A key player in scientific instrumentation is seeking an Analytics Engineering Supervisor to manage the analytics ecosystem, ensuring accurate metrics and supporting business decision-making. This role will work closely with data engineering to maintain data pipelines and develop self-service reporting solutions. The ideal candidate will bring over 5 years of experience in analytics engineering and excellent skills in KPI management and data governance. A hybrid work model is offered alongside benefits, including generous PTO and retirement plans.
Qualifications
5+ years of experience in analytics engineering, data analytics, or related roles.
Strong experience defining and managing KPIs and metrics across stakeholders.
Experience facilitating business discussions and translating requirements.
Responsibilities
Define, design, and oversee enterprise semantic models and metrics.
Serve as the primary analytics partner to business stakeholders.
Partner with Data Engineering to ensure data pipeline support.
Skills
Analytics engineering
Business intelligence
Data governance
Data literacy
KPI management
Education
Bachelor’s degree in Computer Science or related field
Tools
Power BI
SQL
Microsoft Azure
Job description
A key player in scientific instrumentation is seeking an Analytics Engineering Supervisor to manage the analytics ecosystem, ensuring accurate metrics and supporting business decision-making. This role will work closely with data engineering to maintain data pipelines and develop self-service reporting solutions. The ideal candidate will bring over 5 years of experience in analytics engineering and excellent skills in KPI management and data governance. A hybrid work model is offered alongside benefits, including generous PTO and retirement plans.