teya - Data Analyst (Payments)
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) • Strong analytical mindset with a focus on root cause analysis and experimentation • Excellent communication skills with the ability to influence cross-functional stakeholders • 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
Responsibilities
• Domain Ownership: • Act as the subject matter expert for the payments data lifecycle, covering authorisation, clearing, settlement, and reconciliation. • Proactive Analysis: • Go beyond standard reporting by delivering unprompted insights. Diagnose root causes of changes in authorisation rates and identify margin leakage driven by transaction mix or fee structures. • Commercial & Product Partnership: • Work closely with Product Managers to define success metrics for new features and support Commercial teams with merchant-level profitability analysis and pricing scenarios. • Data Architecture & Quality: • Own the “single source of truth” for key payments metrics (volumes, revenue, margins). Collaborate with Engineering to define tracking requirements and proactively identify and resolve data gaps. • Semantic Layer Development: • 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. • Self-Service Strategy: • Develop scalable data models in dbt and create Tableau dashboards that empower stakeholders to self-serve insights, while you focus on deeper strategic analysis. • Actionable Narratives: • Translate complex terminal, POS, and eCommerce data into clear, actionable insights for senior stakeholders to inform product roadmap and pricing decisions.
Benefits
• Physical and mental health support through our partnership with GymPass, including access to gyms, therapy, meditation, and wellness apps • Enhanced maternity and paternity leave policies for greater flexibility and support • Cycle-to-Work Scheme • Private Health and Life Insurance • Pension Scheme • 25 days annual leave + bank holidays • Daily office snacks • Friendly, collaborative, and informal office environment in Central London
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