Analytics Engineering Supervisor
Thorlabs
- Newton, Massachusetts, United States
- Newton, Massachusetts, United States
Über
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.In addition to the essential functions and duties listed above, all positions are also responsible for:
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.The Company retains the right to change or assign other duties to this position.Experience:
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. 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.Education: Bachelor s degree in Computer Science, Information Systems, Data Analytics, or a related field. Relevant Microsoft or analytics certifications are a plus.Specialized Knowledge and Skills:
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).Organizational Relationships Direct Reports: This position may have direct supervisory responsibility for analytics engineering and/or business intelligence personnel.The salary range for this position is $112,000 - $150,000 D.O.E.Thorlabs values its diverse environment and is proud to be an Equal Employment Opportunity/Affirmative Action Employer. All qualified individuals will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status. Job descriptions are not intended as and do not create employment contracts. The organization maintains its status as an at-will employer. Employees can be terminated for any reason not prohibited by law
Sprachkenntnisse
- English
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