At a Glance
- Tasks: Design and maintain data models and dashboards to drive insights for operations.
- Company: Join Lendable, a leading AI-driven fintech in London.
- Benefits: Competitive salary, clear progression path, and work with a talented data team.
- Other info: Opportunity to mentor junior analysts and influence senior leadership decisions.
- Why this job: Lead the creation of impactful MI infrastructure at a rapidly growing fintech.
- Qualifications: 2-4 years in analytics, expert SQL skills, and experience with DBT and Python.
The predicted salary is between 80000 - 80000 £ per year.
You will own the MI infrastructure across Operations teams, including Customer Service, Fraud, and FinCrime. By designing robust DBT models and SQL pipelines, you will consolidate disparate datasets into a unified reporting layer. This hands‑on role is critical for delivering the actionable insights that allow leadership to monitor performance and meet regulatory requirements.
Why this role is remarkable
- Lead the creation of a scalable MI infrastructure from the ground up at one of the UK's most successful, profitable fintechs.
- Join a high‑growth scale‑up that has raised over £580M in funding and is rapidly expanding its international footprint.
- Benefit from a clear progression path to Lead Analyst while working alongside a sophisticated data team of scientists and engineers.
What you will do
- Design and maintain robust DBT models and SQL pipelines to transform raw data into a single source of truth for operations.
- Build and manage automated dashboards in Superset/Preset to track critical KPIs like SLA performance, fraud trends, and complaint volumes.
- Act as the primary technical point of contact for the COO and senior leadership to support regulatory compliance and performance monitoring.
The ideal candidate
- 2-4 years of experience in BI/MI or analytics roles with a heavy focus on building data models and reporting infrastructure.
- Expert‑level SQL skills with hands‑on experience using DBT and Python to manage complex data transformation pipelines.
- Proven ability to mentor junior analysts and communicate complex technical insights to non‑technical senior stakeholders.
Senior Data Analyst: Build Scalable MI & KPI Dashboards employer: Jack & Jill
Lendable.co.uk is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets opportunity. As a high-growth fintech, we provide our employees with clear career progression paths and the chance to work alongside a talented team of data scientists and engineers, all while contributing to meaningful projects that drive the company's success. With a strong focus on employee development and a collaborative culture, Lendable is committed to fostering a workplace where your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst: Build Scalable MI & KPI Dashboards
✨Tip Number 1
Network like a pro! Reach out to current employees at Lendable.co.uk on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL skills and DBT models. We want to show them that you can handle those complex data transformation pipelines like a champ!
✨Tip Number 3
Don’t just talk about your experience; share specific examples of how you’ve built scalable MI infrastructures or automated dashboards. We need to demonstrate our impact in previous roles!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of your progress and help you along the way!
We think you need these skills to ace Senior Data Analyst: Build Scalable MI & KPI Dashboards
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with DBT models, SQL pipelines, and any relevant projects that showcase your ability to build scalable MI infrastructure.
Showcase Your Skills:In your application, don’t just list your skills—show us how you've used them! Provide specific examples of how you've transformed raw data into actionable insights or built automated dashboards in your previous roles.
Keep It Clear and Concise:We love a well-structured application! Keep your writing clear and concise, focusing on the most relevant experiences. Avoid jargon unless it’s necessary, and make sure your passion for data shines through.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Lendable.
How to prepare for a job interview at Jack & Jill
✨Know Your SQL Inside Out
Since the role requires expert-level SQL skills, make sure you brush up on your SQL knowledge. Be prepared to discuss complex queries you've written and how they helped solve specific problems. Practising common SQL interview questions can also give you a leg up.
✨Showcase Your DBT Experience
This position involves designing robust DBT models, so be ready to talk about your experience with DBT. Bring examples of projects where you've used DBT to transform data and explain the impact it had on reporting or decision-making.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of data pipelines and analytics. Review key concepts related to data transformation and reporting infrastructure. Being able to articulate your thought process will impress the interviewers.
✨Communicate Clearly with Non-Technical Stakeholders
As you'll be acting as a point of contact for senior leadership, practice explaining complex data insights in simple terms. Think of examples where you've successfully communicated technical information to non-technical audiences, as this will demonstrate your ability to bridge the gap.
