Role Overview
The Analytics Engineer is accountable for turning Managed Services Technology data into trusted, reusable data products that support delivery decisions, service operations, and executive reporting.
What You Will Do
Analytics data modelling and transformation, metric, KPI and semantic layer ownership, data quality, testing and observability, reporting, insight and decision support, AI-enabled and automation-aware analytics.
Why It Might Be a Fit
Strong experience in analytics engineering, data modelling, BI engineering, data analysis, data engineering or a similar modern data role, advanced SQL experience, and experience with data transformation frameworks.
Requirements
- Strong experience in analytics engineering, data modelling, BI engineering, data analysis, data engineering or a similar modern data role.
- Advanced SQL experience
- Experience with data transformation frameworks, version control, code review, CI/CD, testing, documentation, and analytics lifecycle management.
- Experience defining KPIs, semantic layers, metric catalogues, business glossaries, dashboards or governed self-service reporting assets.
- Experience working with operational, workflow, service management, product, AI, automation or managed service data preferred.
- Experience with Python, dbt or equivalent transformation tooling, BI platforms, data observability, data catalogues or lineage tools preferred.
Benefits
- Leadership development programs and executive coaching
- A culture valuing diverse perspectives, empowering leaders to drive innovation and collaboration
- A world-class parental leave policy offering up to 26 weeks of leave for caregivers
- Flexibility to choose when, where, and how you work
To apply for this job please visit linkedin.com.
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