Business Intelligence

SUMMARY:
Are you a data-driven problem solver with a passion for turning insights into action?

A dynamic and growing financial services business is looking for an experienced Business Intelligence Analyst to join their high-performing team. This is an exciting opportunity for an analytical professional who thrives on using data to drive operational excellence, improve customer outcomes, and influence strategic decision-making.

POSITION INFO:
In this role, you'll sit at the intersection of data, operations, and strategy, leveraging analytics to optimise collections performance, enhance payment success rates, and identify opportunities to improve efficiencies across the business. You'll work closely with stakeholders across Operations, Risk, Finance, Technology, and Data teams, playing a key role in shaping and improving business processes through actionable insights.

If you're passionate about solving complex business challenges, enjoy working with large datasets, and want to make a measurable impact within a fast-paced and innovative environment, this opportunity could be the perfect next step in your career.

Key Responsibilities:

• Analysing collections and payment performance to uncover trends, risks, and opportunities.
• Developing meaningful dashboards, reports, and performance metrics that support business decision-making.
• Driving the optimisation of collection and payment strategies through testing, analysis, and continuous improvement.
• Identifying process inefficiencies and implementing data-driven solutions to improve operational performance.
• Supporting automation and system enhancement initiatives to increase efficiency and scalability.
• Collaborating with cross-functional teams to deliver strategic projects and business improvements.
• Presenting insights and recommendations to key stakeholders and leadership teams.
• Ensuring adherence to regulatory requirements and operational best practices.

• Degree in Business, Finance, Analytics, Information Systems, Statistics, Mathematics, or a related field.

• Minimum 4 years' experience in a Business Intelligence, Analytics, Collections, Payments, or Financial Operations environment.
• Proven track record of leveraging data to improve business performance and operational outcomes.
• Experience developing and refining collection, payment, or operational strategies.
• Exposure to financial services, lending, credit, fintech, or payments environments will be highly advantageous

• Advanced SQL skills.
• Strong experience with reporting and business intelligence tools.
• Experience working with large, complex datasets.
• Exposure to APIs, data integrations, and automated processes.
• Basic Python skills advantageous.
• Familiarity with Agile methodologies and project management tools.

• Actuarial: Life, Short-Term, Health, Pensions, and Quantitative
• Data & Analytics: Data Scientists, Data Analysts (Python, R, SQL, Machine Learning)
• Risk: Credit Risk, Market Risk, Model Risk, and Operational Risk Analysts
• Pricing: Specialists in Insurance and Financial Products
• AI & Machine Learning: ML Ops, NLP, Predictive Modelling Data Scientists
• Quantitative: Experts across Banking, Insurance, and FinTech