Note: The job is a remote job and is open to candidates in USA. Thorlabs designs and manufactures components, instruments, and systems that advance photonics technologies. The Analytics Engineering Supervisor leads the design, governance, and delivery of semantic models, metric definitions, and analytical frameworks that support trusted enterprise decision-making. The role partners with business stakeholders, Data Engineering, and IT teams while preparing data structures for advanced analytics and AI/ML use cases and supervising analytics personnel.
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
- Help establish and maintain governance processes for semantic models, KPI definitions, and certified datasets, including documentation, validation, and change management
- Enable business teams to develop their own reporting and analytical solutions by providing trusted, welldocumented, and reusable data assets
- Drive adoption and trust in enterprise data through transparency, validation processes, and effective communication of analytics standards and definitions
- 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
- Meeting company standards pertaining to quantity and quality of work performed on an ongoing basis, performing all work related tasks in a manner that is in compliance with all Company policies and procedures
- Adhering to Company policies, procedures, and directives regarding standards of workplace behavior in completing job duties and assignments
Skills
- • This position may have access to ITAR related information. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, U.S. National, Lawful Permanent Resident, Workers granted Refugee status, or Workers granted Asylum) upon hire
- • 5+ years of experience in analytics engineering, data analytics, business intelligence, or related roles
- • Experience designing semantic or analytical models (e.g., star schema, tabular models, Power BI datasets)
- • Strong experience defining and managing KPIs, metrics, and business logic across multiple stakeholders
- • Experience facilitating business discussions and translating ambiguous requirements into structured analytical outputs
- • Working knowledge of SQL and relational data concepts
- • Experience collaborating with data engineering teams and understanding data pipelines and transformations
- • Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field
- • Strong understanding of dimensional modeling, metric grain, aggregation behavior, and semantic layer design
- • Advanced experience with Power BI and DAX or equivalent analytical modeling tools
- • Knowledge of data governance principles, including data quality, consistency, and standardization
- • Ability to balance business needs with technical constraints and drive alignment across stakeholders
- • 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)
- • Experience with modern data platforms such as Microsoft Azure, Synapse, Fabric, or Dataverse is preferred
- • Prior experience in a leadership or supervisory role is preferred
Benefits
- Medical, dental and vision insurance
- Company paid life insurance
- A generous PTO package
- A 401(k) plan
- Tuition reimbursement
Company Overview