Senior Data Analyst

Are you passionate about turning complex data into clear, commercial insights that drive growth?

Do you enjoy leading analytics initiatives that shape strategy and influence decision-making at scale?

Lexis Nexis® Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier and processes more efficient.

You can learn more about Lexis Nexis Risk at

In this role, you will lead advanced analytics to uncover insights across the customer lifecycle and support business growth. You will translate data into clear recommendations, partner across teams, and help drive a culture of data‑informed decision making. This role focuses on delivering measurable impact through analysis, experimentation, and strategic insight.

• Lead multi-source analysis across acquisition, engagement, retention, and lifecycle to identify growth drivers and trends
• Design and maintain executive dashboards and KPI frameworks; automate reporting and performance narratives
• Diagnose journey performance (triggers, paths, drop-offs, fatigue) and recommend optimisation actions
• Partner with Mar Tech, Data Engineering, and Ops to ensure scalable, high‑quality data and governance
• Translate analytics into clear commercial recommendations influencing campaigns and investment decisions
• Set and embed best practices in measurement, experimentation, and KPI design
• Mentor analysts and promote a data‑driven culture across the marketing function
• Support strategic planning through insight‑led portfolio and customer‑value growth recommendations

• Advanced SQL and strong experience with analytics tools, statistical methods, and enterprise dashboards
• Expertise in A/B & MVT testing, attribution models, lifecycle metrics, and causal analysis
• Experience with CDPs, journey orchestration, segmentation, and identity/data privacy practices
• Strong skills in data visualisation tools (e.g., Power BI, Tableau, Oracle Analytics) and advanced Excel
• Proven ability to convert complex data into clear, actionable insights for senior stakeholders
• Solid understanding of data governance, quality, and GDPR‑compliant data handling
• Commercial mindset with experience influencing decisions in complex/global environments
• Excellent communication and storytelling skills with focus on measurable business impact