REGISTRIEREN

Jobbörse

Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.
  • Ähnliche Jobs zu: Process Engineering Supervisor
XX
Analytics Engineering SupervisorThorlabs • New York, New York, United States
Jetzt Bewerben
XX

Analytics Engineering Supervisor

Thorlabs
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Jetzt Bewerben

Über

The Analytics Engineering Supervisor is responsible for partnering with business and IT stakeholders to define, govern, and deliver trusted analytics assets that support enterprise decision‑making at Thorlabs. 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. This position serves as the primary bridge between business stakeholders and technical data teams, translating business questions into well‑defined KPIs, metrics, and reusable semantic structures. The role ensures that analytics assets are structured to enable self‑service reporting, reduce duplication, and improve trust in enterprise data. The Analytics Engineering Supervisor owns enterprise standards for semantic modeling and metric definition and partners with Data Engineering to ensure underlying data pipelines and datasets support scalable and reliable analytics solutions. Additionally, this role prepares the organization for future advanced analytics capabilities, including AI and machine learning, by enforcing consistent data definitions, governance practices, and reusable analytical structures. Although the location of the position is in Newton, NJ, from time to time it may be required to undertake duties at other Thorlabs locations.
Essential Job Functions
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, well‑documented, 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.
Additional Responsibilities
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.
Physical Activities This is largely a sedentary role; however, some filing is required. This may include lifting files, opening cabinets, bending, or standing as necessary.
Qualifications
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.
Thorlabs offers a complete benefits package that includes medical, dental and vision insurance, company paid life insurance, a generous PTO package, a 401(k) plan, and tuition reimbursement just to name a few.
#J-18808-Ljbffr
  • New York, New York, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.