Data Analyst

Overview

In this role you will build and operate production-grade reporting and analytics that translate business demand into measurable value. You will create scalable Power BI and data solutions to improve decision quality and speed. You’ll balance day-to-day reporting with forward-looking analytics, including predictive and AI-assisted insights. As a technical leader, you’ll set standards, mentor others, and raise analytics delivery quality across the team.

Responsibilities

• Delivery of analytics products from prototype to production aligned to business priorities
• Develop scalable data pipelines and models to support trusted reporting
• Create reusable, well-modeled datasets and dashboards to reduce change cost
• Define requirements in business outcomes and ensure outputs answer commercial questions
• Drive adoption of products to reduce offline analysis and improve decision making
• Maintain accuracy, performance and trust in day-to-day reporting (BAU)
• Improve delivery speed via automation, standardisation and DevOps practices
• Develop forward-looking analytics (predictive/AI-assisted analytics)
• Provide technical leadership and mentor junior developers

Key requirements

• BSc in Computer Science, Mathematics, Economics or related discipline (or equivalent experience)
• CII qualification or progress toward it (desirable)
• Strong communication skills translating technical concepts to business insights
• Experience delivering data/analytics solutions in agile environments with senior autonomy
• Advanced Power BI capability (semantic modelling, DAX, dataflows) and data visualization expertise
• Strong SQL and data modelling skills for scalable, performant solutions
• Experience with modern data platforms (Databricks lakehouse, Azure data ecosystem)
• Ability to build trusted, well-governed datasets with data-quality validation
• Proactive delivery mindset, managing priorities and stakeholder expectations
• Understanding of analytics beyond reporting, incl. predictive analytics or machine-learning concepts
• Insurance or financial services experience (CII desirable)

• Strong communication
• Stakeholder engagement
• Proactive delivery mindset
• Power BI (semantic modelling, DAX, dataflows)
• SQL
• Data modelling

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