Senior Data Analyst (MI)

Lendable Ltd
London
2 days ago
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Overview

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.


Responsibilities

  • Own MI infrastructure; design and maintain robust DBT models and SQL pipelines to transform raw data into accurate reporting layers.
  • Ensure consistent metric definitions and a single source of truth across all operational reporting.
  • Build and maintain clear dashboards to track KPIs across service, risk, and complaints functions; deliver insights on SLA performance, fraud trends, QA scores, complaint volumes, vulnerable customer tracking, etc.
  • Consolidate disparate datasets from multiple systems to support holistic operational oversight; proactively identify and resolve data discrepancies, inconsistencies, or quality issues.
  • Manage and mentor a Senior Analyst, reviewing output quality and helping to prioritize delivery; define scalable processes to support future MI team growth.
  • Act as the primary MI point of contact for the COO and senior leadership; respond to ad hoc data requests and proactively propose improvements; ensure reporting supports both regulatory compliance and internal performance monitoring.

Qualifications

  • 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.

Benefits & Compensation

Best-in-class compensation, including equity; flexible work-from-home options on Monday & Friday; fully stocked kitchen; private health insurance; inclusive and open workspace in London.


Interview Process

Intro Call → Take-home Task → Task Debrief → Final Chat with COO & CRO.


Equal Opportunity

We are an equal-opportunity employer.


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