Data Analyst (Payments)

TL;DR

Data Analyst (Payments): Taking ownership of the payments data layer to ensure the acquiring business is measurable, scalable, and optimized for performance with an accent on improving authorization rates and optimizing margins. Focus on translating complex data into actionable insights for senior stakeholders to inform product roadmap and pricing decisions.

Location: Hybrid in London, UK

Company

hirify.global is a payment and software service provider, headquartered in London serving small, local businesses across Europe.

What you will do

• Act as the subject matter expert for the payments data lifecycle, covering authorisation, clearing, settlement, and reconciliation.
• Deliver unprompted insights to diagnose root causes of changes in authorisation rates and identify margin leakage.
• Work closely with Product Managers to define success metrics for new features and support Commercial teams with merchant-level profitability analysis and pricing scenarios.
• Build and maintain a robust semantic layer on top of payments data, ensuring consistent metric definitions across the business and enabling AI-driven workflows and Snowflake Cortex use cases.
• Develop scalable data models in dbt and create Tableau dashboards that empower stakeholders to self-serve insights.
• Translate complex terminal, POS, and eCommerce data into clear, actionable insights for senior stakeholders.

Requirements

• 2+ years of experience in a Data Analytics role within Payments, Acquiring, or FinTech
• Strong understanding of the card transaction lifecycle (Authorisation, Clearing, Settlement)
• Familiarity with fee structures (Interchange, Scheme Fees, Blended vs IC+ pricing)
• Strong proficiency in SQL and Tableau (or equivalent BI tool)
• Hands-on experience with dbt and data modelling
• Familiarity with Git and cloud data environments (e.g. Snowflake, AWS)
• Excellent communication skills with the ability to influence cross-functional stakeholders

Nice to have

• Experience working with Card-Present / POS terminal data
• Knowledge of chargebacks and dispute processes
• Proficiency in Python for modelling or advanced analysis
• Experience with pricing optimisation or portfolio segmentation
• Exposure to international payment schemes and local payment methods

Culture & Benefits

• Physical and mental health support through partnership with GymPass
• Enhanced maternity and paternity leave policies
• Cycle-to-Work Scheme
• Private Health and Life Insurance
• Pension Scheme
• Friendly, collaborative, and informal office environment in Central London