At a Glance
- Tasks: Extract and analyse data to drive insights and support key business decisions.
- Company: Join LendInvest, the UK's leading FinTech platform for property finance.
- Benefits: Enjoy a competitive salary, hybrid working, and 25 days holiday plus perks.
- Why this job: Be at the heart of a growing FinTech, making a real impact with data.
- Qualifications: Experience in SQL, data analysis, and financial services preferred.
- Other info: Dynamic team culture focused on innovation and career growth.
The predicted salary is between 50000 - 60000 £ per year.
LendInvest is the UK’s leading FinTech 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.
About your work
Reporting to our BI Team Lead, this is a great opportunity to lead and contribute to key projects around the business within an established, well regarded team to drive the data strategy for one of the leading award winning FinTech businesses. This role will be responsible for extracting and analysing data from a number of sources to enable LendInvest 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. Please note - we are unable to provide sponsorship for this role.
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.
About you
- Good experience using SQL to extract and manipulate data.
- Knowledge of ETL / data warehousing tools such as DBT and Redshift.
- Experience analysing and presenting data using tools such as advanced MS Excel or Google Sheets, and BI reporting platforms (e.g. Metabase, PowerBI, Tableau or Similar).
- Proven analytics experience in the financial services industry, preferably working with mortgage or consumer lending products.
- 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.
Benefits & perks
- Competitive salary + company bonus scheme.
- Hybrid working policy.
- 25 days holiday (increasing with the length of service).
- Private healthcare.
- Enhanced parental leave.
- Matched pension contributions up to 4%.
- Critical illness cover.
Data Analyst in Glasgow employer: LendInvest
Contact Detail:
LendInvest Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Glasgow
✨Tip Number 1
Network like a pro! Reach out to current employees at LendInvest on LinkedIn. Ask them about their experiences and any tips they might have for landing the Data Analyst role. Personal connections can give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL skills and data analysis techniques. Be ready to showcase your experience with tools like Tableau or Metabase. We want to see how you can turn data into actionable insights, so come armed with examples!
✨Tip Number 3
Show your passion for data! During interviews, share your thoughts on the latest trends in data analytics and how they could apply to LendInvest. This will demonstrate your enthusiasm and commitment to driving data strategy within the company.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team at LendInvest and contributing to their exciting journey in the FinTech space.
We think you need these skills to ace Data Analyst in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role at LendInvest. Highlight your SQL skills and any experience with data warehousing tools like DBT and Redshift. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis in the financial services sector. Share specific examples of how you've driven insights or improved processes in previous roles.
Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you’ve used them! Include examples of projects where you’ve extracted and analysed data to solve problems or support decision-making. We love seeing real-world applications!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Let’s get started on this journey together!
How to prepare for a job interview at LendInvest
✨Know Your SQL Inside Out
Since the role requires good experience using SQL, make sure you brush up on your SQL skills before the interview. Be prepared to discuss specific queries you've written or challenges you've faced while extracting and manipulating data.
✨Familiarise Yourself with BI Tools
Get comfortable with BI reporting platforms like Tableau or Metabase. You might be asked to explain how you've used these tools in past projects, so have some examples ready that showcase your ability to present data effectively.
✨Understand the Business Context
LendInvest is all about property finance, so do your homework on the company and the industry. Understand their products and how data plays a role in decision-making. This will help you connect your skills to their needs during the interview.
✨Show Your Analytical Mindset
Be ready to demonstrate your analytical thinking. Prepare to discuss how you've driven data-driven insights in previous roles, formulated KPIs, and contributed to data quality. Highlight your ability to question the status quo and suggest improvements.