Anson McCade
Data Analytics Manager - Hybrid
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Data & Analytics Manager
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.
What’s on offer
- Salary: up to £65,000, depending on experience.
- Hybrid working: with two days per week in the Belfast office.
- Company Benefits Pack
- Opportunities:
- 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.
- Role:
- A varied role combining hands-on development, business partnering, and coordination of analytics delivery.
- Career progression: Excellent opportunities.
- Company culture: Modern and flexible.
- Travel: Minimal, working primarily with internal stakeholders and business data.
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What you need
- Experience: Typically six or more years’ experience in business intelligence, data analytics, analytics consulting, or a related discipline.
- Commercial awareness: Experience using data to understand revenue, margins, costs, or operational performance.
- Stakeholder management skills: Including gathering requirements, constructively challenging assumptions, and presenting ideas to senior audiences.
- Technical skills:
- 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.
- Practical experience building HTML dashboards or web-based analytical applications using HTML, CSS, JavaScript, and relevant visualization tools.
- Experience applying generative AI, Copilot, AI agents, or automation to practical business problems.
- Leadership experience: Managing or coordinating analysts, developers, or cross-functional delivery teams, including prioritizing work and reviewing quality.
- Cloud data platforms: Familiarity with cloud data platforms, ideally Microsoft Fabric, and an understanding of data quality, governance, and security.
Get help with your application
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Advantageous experience: Within financial or professional services. Relevant backgrounds could include BI, data consulting, or business analysis roles with substantial hands-on analytics and technical delivery responsibilities.
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