Location: Hybrid – 2 days onsite in Dublin/Office
Sector: Insurance
We are working with a leading Insurer to find a high‑calibre Senior Data Analyst. This is a pivotal hire for a business that prides itself on underwriting discipline and pricing integrity across Motor and Home lines.
As our client scales, they require a "hands‑on" data expert to take full ownership of their centralised data lake. This isn\'t just about running reports; it’s about ensuring the business has a "single source of truth" that senior leadership and capacity providers can trust implicitly. You will be the bridge between technical data architecture and commercial decision‑making.
Key Responsibilities
Data Lake Management: Own and enhance the existing centralised data lake. You will be responsible for ingesting, structuring, and harmonising data from various source systems.
Governance & Quality: Review current schemas, define core data entities, and implement robust validation checks and reconciliation controls.
Performance Analysis: Identify trends, movements, and drivers across products and channels, translating complex data into concise insights for non-technical stakeholders.
MI & Dashboarding: Build and maintain high-quality management information packs for both internal leadership and external insurer partners.
Stakeholder Engagement: Collaborate closely with Underwriting, Pricing, Finance, and Operations to translate business questions into analytical outputs.
Your Profile
Our client is looking for a proactive professional who thrives in a visible role and prefers a practical, high‑impact environment over theoretical modelling.
Required Skills & Experience
Proven Track Record: At least 5 years’ experience working with data lakes, warehouses, or centralised data platforms.
Technical Stack: Strong proficiency in SQL and/or Python is essential, alongside advanced Excel skills.
Analytical Mindset: A solid grasp of descriptive statistics and the ability to interpret large, complex datasets with high attention to detail.
Communication: The ability to present findings clearly and confidently to senior stakeholders.
Previous experience within a Personal Lines Insurance or MGA environment.
Familiarity with WTW’s Radar suite.
Experience across both Power BI and Tableau.
Why Consider This Opportunity?
High Impact: You aren't just a cog in a machine; your work will directly influence portfolio insight and commercial strategy.
Modern Environment: You will be taking over a solid data foundation and evolving it, rather than dealing with decades of messy legacy systems.
Exposure: You will work directly with senior leadership, gaining an end‑to‑end view of how a successful MGA operates.
Professional Growth: There is significant scope to grow your responsibility and influence as the organisation’s data maturity increases.
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