Analytics Engineering Supervisor

About the role

The Analytics Engineering Supervisor at Thorlabs is responsible for defining, governing, and delivering analytics assets that support enterprise decision-making. This role leads the design and management of semantic models, metric definitions, and analytical frameworks to ensure consistency, accuracy, and scalability across the organization's analytics ecosystem.

Responsibilities

• Define, design, and oversee enterprise semantic and analytical models, ensuring consistency in metric definitions, aggregation logic, and data interpretation across business units
• Serve as the primary analytics partner to business stakeholders by translating business questions into clearly defined KPIs, metrics, and analytical frameworks
• Own and govern enterprise metric definitions, ensuring alignment across departments and resolving discrepancies in KPI interpretation in partnership with business leadership
• Facilitate working sessions with subject matter experts (SMEs) to align on business definitions, assumptions, and success criteria for analytics initiatives
• Partner with Data Engineering to ensure data pipelines, transformations, and datasets support scalable, high-quality, and well-structured analytical models
• Enable business teams to develop their own reporting and analytical solutions by providing trusted, well-documented, and reusable data assets
• Identify and implement opportunities to improve analytics capabilities, data literacy, and business engagement with enterprise data platforms
• Collaborate with Global IT and cross-functional teams to align analytics assets with enterprise data platform architecture and strategic priorities
• Support research and development initiatives related to analytics, including knowledge sharing, documentation, and preparation of data structures for advanced analytics and AI/ML use cases
• Provide leadership, coaching, and performance management for analytics personnel, including goal setting, performance reviews, and professional development

Requirements

• 5+ years of experience in analytics engineering, data analytics, business intelligence, or related roles
• Strong experience defining and managing KPIs, metrics, and business logic across multiple stakeholders
• Working knowledge of SQL and relational data concepts
• Experience collaborating with data engineering teams and understanding data pipelines and transformations
• Prior experience in a leadership or supervisory role is preferred
• Education: Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field
• Relevant Microsoft or analytics certifications are a plus
• Advanced experience with Power BI and DAX or equivalent analytical modeling tools
• Knowledge of data governance principles, including data quality, consistency, and standardization
• Strong communication and facilitation skills, with the ability to challenge assumptions and drive clarity
• Understanding of data structures required to support advanced analytics and AI/ML use cases
• Proficiency with Microsoft Office tools (Outlook, Excel, PowerPoint, Word)

Qualifications

• Strong understanding of dimensional modeling, metric grain, aggregation behavior, and semantic layer design
• Experience with modern data platforms such as Microsoft Azure, Synapse, Fabric, or Dataverse is preferred

Skills

• Advanced experience with Power BI and DAX or equivalent analytical modeling tools
• Knowledge of data governance principles, including data quality, consistency, and standardization
• Strong communication and facilitation skills, with the ability to challenge assumptions and drive clarity
• Understanding of data structures required to support advanced analytics and AI/ML use cases
• Proficiency with Microsoft Office tools (Outlook, Excel, PowerPoint, Word)

Benefits

• Medical, dental, and vision insurance
• Company-paid life insurance
• A generous PTO package
• A 401(k) plan
• Tuition reimbursement