Hybrid Analytics Engineer – Operations Analytics, Insights

at Lendable

• Job title: Analytics Engineer – Operations Analytics, Insights
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Pandas, Python, SQL, Go
• Location requirements: Hybrid, London, United Kingdom

About the role

• Analytics Engineer at Lendable developing data infrastructure for operational teams. Focused on AI-assisted analytics and scalable decision-making in fintech environment.

Responsibilities

• Build the Operational Data Layer
• Design and maintain scalable DBT models and SQL pipelines that transform raw operational data into clean, reliable analytics layers.
• Establish clear metric definitions and data models so operational teams can trust and reuse the same datasets across different analyses.
• Develop a single operational analytics layer that integrates data across multiple systems including customer support platforms, risk systems, QA tooling, and payments.
• Enable Self-Serve Analytics
• Design systems that allow Operations teams to explore data independently without relying on manual reporting.
• Leverage AI-assisted analytics tools (e.g., Claude or similar LLM workflows) to enable teams to query data, generate insights, and explore trends more efficiently.
• Build internal tooling and workflows that make operational data easier to access, understand, and analyse.
• Analytical Deep Dives & Insight Generation
• Go beyond reporting to identify operational inefficiencies, behavioural trends, and improvement opportunities.
• Use Python and SQL to conduct deeper analysis and create clear visualisations that help stakeholders understand complex operational dynamics.
• Produce structured analyses on topics such as SLA performance and operational bottlenecks, fraud and financial crime trends, customer support efficiency, complaint and vulnerability patterns, agent productivity and QA performance.

Requirements

• 3+ years experience in analytics engineering, BI, or data analytics roles in SQL-heavy environments.
• Strong experience with SQL and DBT, including building and maintaining scalable data models.
• Experience using Python for analysis and visualisation (e.g., Pandas, matplotlib, plotly, seaborn, etc.).
• Strong understanding of data modelling, metric standardisation, and analytical best practices.
• Ability to translate complex data into clear insights for both technical and non-technical stakeholders.
• Experience mentoring analysts or contributing to team development.

Benefits

• 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.