Senior Data Analyst - Financial Services

We are supporting the build-out of a high-impact analytics capability within a market-leading, data-driven Life Insurance intermediary. This role is for a Senior Data Analyst who combines strong analytical capability with commercial thinking and stakeholder influence. You will play a key role in shaping how data is used to drive performance across marketing, sales and customer operations. This is a highly visible role with direct impact on revenue, conversion and strategic decision-making.<BR> &nbsp;<BR> <STRONG>Key Responsibilities</STRONG><BR> <UL> <LI>Own and deliver insight across key commercial areas (lead generation, conversion, retention)</LI> <LI>Identify opportunities to improve performance and drive measurable outcomes</LI> <LI>Act as a bridge between business and data engineering teams</LI> <LI>Partner with senior stakeholders to influence decision-making and strategy</LI> <LI>Design and implement analytics approaches to optimise customer journeys</LI> <LI>Lead on experimentation frameworks (A/B testing, performance measurement)</LI> <LI>Build scalable dashboards and reporting aligned to business KPIs</LI> <LI>Support development of data models, definitions and data quality, ensuring strong data governance standards</LI> <LI>Mentor junior analysts and contribute to the wider data capability</LI> </UL> <STRONG>Skills &amp; Experience Profile</STRONG><BR> <UL> <LI>Strong experience in a Data Analyst / Senior Data Analyst role within a commercial environment</LI> <LI>Advanced SQL and experience working with large, complex datasets</LI> <LI>Strong experience with data visualisation tools (Power BI, Tableau, etc.)</LI> <LI>Proven ability to influence stakeholders and drive business outcomes</LI> <LI>Experience delivering insight in fast-paced, performance-led environments</LI> </UL> <STRONG>Desirable</STRONG><BR> <UL> <LI>Marketing / growth / sales analytics experience</LI> <LI>Background in insurance, financial services or high-volume B2C businesses</LI> <LI>Experience with experimentation and optimisation frameworks</LI> <LI>Python / R or exposure to advanced analytics</LI> <LI>Experience with modern data platforms (such as Azure, Databricks, Snowflake, BigQuery)</LI> </UL> <STRONG><STRONG>Additional Information<BR></STRONG></STRONG> <UL> <LI>Salary&nbsp;&pound;65,000 - &pound;75,000 (based on experience) + benefits package&nbsp;</LI> <LI>Location: Hybrid working with onsite travel to&nbsp;the office in Basingstoke.</LI> <LI>Candidates must have the right to work and&nbsp;reside&nbsp;in the UK.</LI> </UL>