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To design, build, and lead the business intelligence and analytics capability across DCB Legal and DCBL. This role will architect and manage a centralised data environment, deliver insightful reporting and dashboards, enable self-serve analytics, and provide strategic and operational analysis that drives performance, efficiency, and growth. The successful candidate will assess current capabilities and propose the most suitable data and visualisation tools for our evolving needs, ensuring scalability, automation, and ease of use across the business.
Job Responsibility:
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
Requirements:
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
Nice to have:
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