Data Analytics Manager - Hybrid

A financial and professional services business is seeking a Data & Analytics Manager to help shape how data and AI support commercial decision-making. Based in Belfast, this hands‑on role combines stakeholder engagement, analytics and technical delivery, with the freedom to explore ideas and turn business challenges into practical solutions.

• Salary up to £65,000, depending on experience.
• Hybrid working with two days per week in the Belfast office.
• Company Benefits Pack
• The opportunity to shape how the business uses analytics, generative AI and agentic tools.
• Ownership of projects from stakeholder discovery and rapid prototyping through to delivery and measurable business impact.
• A varied role combining hands‑on development, business partnering and coordination of analytics delivery.
• Excellent career progression opportunities
• Modern flexible company culture
• Minimal travel, working primarily with internal stakeholders and business data.

• Typically six or more years’ experience in business intelligence, data analytics, analytics consulting or a related discipline.
• Strong commercial awareness, with experience using data to understand revenue, margins, costs or operational performance.
• Excellent stakeholder management skills, including gathering requirements, constructively challenging assumptions and presenting ideas to senior audiences.
• Advanced hands‑on Power BI experience, including DAX, Power Query, semantic models and management of reporting environments.
• Strong SQL skills and confidence investigating complex datasets independently.
• Experience applying generative AI, Copilot, AI agents or automation to practical business problems.
• Experience managing or coordinating analysts, developers or cross‑functional delivery teams, including prioritising work and reviewing quality.
• Familiarity with cloud data platforms, ideally Microsoft Fabric, and an understanding of data quality, governance and security.

Experience with in financial or professional services would be advantageous. Relevant backgrounds could include BI, data consulting or business analysis roles with substantial hands‑on analytics and technical delivery responsibilities.