Junior BI Analyst / Data Analytics Engineer

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 

• 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 

AI-Assisted Recruitment