Data Analyst

Career-Defining Data Analyst Opportunity: Powering a FinTech Scale-Up\’s Credit Strategy

Are you a proactive, highly proficient Data Analyst ready to step into a pivotal role and drive real-time business decisions?

An award-winning, high-growth FinTech collective is seeking an ambitious analyst to join their Credit Risk team. Backed by major UK finance investors, this is an opportunity to fill a critical resource gap, directly influence strategic operations, and define your career trajectory in a meritocratic, flexible environment.

The Opportunity: Influence and Impact

This isn\’t just a standard entry-level role. We are looking for a self-starter who can quickly become the go to data expert for the business, sitting primarily within Credit Risk but functioning as a shared resource supporting diverse stakeholders, especially the high growth Originations teams.

Your Core Focus Will Be:

• SQL Data Mastery: Spend most of your time autonomously handling a diverse range of ad-hoc data requests (80-90% SQL-based) to support rapid business needs.
• Business Enablement: Support all originations, including volume analysis, new product launches, and ensuring data quality and availability across the platform.
• Actionable Insight Generation: Build and maintain reports and dashboards to help stakeholders self-serve and investigate critical data anomalies.

Essential skills and Experience:

• SQL Proficiency is Paramount: 1-2 years of practical, day-to-day experience using SQL in a professional capacity. You must be ready to hit the ground running.
• Quantitative Background: A top-class university degree with a strong quantitative component.
• Visualisation Skills: Proven experience building reports and dashboards using any modern visualisation tool (e.g., Tableau, Power BI, QuickSight).
• Adaptable & Agile: You thrive on variety, are comfortable switching between multiple small tasks quickly, and prefer a fast-paced environment over single, long-term projects.
• Proactive Self-Starter: You actively seek answers, propose solutions, and are results-driven.

Desirable skills:

• Experience with SAS and/or Python is beneficial.
• Prior background in Financial Services, Consumer Finance, or Retail Banking.
• Knowledge of Cloud-based databases (e.g., Redshift/Azure) or automation tools (e.g., Airflow).

Compensation, Benefits, and Recruitment Timeline

• Salary: £40,000
• Bonus Scheme: Annual bonus.
• Working Pattern: Hybrid – typically 3 days in office, 2 days from home, with flexibility to discuss a lighter office schedule

Key Benefits:

• 25 days annual leave (increasing up to 28 days with service).
• Private Medical Insurance (Bupa).
• Life Cover (4x basic salary).
• 5% company pension contribution.
• Dental Scheme and Income Protection.
• Generous Family Leave and optional Paid Volunteering Time.

Ready to use your SQL expertise to drive success at an industry-leading FinTech?