Data Analyst
Listed on 2026-03-07
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Finance & Banking
Lend Invest is the UK’s leading Fin Tech platform for property finance. Over the past 17 years, we have grown from just our two founders to a team of over 200 working to make property finance simple for everyone.
A workplace culture built around trying new things, getting things done, and having fun while we do it has helped us lend more than £7.5 billion of mortgages, put thousands of new or improved homes into the UK housing market, and successfully launch on the London Stock Exchange. We have big plans to continue growing the business, our products, our technology, and our people.
Aboutyour work
Reporting to our BI Team Lead, this is a great opportunity to lead and contribute to key projects around the bussiness within an established, well regarded team to drive the data strategy for one of the leading award winning Fin Tech businesses.
This role will be responsible for extracting and analysing data from a number of sources to enable Lend Invest to: answer key commercial questions, satisfy regulatory requirements and operate as efficiently as possible. There is significant scope to help to drive the data warehousing and self-serve reporting strategy for the whole business, in addition to taking on wider analytical projects.
The role would suit a financial services analyst with prior SQL skills who is looking for a highly visible and varied role at the heart of our business. You will be directly responsible for delivering accurate BI and analytics in Tableau/Metabase and actionable insights across multiple functional areas, so you’ll need to be able to build effective relationships with key stakeholders.
You will have the experience and technical ability to hit the ground running, building insights and solving data problems.
Key responsibilities:- Work with stakeholders from Finance, Credit Risk, Product, Tech, Operations, Marketing and senior management / Exco, to deliver the data they need to be more effective in their decision making
- Support the ongoing development of our DBT based, cloud data platform
- Involvement in modelling our Data Warehouse to answer business critical questions.
- Drive data-driven insights, formulate KPIs and create key Management Information to help the business monitor and report against progress.
- Be an ambassador for Data Quality within the business
- Contribute towards the strategy and design of systems related to data management, insights, analysis and reporting.
- Extensive experience creating data visualisations and insights using Tableau
- Good experience using SQL to extract and manipulate data
- Knowledge of ETL / data warehousing tools such as DBT and Redshift
- Experience across several of the following tools:
Python / R or similar, advanced MS Excel, Google Sheets, Metabase - Proven analytics experience in the financial services industry, preferably working with mortgage or consumer lending products;
- University graduate with a degree in a highly numerate discipline (Maths, Physics, Economics,etc);
- Driven to constantly question the status quo, test new tools and ways of thinking, measure the results, and learn from the experiences;
- Ability to work in a very fast paced work environment, to have initiative where necessary, and to understand and work towards the wider company vision
- 💰 Competitive salary + company bonus scheme
- 🏖️ 25 days holiday (increasing with the length of service)
- 💸 Matched pension contributions up to 4%
- 📈 Regular performance reviews to promote a culture of growth and development
- 🤝 Give as you earn scheme for charitable donations
- 🎓 Support for attending conferences and professional learning & development
- 🚲 Cycle to work scheme
- 🚂 Season ticket loan
- 🔌 Electric car loan scheme
- 🥳 Monthly socials & annual offsite
At LI we believe in bringing your whole selves to work, we are committed to a culture of belonging where individuals can form a genuine community. We are proud to be an equal opportunities employer and are committed to building a team that represents a variety of backgrounds, perspectives and skills.
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