Technical skills
About this role
Junior BI Analyst / Data Analytics Engineer (London)
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
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.
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:
- 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
Automated Screening and Artificial Intelligence
Landbay may use automated tools, including artificial intelligence ("AI"), to assist in the administration of its recruitment processes. These tools may be used to analyse information contained within applications, CVs and other recruitment materials in order to identify qualifications, experience, skills and other attributes relevant to a particular role.
The output generated by such tools may be used to support recruitment activities, including candidate shortlisting, application prioritisation, skills matching, and identifying applicants whose experience appears to align with predefined role requirements. The criteria used by these tools are designed to assess job-related factors relevant to the position being recruited.
Where Landbay uses automated technologies in connection with recruitment activities, it will do so only where permitted by applicable data protection legislation and for legitimate recruitment and workforce planning purposes. Information generated or derived through such technologies may be combined with information provided directly by candidates and information otherwise obtained during the recruitment process.