Analytics Engineer (Credit) in London

Hello! We're Teya. Teya is a payment and software service provider, headquartered in London serving small, local businesses across Europe. Founded in 2019, we build easy to use, integrated tools that enable our members to accept payments and boost business performance.

At Teya we believe small, local businesses are the lifeblood of our communities. We’re here because we don’t believe there’s a level playing field that gives small businesses with a fighting chance against the giants of the high street. We’re here because we see banks and legacy service providers making things harder for them. We don’t think the best technology or the best service should be reserved for those with the biggest headquarters. We’re here to fight for a future where small, local businesses can thrive, and to commit the same dedication they offer all of us. Become a part of our story.

We’re looking for exceptional talent to join our mission. We offer a chance to create impact in a high-energy and connected culture, while benefiting from continuous learning opportunities, a supportive community which is proud to serve our mission, and comprehensive benefits.

The Role

We are looking for an Analytics Engineer to lead our data strategy within the Credit Product team. You will be responsible for the full data lifecycle — from designing robust dbt models to delivering insights that drive SMB lending decisions. You will work closely with Credit, Product, and Engineering teams to ensure our credit products are optimized, scalable, and supported by high-integrity data.

Key Responsibilities

• Data Leadership
  • Lead the credit business with data-driven solutions
  • Own the roadmap for credit reporting and analytics from inception to delivery
• Modelling & Architecture
  • Design, implement, and maintain scalable data models in dbt
  • Ensure the Data Warehouse remains a reliable “source of truth” for credit performance
• Stakeholder Management
  • Partner with business leads to gather requirements
  • Translate complex raw data into well-structured data models and clear reports
• Self-Service Growth
  • Develop and maintain Tableau dashboards
  • Promote a data-driven culture by enabling non-technical stakeholders to interpret insights independently
• Optimization & Analysis
  • Analyze external customer data (Credit Bureau, Companies House) alongside internal business data
  • Improve risk assessment and product conversion performance
• Data Quality
  • Maintain high data quality standards across the lifecycle
  • Collaborate with Data Engineers to ensure reporting requirements are aligned with product implementation

Must Have Requirements

• 3+ years’ experience in a data-related role (ideally within FinTech or Lending)
• Strong proficiency in SQL
• Strong experience with Tableau (or equivalent BI tool)
• Proven experience with dbt and data modelling in cloud environments (Snowflake, Redshift)
• Strong understanding of ETL processes
• Experience collaborating with Data Engineers on production pipelines
• Proficiency using Git for version control
• Strong analytical skills with ability to translate technical findings into business conclusions
• Self-starter attitude, comfortable in fast-paced environments

Nice to Have

• Direct experience in SMB lending or Credit products
• Experience working with Credit Data Scientists (building datasets for lending funnel analysis or predictive modelling)
• Experience handling Credit Bureau data (Experian/Equifax)
• Experience working with Companies House data
• Proficiency in Python for data manipulation
• Exposure to Machine Learning

The Perks

• Flexible working hours built on trust and collaboration
• Physical and mental health support through Wellhub, including access to 1,500+ gyms, 1-1 therapy, meditation, and wellbeing apps
• Enhanced maternity and paternity leave
• Cycle-to-Work Scheme
• Health and Life Insurance
• Pension Scheme
• 25 days of annual leave (+ bank holidays)
• Daily office snacks
• Friendly, informal office environment in Central London

Teya is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work. We believe that a diverse team leads to better ideas, stronger outcomes, and a more supportive workplace for all. If you require any reasonable adjustments at any stage of the recruitment process whether for interviews, assessments, or other parts of the application—we encourage you to let us know. We are committed to ensuring that every candidate has a fair and accessible experience with us.