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Metro location plus generalist junior-mid data role with broad tooling increases applicant competition.
Actuarial policyholder data requires insurance domain knowledge and audit experience, reducing cross-industry transferability.
Explicit 1–3 years plus mandatory Excel/Power BI/Python and audited controls make filters moderately strict.
Operate, maintain, and update data pipelines that validate, transform, and enrich actuarial policyholder data for modelling and assumption setting.
Investigate and resolve data issues through proactive analysis and respond to stakeholder queries ensuring data accuracy and governance compliance.
Produce reports, dashboards, and documentation to support business decisions and audit processes, delivering high-quality outputs within agreed timelines.
1-3 years of relevant Data Analytics experience.
Proficiency in Excel (advanced functions), Power BI, and/or Python for data analysis and automation.
Bachelor’s or Master’s Degree; Data Analyst certifications advantageous.
Experience with data governance, quality validation, and working in financial or audited environments.
Experience in financial services or UK Life Insurance data analytics with understanding of actuarial data and controls.
Strong technical skills in Python/PySpark, Databricks, Spark SQL preferred but not mandatory.
Able to manage workload within defined processes and deliver precise, well-documented, audit-compliant outputs.