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选择求职条件在 Databricks Lakehouse 中构建可信赖的分析数据模型，设计核心业务指标确保跨部门数据一致性。使用 SQL 与 Python 探索数据，将洞察转化为可复用的维度模型，支持决策并推动分析层升级。
We are looking for an Analytics Engineer to help build trusted, decision-grade data products across CMR Surgical. This role focuses on analytical data modelling, metric design, and repeatable analysis within our Databricks Lakehouse, with dashboards and reporting tools acting as downstream interfaces rather than the primary deliverable.
You will play a key role in moving us from ad hoc, tool-led reporting to a consistent, well-modelled analytics layer that stakeholders can rely on. The role combines analytical data modelling, SQL and Python-based analysis, and close collaboration with product owners and stakeholders.
The role also involves performing exploratory and investigative analysis. This includes using SQL and Python notebooks to explore data, test hypotheses, and answer emerging business questions before those insights are operationalised into reusable metrics or data models.
This is a hybrid role with a minimum of 1 day per week in our Cambridge office.
Responsibilities:
- Build and maintain trusted analytical data models (facts, dimensions, star schemas, semantic layers) within our Databricks Lakehouse
- Design, validate, and own core business metrics, to ensure consistency and correctness across business analytics
- Develop reusable analytical datasets and assets to support repeatable analysis and decision-making
- Perform ad-hoc exploratory analysis to answer business questions and support key decis[ions]
