LANDBAY
Junior Analytics Engineer

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Junior Analytics Engineer
About Landbay
We are an award-winning mortgage platform, created for our customers, designing better ways to buy-to-let. Our vision is to become the ‘go-to’ funding partner in the private rental sector.
At Landbay, we focus on the customer, and we bring together the best people and partners, leveraging our data, technology, and market expertise – to give people what they really need. Today we are the UK’s leading prime Buy-to-let marketplace mortgage lender having lent circa £4bn in partnership with our funding partners.
Join Landbay and you’ll be part of a growing, ambitious, and supportive team, where everyone is encouraged to contribute, regardless of background or experience. Our team, our community, and the wider world matters to us, as much as the work we do. We’re building a company we love, and we hope you’ll love it too.
For more information about Landbay please visit our website: https://landbay.co.uk/about-us
The Role
- Collaborate with stakeholders to understand and support analytical requirements
- Collaborate closely with teams across the business to understand their objectives, define metrics, and identify opportunities for data driven decision making.
- Support product discovery and feature releases
- Work alongside Tech and Product teams to shape new features through data and help evaluate their impact post-launch.
- Develop and maintain BI logic in dbt
- Write and maintain dbt models that power our BI layer, ensuring data accuracy, consistency, and alignment with business definitions.
- Support the development and maintenance of our Looker environment
- Structure Looker dashboards and explores for ease of use, maintain data governance, and help improve the overall self-serve experience.
- Contribute to stakeholder enablement and adoption of BI tools
- Educate and support users across the business in self-serving their reporting needs, and act as a trusted advisor on best practices.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Interpersonal Skills & Experience
- Some relevant working experience, whether through work, placement or self-led learning, with the ability to evidence the skills needed for the role.
- Strong analytical and problem solving skills
- Clear communication skills with a good ability to translate insights and communicate with both technical and non-technical stakeholders at all levels
- Curious, proactive and keen to develop.
- Strong attention to detail.
Technical Skills
Required:
- Good SQL skills (to be used mainly via DBT and Snowflake dialect)
Desirable:


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- Exposure to Looker or similar BI tools (Power BI, Tableau, etc) is desirable
- Exposure to Snowflake or similar data warehouses (BigQuery, duckdb, etc) is desirable
- Exposure to orchestration tools like Orchestra is desirable (Airflow, Prefect, Dagster, etc)
Location & Logistics
- Position is based in Victoria, central London, reporting to the Data Manager.
The Application Process
- If you are successful and shortlisted for the role, there will be a screening call, a tech test, and a 2-stage interview with the team.
Tech test: At Landbay, we use AI and are continuing to invest in tools that help our teams work smarter and more effectively. We’re comfortable with candidates using AI as part of their thinking or workflow, including during the technical task. However, you remain accountable for anything you submit or share with us. We’ll expect you to be able to clearly explain your approach, the decisions you made, and how you reached your output.
Company Benefits
- Generous holiday entitlement
- Flexibility to work from home up to 3 days per week
- Generous pension scheme
- Health insurance
- Enhanced family leave
- Volunteering & Wellbeing Days
- Electric Vehicle Scheme
- Life Insurance
- Cycle-to-work scheme
- Regular Social events
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