£DOE GBP

Hybrid WORKING

Location: Belfast, Northern Ireland - United Kingdom Type: Permanent

Manager - Data, Analytics, AI & Power BI

Location: Belfast

Salary: Competitive, depending on experience

Department: Data & Analytics

We are looking for an experienced Data & Analytics Manager to join a growing Data & Analytics function in Belfast.

This is a hands-on player-manager role combining Power BI development, analytics, AI, stakeholder management and delivery leadership. You'll work closely with senior leaders and teams across the business to understand commercial and operational challenges, identify where data can add value and build practical solutions that improve decision-making.

The role is particularly suited to someone who enjoys being close to both the business and the technology. You'll continue to work hands-on with Power BI and data while exploring new ways to use AI, HTML and interactive data visualisation to move beyond traditional reporting.

What You'll Be Doing

• Partner with senior stakeholders to understand business, commercial and operational challenges.
• Translate business questions into practical data, analytics and reporting solutions.
• Develop and maintain Power BI dashboards, reports and semantic models.
• Work hands-on with Power BI Service, Power Query and DAX.
• Analyse complex datasets using SQL to identify trends, opportunities, risks and performance drivers.
• Manage the Power BI environment, including workspaces, access, refreshes, deployment and reporting standards.
• Develop more dynamic HTML-based dashboards and analytical applications, moving beyond traditional Power BI and Excel reporting.
• Explore and apply generative AI, Copilot and AI agents to improve reporting, analysis and business processes.
• Rapidly prototype new analytical solutions and turn successful ideas into scalable products.
• Work with Data Engineering, Technology, Security and Governance teams to ensure solutions are reliable and appropriately controlled.
• Manage the analytics and reporting backlog, prioritising work based on business value.
• Coordinate and support analysts, developers and data engineers across delivery.
• Review technical outputs and maintain high standards around data quality, performance and governance.
• Present insights and recommendations clearly to both technical and non-technical stakeholders.
• Coach and develop members of the wider Data & Analytics team.

What We're Looking For

We're looking for someone who combines strong technical capability with commercial awareness and excellent communication skills.

You'll ideally have:

• 6+ years' experience across data, analytics, business intelligence or a related discipline.
• Strong, hands-on Power BI experience.
• Advanced knowledge of Power BI Service, DAX, Power Query and semantic modelling.
• Strong SQL skills and experience working with complex datasets.
• Experience building dashboards and analytical solutions that have been adopted by the business.
• Experience working directly with senior stakeholders and business leaders.
• Strong understanding of commercial data, such as revenue, costs, margins, overheads, clients or operational performance.
• Experience managing or coordinating analysts, BI developers, data professionals or wider delivery teams.
• Excellent communication and presentation skills, with the confidence to challenge assumptions and put forward new ideas.
• A proactive and independent approach, with the ability to take a business problem and work out how data and technology can solve it.
• Experience with modern cloud data platforms, ideally Microsoft Fabric.
• Practical experience using AI, generative AI, Copilot or AI agents to support analytics, reporting or business processes.

Desirable Experience

• HTML, CSS and JavaScript or experience building web-based dashboards.
• Experience with Python, notebooks or other analytical tools.
• Experience with forecasting, predictive analytics or machine learning.
• Experience with data governance, data quality and information security.
• Experience working with CRM, finance, sales or operational datasets.
• Background in professional services, financial services, consultancy or another complex B2B environment.