
Data Analyst, Payments
Teya
full-time
Posted on:
Location Type: Hybrid
Location: London • United Kingdom
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About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLTableaudbtdata modelingroot cause analysisdata analysisAI-driven workflowssemantic layerpayments metricstransaction lifecycle
Soft Skills
analytical mindsetcommunication skillsinfluencecollaborationstrategic analysisproblem-solvinginsight deliverystakeholder engagementcross-functional teamworkadaptability