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- Tasks: Analyse data to shape credit strategies and support innovative lending products.
- Company: Fast-growing digital lender with a strong culture of innovation and collaboration.
- Benefits: Competitive salary, flexible working, generous leave, and career growth opportunities.
- Why this job: Make an immediate impact in a dynamic environment focused on data-driven decision-making.
- Qualifications: Experience in data analysis, strong SQL skills, and proficiency in visualisation tools.
- Other info: Join a team that values autonomy and problem-solving in the financial tech space.
The predicted salary is between 36000 - 60000 £ per year.
This is a great opportunity to join a fast‑growing digital lender where you will work at the intersection of data, credit strategy, and product innovation. You will play a meaningful role in shaping credit decisioning and analytical capability within a business that places data at the centre of every decision.
They are a high‑growth financial services organisation building next‑generation lending products for homeowners across the UK. With a strong culture of ownership, innovation, and collaboration, they are scaling their credit, data, and technology functions to support continued expansion. Their environment suits people who enjoy autonomy, problem‑solving, and making an immediate impact.
You will work with credit risk, data, product, and engineering teams to deliver accurate, insightful analysis and reporting. Your work will directly support credit strategy, performance monitoring, and new product initiatives.
- Collecting, structuring, and validating data from internal and third‑party sources.
- Building dashboards, reports, and automated data pipelines to monitor portfolio and business performance.
- Analysing customer behaviour, portfolio trends, and decision outcomes to identify risks and opportunities.
- Supporting the testing and monitoring of new credit policies, strategies, and decisioning engines.
- Ensuring data accuracy, consistency, and adherence to governance standards.
Strong commercial experience in data analysis or business intelligence, ideally within lending or a fast‑paced tech environment.
High proficiency in SQL for extracting, transforming, and structuring data.
Experience with visualisation tools such as Power BI, Tableau, Looker, or similar.
Ability to communicate insights clearly and collaboratively with stakeholders across the business.
A curious, proactive mindset, with a drive to improve reporting processes, data quality, and decision‑making.
£45,000 to £50,000 base salary, plus discretionary bonus.
~25 days annual leave plus bank holidays.
~Flexible working and work‑from‑anywhere allowance.
~Opportunities to expand your career across credit risk or data engineering within a growing team.
If this BI Analyst role sounds like the right next step, please submit your application today.
Business Intelligence and Database Analyst in City of London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence and Database Analyst in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for interviews by practising common BI Analyst questions. Think about how your skills in SQL and data visualisation tools can solve real problems for the company. Show them you’re not just a number cruncher but a strategic thinker!
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you email to express your appreciation and reiterate your enthusiasm for the role. It keeps you fresh in their minds!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Business Intelligence and Database Analyst in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the BI Analyst role. Highlight your experience with data analysis, SQL, and any visualisation tools you've used. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and how you can contribute to our mission at StudySmarter. Be sure to mention specific projects or experiences that showcase your analytical capabilities.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We love candidates who can think critically and come up with innovative solutions, especially in fast-paced environments like ours.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Harnham
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with visualisation tools like Power BI or Tableau. Be ready to discuss how you've used these tools in past roles to extract insights and drive decisions.
✨Showcase Your Analytical Mindset
Prepare examples of how you've approached data analysis in previous jobs. Think about specific projects where you identified trends or risks and how your insights led to actionable outcomes. This will demonstrate your proactive approach and problem-solving skills.
✨Understand the Business Context
Research the company’s products and credit strategies. Being able to connect your analytical skills to their business goals will show that you're not just a data person, but someone who understands how to make an impact in a fast-paced environment.
✨Communicate Clearly
Practice explaining complex data insights in simple terms. You’ll likely need to collaborate with various teams, so being able to communicate effectively with stakeholders is key. Prepare to discuss how you've done this in the past.