Bi & Analytics Manager

• Design, implement, and maintain a robust data warehouse or equivalent data model that consolidates key systems (case management, telephony, payments, CRM, finance)
• Develop automated data pipelines (ETL/ELT) to ensure accuracy, timeliness, and consistency
• Establish data governance standards, quality controls, and security protocols
• Recommend and implement the optimal BI and visualisation platform for organisational needs
• Develop interactive dashboards and self-serve reporting solutions for stakeholders at all levels
• Produce regular and ad hoc MI for senior leadership, clients, and regulatory purposes
• Translate business questions into clear analytical outputs, identifying actionable insights and trends
• Monitor and report on key KPIs across collections, litigation, client performance, and operational efficiency
• Support the development of pricing and segmentation models for debt purchase and servicing
• Provide analytical support for strategy testing, campaign performance, and operational optimisation
• Identify revenue opportunities, efficiency gains, and cost reduction through data-led insight
• Evaluate outcomes of new initiatives and make evidence-based recommendations
• Create and deliver a BI & Analytics roadmap aligned to business priorities
• Balance strategic projects with day-to-day reporting and stakeholder requests
• Promote a culture of data-driven decision-making and build self-serve capability across teams
• Collaborate with technology partners and vendors on automation, AI, and advanced analytics projects

• Proven BI / MI or data analytics experience in a debt recovery, collections, or litigation environment
• Strong technical background in data architecture, modelling, and analytics (e.g., SQL, Python, R, or similar)
• Experience designing or maintaining data warehouses and automated data flows
• Proven ability to evaluate, select, and implement appropriate BI / visualisation platforms (e.g., Power BI, Tableau, Qlik, Looker, or equivalent)
• Strong communication and stakeholder management skills – able to translate data into business language
• Organised, proactive, and comfortable managing competing priorities

• Experience integrating with CRM (we have several, including a home-grown platform), telephony (e.g., TCN), or payment systems (e.g., Acquired.com)
• Familiarity with predictive modelling, segmentation, or AI-led analytics
• Knowledge of client and regulatory MI reporting requirements
• Exposure to automation tools and API-driven integrations

Performance-related bonus