Training Business Analyst in London

Training Business Analyst in London

London Full-Time 45000 - 55000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Analyse data to drive business decisions and improve local financial services.
  • Company: Join Teya, a company dedicated to empowering local businesses across Europe.
  • Benefits: Flexible hours, health support, generous leave, and a vibrant office culture.
  • Other info: Inclusive environment with opportunities for personal and professional growth.
  • Why this job: Make a real impact on local businesses while developing your analytical skills.
  • Qualifications: 1+ year in analytics, strong SQL skills, and a degree in a quantitative field.

The predicted salary is between 45000 - 55000 £ per year.

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.

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 care about quality.

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 Your Mission As a Business Analyst at Teya, you will sit at the heart of how we measure and forecast the economic value of our products.

You will work across our credit, acquiring and business account products to keep our valuation, unit economics, and customer lifetime value models grounded in how merchants actually behave.

You will start from problems already mapped by the team or identify new opportunities yourself, then structure how to solve them through rigorous analysis, testing, and collaboration with product, finance, and growth.

Whether you are rebuilding a Net Present Value model for a credit product, pressure-testing the assumptions behind a pricing change in acquiring, or designing the analytical framework for a new product, your work will sit between data and decision-making.

Operating at the intersection of analytics and business strategy, you will bring a critical eye to how forecasts are built and how they are used.

You will challenge assumptions, validate model outputs against in-market performance, and make analytical contributions that range from a single product feature to the broader picture of Teya’s economic engine.

From day one, your work will have immediate, tangible impact on company performance and on how Teya thinks about its business.

Responsibilities Build and maintain Net Present Value, unit economics, and customer lifetime value models for Teya’s products across credit, acquiring and business account, ensuring assumptions are grounded in observed merchant behaviour.

Conduct in-depth analyses of customer behaviour and product performance, identifying the levers that drive value creation and the assumptions in our models that do not hold up under scrutiny.

Design, implement, and analyse experiments (A/B tests, holdouts, natural experiments) to validate hypotheses about pricing, credit risk, customer segmentation, and product strategy.

Develop and monitor key metrics and dashboards that track real-time portfolio and product economics, surfacing where actual performance is diverging from forecast and what the team should do about it.

Collaborate cross-functionally with Product, Finance, Marketing, and Engineering to translate analytical insights into product, pricing, and commercial decisions that get implemented.

Conduct investigative analysis to identify data gaps, model limitations, and opportunities to improve valuation methodology, proactively surfacing insights that change how Teya understands its business.

Requirements 1 year + in business/credit analytics, valuations, credit risk, customer analytics, or strategy in financial services, lending, or a similarly data-driven environment.

Bachelor’s degree in a quantitative field such as Mathematics, Physics, Statistics, Economics, or a related discipline.

Proficiency in SQL for data extraction and manipulation, and Excel and/or Python for modelling.

Demonstrated analytical problem-solving abilities, with the capacity to break down complex, ambiguous business challenges into structured, solvable components and develop actionable solutions.

Excellent communication skills, with the ability to translate technical analyses into clear business insights and influence stakeholders across technical and non-technical audiences.

Self-directed and comfortable with ambiguity, able to take initiative in identifying problems, proposing solutions, and driving projects forward without extensive oversight.

Familiarity with lending economics is a plus — expected loss, risk-adjusted returns, cohort repayment curves.

The Perks We trust you, so we offer flexible working hours, as long as it suits both you and your team.

Physical and mental health support through our partnership with Well Hub, giving free access to over 1,500 gyms in the UK, 1-1 therapy, meditation sessions, and digital fitness and nutrition apps.

Our company offers extended and improved maternity and paternity leave choices, giving employees more flexibility and support.

Cycle-to-Work Scheme.

  • Health and Life Insurance.

Pension Scheme. 25 days of Annual Leave (plus Bank Holidays).

Office snacks every day.

Friendly, comfortable, and informal office environment in Central London.

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.

Training Business Analyst in London employer: Teya Solutions

At Teya, we believe in empowering local businesses with a financial platform that prioritises simplicity and genuine support. Our vibrant office in Central London fosters a friendly and informal work culture, where employees enjoy flexible working hours, comprehensive health benefits, and ample opportunities for personal and professional growth. Join us to make a meaningful impact on the community while enjoying a supportive environment that values diversity and innovation.

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Contact Details:

Teya Solutions Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Training Business Analyst in London

Get to Grips with Data Visualisation Tools

If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.

Join Local Business Intelligence Meetups

Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Teya Solutions!

Engage with Online BI Communities

Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.

Leverage Your University’s Career Support

If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!

We think you need these skills to ace Training Business Analyst in London

Business Analytics
Credit Risk Analysis
Customer Analytics
Valuation Methodology
SQL
Excel
Python

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at Teya Solutions, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at Teya Solutions

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

Practice your technical know-how

Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.

Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

Get familiar with Teya Solutions’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.