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Metro location, early-mid 1–3 years, and generalist data-pipeline role increase candidate competition.
Technical data skills are transferable but actuarial and insurance knowledge increases domain specificity.
Explicit 1–3 years plus mandatory Excel/PowerBI/Python and financial-services audit controls raise strictness.
Operate, maintain, and update data pipelines that validate, transform, and enrich policyholder data for actuarial modelling and assumption setting.
Ensure data integrity through validation, quality checks, and governance standards, and investigate data issues proactively or as raised by stakeholders.
Produce reports, dashboards, and documentation supporting business decisions, audits, and continuous improvement within defined timelines and quality standards.
1-3 years relevant Data Analytics experience (depending on role level).
Proficiency in Excel (advanced formulas, pivot tables, Power Query), 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 practices and producing audit evidence in Financial Services or similar audited environment.
Experienced with analytical data tools and able to translate complex data into clear insights and reports for varied stakeholders.
Capable of managing workload and priorities within structured processes, with attention to detail and strong operational discipline.
Prior exposure to actuarial, UK Life Insurance, or Financial Services environment involving data controls, audit readiness, and collaborative stakeholder engagement.