At a Glance
- Tasks: Lead data analytics to drive operational performance and insights across various teams.
- Company: Join one of the UK's fastest-growing fintech companies with a strong mission.
- Benefits: Best-in-class compensation, equity options, and flexible remote work.
- Why this job: Make a real impact in a dynamic environment while working with cutting-edge technology.
- Qualifications: 3+ years in analytics, expert SQL skills, and experience in reporting environments.
- Other info: Collaborative culture with opportunities for mentorship and career growth.
The predicted salary is between 36000 - 60000 £ per year.
Lendable is on a mission to build the world's best technology to help people get credit and save money. We are building one of the world’s leading fintech companies and are off to a strong start:
- One of the UK’s newest unicorns with a team of just over 600 people
- Among the fastest-growing tech companies in the UK
- Profitable since 2017
- Backed by top investors including Balderton Capital and Goldman Sachs
- Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)
So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.
Join us if you want to:
- Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1
- Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo
- Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting
The Role:
We’re looking for a hands-on Senior Data Analyst to lead the development and delivery of reporting and analytics across our Operations teams (Customer Service, Financial Support, Fraud, FinCrime, Complaints, and QA). This role is critical in ensuring operational performance is measured accurately, regulatory requirements are met, and leadership has the insights they need to act fast.
You’ll be the go-to person for MI infrastructure for our operations org building scalable data models, streamlining reporting pipelines, and consolidating multiple data sources into a unified operational reporting layer.
What You’ll Do:
- Own MI Infrastructure: Design and maintain robust DBT models and SQL pipelines to transform raw data into accurate, timely, and usable reporting layers. Ensure consistent metric definitions and a single source of truth across all operational reporting. Build and maintain clear, accessible dashboards to track KPIs across service, risk, and complaints functions. Deliver insights on areas such as SLA performance, fraud trends, QA scores, complaint volumes, vulnerable customer tracking, etc. Ensure reports are timely, trusted, and action-oriented.
- Data Consolidation & Integrity: Consolidate disparate datasets from multiple systems to support holistic operational oversight. Proactively identify and resolve data discrepancies, inconsistencies, or quality issues.
- Team Management & Development: Manage and mentor a Senior Analyst, reviewing output quality and helping to prioritise delivery. Define scalable processes to support future MI team growth.
- Stakeholder Engagement: Act as the primary MI point of contact for the COO and senior leadership, responding to ad hoc data requests and proactively proposing improvements. Ensure reporting supports both regulatory compliance and internal performance monitoring.
What We’re Looking For:
- 3+ years working in BI/MI or analytics roles, with experience in SQL-heavy, reporting-centric environments.
- Expert-level SQL and ideally hands-on experience with DBT and Python.
- Experience building and maintaining data models and reporting infrastructure.
- Strong understanding of data integrity, version control, and metric standardisation.
- Excellent communication skills for working with both technical and non-technical stakeholders.
- Exposure to operations, collections, fraud/fincrime, or complaints data.
- Familiarity with Superset/Preset or similar modern dashboarding tools.
- Experience in regulated environments or with regulatory reporting.
- Experience mentoring or managing analysts.
Interview Process:
- Take-home Task
- Task Debrief
- Final Chat with COO & CRO
Life at Lendable:
- The opportunity to scale up one of the world’s most successful fintech companies.
- Best-in-class compensation, including equity.
- You can work from home every Monday and Friday if you wish - on the other days, those based in the UK come together IRL at our Shoreditch office in London to be together, build and exchange ideas.
- Enjoy a fully stocked kitchen with everything you need to whip up breakfast, lunch, snacks, and drinks in the office every Tuesday-Thursday.
- We care for our Lendies’ well-being both physically and mentally, so we offer coverage when it comes to private health insurance.
- We are an equal-opportunity employer and are looking to make Lendable the most inclusive and open workspace in London.
Senior Data Analyst employer: Lendable
Contact Detail:
Lendable Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those at Lendable. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for your interviews by diving deep into Lendable's mission and values. Show us how your skills as a Senior Data Analyst align with our goals, and don’t forget to bring examples of your past work!
✨Tip Number 3
Practice makes perfect! Get comfortable with SQL and data modelling before your interview. We want to see you shine when discussing your technical expertise and problem-solving skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you're genuinely interested in being part of our amazing team at Lendable.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with SQL, DBT, and any relevant analytics projects. 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 fintech and how you can contribute to our mission at Lendable. Let us know why you’re excited about this opportunity and how you can make an impact.
Showcase Your Analytical Skills: In your application, don’t forget to showcase your analytical skills. Provide examples of how you've built data models or improved reporting processes in previous roles. We love seeing real-world applications of your expertise!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Lendable
✨Know Your SQL Inside Out
As a Senior Data Analyst, you'll need to showcase your SQL skills. Brush up on complex queries, joins, and data manipulation techniques. Be ready to discuss how you've used SQL in past projects to solve real-world problems.
✨Demonstrate Your Analytical Mindset
Prepare to talk about specific examples where your analytical skills made a difference. Think of situations where you identified trends or insights that led to actionable changes. This will show your potential employer that you can drive impact from day one.
✨Familiarise Yourself with DBT and Python
Since the role involves building robust DBT models and possibly using Python, make sure you can discuss your experience with these tools. If you have any projects or examples where you've implemented them, be ready to share those details.
✨Engage with Stakeholders
Communication is key! Prepare to explain how you've worked with both technical and non-technical stakeholders in the past. Highlight your ability to translate complex data insights into understandable terms for different audiences.