Data Analytics Manager

About Lendable

Lendable is on a mission to build the world's best technology to help people get credit and save money. We're 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

1. 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
2. Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo
3. 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 Data Analytics Manager 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 manage one Analyst (with future headcount potential), and be the go-to person for MI infrastructure—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 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.

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.
• Experience mentoring or managing analysts

Interview Process

1. Intro Call (30 mins)
2. Take-home SQL + DBT Task (2 hours)
3. Task Debrief (45 mins-1 hour)
4. Final Chat with COO & CRO (1 hour)

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're an equal-opportunity employer and are looking to make Lendable the most inclusive and open workspace in London

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