• Experience working directly with business stakeholders.
• Bachelor's degree in Computer Science, Analytics, Engineering, Mathematics, or related field.
• Experience in a startup or fast-growth technology company.

Responsibilities

• Build analytics-ready datasets to support robotics performance (hands-on).
• Develop KPI frameworks to measure productivity, utilization, accuracy, and efficiency.
• Create dashboards and reporting used by leadership, customers, and engineering teams.
• Partner with robotics engineers to understand system behavior and trends.
• Establish data definitions and standards across the organization.
• Design and maintain transformation pipelines powering analytical workloads.
• Analyze operational data to surface opportunities for improvement.
• Support customer-facing reporting and BI initiatives.
• Improve data quality and trust across reporting environments.
• Translate complex technical findings into actionable business insights.

Skills

Strong SQL

Python

Analytics data models

Dimensional modeling

BI and visualization tools

Operational data to metrics

ETL and data transformation

Cloud data platforms

Data governance

Stakeholder management

Education

Bachelor's degree in CS/Analytics/Engineering/Mathematics

Tools

dbt

Job description

Motion Recruitment is hiring a Senior Analytics Engineer - Robotics Intelligence to help a robotics company turn operational and robotic system data into clear, actionable insights. In a high-volume fulfillment and logistics environment, you will support better product performance, stronger customer outcomes, and improved fleet optimization.

Working onsite in Somerville, MA, this role bridges data engineering, analytics, and business strategy by delivering trusted datasets, consistent KPI frameworks, and reporting that leadership, customers, and engineering teams can rely on.

What you’ll do

• Build analytics-ready datasets to support robotics performance measurement (hands‑on work).
• Develop KPI frameworks to measure productivity, utilization, accuracy, and operational efficiency.
• Create dashboards and reporting used by leadership, customers, and engineering teams.
• Partner with robotics engineers to understand system behavior and identify performance trends.
• Establish data definitions and standards to keep metrics consistent across the organization.
• Design and maintain transformation pipelines that power analytical workloads.
• Analyze operational data to surface opportunities for operational improvement.
• Support customer‑facing reporting and business intelligence initiatives.
• Improve data quality and trust across reporting environments.
• Translate complex technical findings into business insights that teams can act on.

What we’re looking for

• Strong SQL expertise.
• Professional experience with Python.
• Experience building analytics data models and reporting datasets.
• Knowledge of dimensional modeling and data warehousing concepts.
• Experience with modern BI and visualization tools.
• Experience transforming raw operational data into business metrics.
• Strong understanding of ETL and data transformation workflows.
• Experience working with cloud data platforms.
• Familiarity with data governance and data quality practices.
• Excellent communication and stakeholder management skills.

Technologies

• SQL
• Python
• BI and visualization tools
• Cloud data platforms

Additional desired skills & experience

• 5+ years in Analytics Engineering, Data Analytics, or Data Engineering.
• Experience supporting operational or industrial technology environments.
• Familiarity with robotics, automation, logistics, or supply chain operations.
• Experience creating executive dashboards and KPI frameworks.
• Knowledge of dbt and modern analytics engineering practices.
• Experience working directly with business stakeholders.
• Bachelor’s degree in Computer Science, Analytics, Engineering, Mathematics, or related field.
• Experience in a startup or fast‑growth technology company.

Compensation & benefits

• Bonus OR Commission eligible
• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• 401(k) (including match, if applicable)