Data Analyst (Fintech)

Location: London, England, United Kingdom; hybrid work with a minimum of 3 days per week in-office.

Company

hirify.global provides free credit scores and reports and operates a consumer credit marketplace serving more than 20 million users across the UK, South Africa, Australia, and Canada.

What you will do

• Collaborate with Targeting squad members and provide insights into the performance of user segments.
• Monitor and report on the effectiveness of targeting strategies and deliver data-backed recommendations.
• Design and analyze A/B tests across user journeys to improve outcomes for users.
• Lead in-depth analytics projects to identify opportunities and address complex business challenges.
• Build efficient monitoring and reporting dashboards using SQL, Databricks, and Domo.
• Use advanced AI to automate and scale existing and new analytics processes.

Requirements

• Strong SQL and Excel skills, plus proficiency in either R or Python.
• Strong quantitative and numerical skills and a good understanding of hypothesis testing and foundational statistical principles.
• Experience using Domo or other data visualization tools.
• Ability to explain key findings from complex analysis and modeling exercises to technical and non-technical audiences.
• Curious, collaborative, self-starting mindset with a commitment to continuous learning.
• Ability to understand users, products, and user interactions and apply that understanding to relevant features and solutions.
• Willingness to understand a problem and its business importance before solving it.

Nice to have

• Knowledge of DBT.
• Experience with analytical tools such as Amplitude.

Culture & Benefits

• Hybrid work environment with flexibility and coordinated in-office collaboration.
• 25 paid holidays, a birthday duvet day, and generous maternity and paternity plans.
• Private health and dental cover, mental health support through Bupa, GP office visits, life assurance, and up to 6% matched pension.
• Learning and development investment, regular Lunch and Learns, leadership-led training, and career growth planning.
• Inclusive, user-centric, data-driven culture with autonomy, transparent pay structure, and no clock-watching culture.
• Dog-friendly office, daily breakfast, free snacks, sports and social clubs, an in-house psychotherapist, and a financial coach.