Senior Data Analyst (Credit)

Hello. We’re Teya.

Teya was founded on a simple belief: local businesses deserve better.

They are the cafés, restaurants, salons, shops and entrepreneurs that bring character to our high streets, create jobs and keep communities moving. Yet for too long, financial services has made life harder for them - with clunky tools, poor support and complexity that gets in the way of running a business.

Teya exists to change that.

We’re building a financial platform for local businesses across Europe - one built around simple tools, thoughtful design and real human support. Our Members rely on us to help them run their business with confidence, and that responsibility shapes the way we work.

We move fast. We care about quality. We stay close to the detail. And we believe great performance and genuine hospitality should go hand in hand.

If you want to build meaningful products, solve real problems and make a genuine difference for local businesses, we’d love to hear from you

The Role

We are looking for a Senior 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)

• Proven data warehousing experience, including dbt

• Data modelling in cloud environments (Snowflake, Redshift).

• Strong proficiency in SQL

• Strong experience with Tableau (or equivalent BI tool)

• Strong understanding of ETL processes

• Experience collaborating with Data Engineers on production pipelines

• Proficiency using Git for version control

• 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.