BI & Analytics Manager

Direct Collection Bailiffs Ltd; Runcorn; On-site; GBP 55,000 - 75,000; Full time

Job summary

A leading debt recovery firm is seeking a BI & Analytics Manager to drive business intelligence initiatives. The role involves designing a centralized data environment, creating insightful reports, and supporting strategic analysis. Ideal candidates will have strong experience in data analytics and BI solutions. This position offers a competitive salary of £55k-75k, along with a performance-related bonus and a hybrid working arrangement.

Benefits

Performance-related bonus

Hybrid working

Competitive salary

Qualifications

• Proven BI / MI or data analytics experience in a debt recovery, collections, or litigation environment.
• Strong technical background in data architecture, modelling, and analytics.
• Experience designing or maintaining data warehouses and automated data flows.
• Proven ability to evaluate, select, and implement appropriate BI / visualisation platforms.

Responsibilities

• Design, implement, and maintain a robust data warehouse.
• Develop interactive dashboards and self‑serve reporting solutions.
• Support price and segmentation model development for debt servicing.
• Create and deliver a BI & Analytics roadmap.

Skills

Data architecture

SQL

Python

Power BI

Stakeholder management

Tools

Power BI

Tableau

ETL/ELT tools

Job description

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Job Description: BI & Analytics Manager (Debt & Litigation Services)

Location

Hybrid - Head Office in Runcorn for office days

Purpose of the Role

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.

Key Responsibilities

• Data Architecture & Infrastructure
  • 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.
• Reporting & Insight
  • 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.
• Analytics & Strategic Support
  • 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.
• Planning & Leadership
  • 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.

Skills & Experience

Essential

• 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.

Desirable

• 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.

Personal Attributes

• Analytical, pragmatic, and commercially minded.
• Curious about data and passionate about improvement.
• Capable of both strategic planning and hands‑on technical delivery.
• Confident, collaborative, and able to influence across teams.

Package

• Competitive salary £55k-75k DoE.
• Performance‑related bonus.
• Hybrid working.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Marketing and Sales

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