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For Companies At a Glance
- Tasks: Lead the development of reporting and analytics for our Operations teams.
- Company: Join a top fintech company with a focus on innovation and inclusivity.
- Benefits: Competitive pay, equity options, remote work flexibility, and health insurance.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: 3+ years in analytics, expert SQL skills, and experience with Python.
- Other info: Enjoy fresh lunches, a supportive team culture, and excellent career growth.
The predicted salary is between 36000 - 60000 £ per year.
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 the 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.
- Reporting & Dashboarding
- 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
Must-Haves
- 3+ years working in BI/MI or analytics roles, with experience in SQL-heavy, reporting-centric environments.
- Expert-level SQL and hands-on experience with Python and ideally DBT.
- 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.
- Experience mentoring or managing analysts.
Desirable
- 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.
Interview Process
- Intro Call
- Take-home Task
- Task Debrief
- Final Chat with COO & CRO
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 we all come together IRL to be together, build and exchange ideas. Our in-house chefs prepare fresh, healthy lunches 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’re an equal opportunity employer and are keen to make Lendable the most inclusive and open workspace in London.
Senior Data Analyst (MI) employer: Lendable Ltd
Contact Detail:
Lendable Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst (MI)
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by practising common questions related to data analysis and SQL. We recommend using real-world examples from your experience to showcase your skills and how you can add value to the team.
✨Tip Number 3
Don’t forget to ask questions during your interview! This shows your interest in the role and helps you understand if the company culture is a good fit for you. Plus, it’s a great way to demonstrate your analytical thinking.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be one step closer to joining our awesome team and making an impact in the fintech world.
We think you need these skills to ace Senior Data Analyst (MI)
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, Python, and any relevant BI/MI projects. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific examples of data models or reporting infrastructure you've built. We love seeing real-world applications of your skills, so don’t hold back on the details!
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication, especially when it comes to complex topics like data analytics.
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 the role. We can’t wait to hear from you!
How to prepare for a job interview at Lendable Ltd
✨Know Your SQL Inside Out
As a Senior Data Analyst, you'll need to showcase your SQL expertise. 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 Reporting Skills
Prepare examples of dashboards or reports you've created in previous roles. Highlight how these tools helped stakeholders make informed decisions. If you have experience with DBT or similar tools, be sure to mention it!
✨Showcase Your Team Management Experience
Since this role involves mentoring a Senior Analyst, think about your leadership style. Prepare to discuss how you've supported team members in the past, focusing on how you prioritise tasks and ensure quality output.
✨Engage with Stakeholders
Communication is key! Be ready to share experiences where you've worked with both technical and non-technical stakeholders. Discuss how you’ve handled ad hoc requests and proposed improvements based on data insights.
