Data and Insight Analyst

GC is a social enterprise committed to driving inclusive economic growth and providing responsible finance to individuals and businesses who may struggle to access traditional lending. As our lending portfolios grow, high-quality data insight is vital to keeping our operations sustainable, transparent, and aligned with our values.

In this role, you'll develop and maintain the division's analytics capability, delivering reporting, dashboards, and actionable insight. You'll provide trusted data to support decision-making across finance, credit, and operations, working closely with the Divisional Director to shape priorities and turn insight into practical improvements.

While the focus will be on reporting and portfolio analysis, there will also be opportunities to support emerging predictive analytics as the function evolves. This role is ideal for someone who enjoys problem-solving, improving data structures, and translating complex information into clear, meaningful intelligence., * Build and maintain core analytics foundations for the division.

• Ensure data accuracy, consistency, and clear documentation.
• Work with the Divisional Director to align analytics activity with strategy.
• Introduce best practice in data management, reporting, and analysis.
• Create and maintain SQL reports for operational and contractual needs.
• Build Power BI dashboards that provide clear, actionable insight.
• Support finance/treasury function with accurate data for reconciliations and reporting.
• Enhance reporting frameworks to ensure they are scalable and fit for purpose.
• Translate complex data into clear visuals and summaries.
• Analyse lending portfolio performance across the full lifecycle.
• Support understanding of arrears, bad debt, and operational drivers.
• Carry out exploratory analysis to identify risks, trends, and opportunities.
• Provide insight to drive operational improvement and planning.
• Contribute to initiatives that improve fairness, efficiency, and sustainability., Artificial intelligence can assist you during the application process, but every example and statement you include must be honest, accurate, and based on your own real experiences. If plagiarism is detected, meaning you present someone else's ideas or experiences, or AI-generated content, as your own, your application may be withdrawn, and internal applicants could face disciplinary action.

At GC, safeguarding the welfare of all individuals including vulnerable adults and young people is a top priority, and we expect all staff to uphold this standard. All appointments follow Safer Recruitment Procedures, including a DBS check carried out by Due Diligence Limited (DDC Ltd), at no cost to the successful candidate.

Please note: It is a legal offence to apply for a role involving regulated activity if you are on the Barred List.

We are committed to increasing workforce diversity and offer a guaranteed interview to applicants who meet the essential criteria and either have a disability or are from a diverse ethnic community.

If this applies to you, you can request consideration under this scheme during the application process. Your request will be shared only with the Hiring Manager and Internal Recruitment Team., * Meeting the hiring manager or touring the venue in advance.

• Extra time for tasks.
• Interview questions shared beforehand.
• Accessibility software or equipment for assessments.

We're proud to support the Ban the Box campaign, which helps people with convictions access job opportunities. As part of this, we've removed questions about convictions from the initial application stage.

GC is committed to fostering a culture of flexibility and agile working. Many roles will increasingly support full agile arrangements. If you require more permanent flexibility, we encourage you to discuss this during your interview so your request can be considered early in the process.

All GC colleagues will work in line with the Health and Safety at work act and the GC Health and Safety Policy.

Do you have experience in SQL?, * Highly organised, detail-oriented, and proactive.

• Confident working with technical, operational, and strategic stakeholders.
• Skilled at translating complex data into clear, practical insight.
• Experienced in interrogating, transforming, and presenting data effectively.

Skills:

• Background in collections, arrears management, debt analytics, or a similar analytical environment.
• Advanced SQL capability, with a strong track record of building MI and reporting frameworks.
• Knowledge of Azure Synapse Analytics and cloud-based data platforms.
• Proficient in Power BI (or similar), able to create clear, decision-ready dashboards.
• Skilled at producing insight that is interpretable, proportionate, and actionable.
• Strong data interrogation, transformation, and validation skills.
• Competence in Python (or similar) for analytical work or modelling.
• Proven ability to develop predictive models that support operational decision-making.
• Familiarity with predictive modelling within a credit or financial services context.
• Involvement in developing or expanding longer-term analytics or insight capabilities.