Senior Data Analyst (Credit)
TeyaHello! 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 a Senior Credit Data Analyst 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.