Data Analyst, Payments

🕒 April 1

🏢🏡 London – Hybrid

⏰ Full Time

🟢 Junior

🟡 Mid-level

📉 Data Analyst

🚫👨‍🎓 No degree required

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Teya

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💸 Finance

💳 Fintech

🛍️ eCommerce

Finance • Fintech • eCommerce

Teya is a UK-based company specializing in payment solutions for small and local businesses across Europe. The company offers a variety of services including card machines, mobile payment solutions like Teya Tap, and features such as next-day settlements and real-time analytics to help manage and boost business performance. Teya provides seamless integration with over 50 ePOS systems and offers various payment plans to suit different business needs. They are regulated by the Financial Conduct Authority, ensuring reliable and secure transactions.

📋 Description

• Act as the subject matter expert for the payments data lifecycle, covering authorisation, clearing, settlement, and reconciliation. • 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. • Work closely with Product Managers to define success metrics for new features and support Commercial teams with merchant-level profitability analysis and pricing scenarios. • 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. • 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, while you focus on deeper strategic analysis. • Translate complex terminal, POS, and eCommerce data into clear, actionable insights for senior stakeholders to inform product roadmap and pricing decisions.

🎯 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

🏖️ 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