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Senior Data Analyst - Remote

Posted 6 days ago
Data Analysis
Full Time
UK

Overview

Lendable is on a mission to make consumer finance amazing: faster, cheaper, and friendlier. We're building one of the world’s leading fintech companies and are off to a strong start.

In Short

  • Lead the development and delivery of reporting and analytics across Operations teams.
  • Manage one Senior Analyst and be the go-to person for MI infrastructure.
  • Design and maintain robust DBT models and SQL pipelines.
  • Build and maintain dashboards to track KPIs.
  • Consolidate disparate datasets for operational oversight.
  • Act as the primary MI point of contact for senior leadership.
  • Ensure reporting supports regulatory compliance.
  • Mentor and manage analysts.
  • Proactively identify and resolve data discrepancies.
  • Work in a fast-growing fintech environment.

Requirements

  • 3+ years in BI/MI or analytics roles.
  • Expert-level SQL and experience with DBT and Python.
  • Experience in reporting-centric environments.
  • Strong understanding of data integrity and metric standardization.
  • Excellent communication skills.
  • Experience mentoring or managing analysts.

Benefits

  • Opportunity to scale up a successful fintech company.
  • Best-in-class compensation including equity.
  • Work from home every Monday and Friday.
  • Fully stocked kitchen in the office.
  • Private health insurance coverage.
  • Inclusive and open workspace.
Lendable logo

Lendable

Lendable is a rapidly growing fintech company on a mission to revolutionize consumer finance by making it faster, cheaper, and friendlier. As one of the UK's newest unicorns, Lendable has a team of over 400 people and has been profitable since 2017. The company is backed by prominent investors such as Balderton Capital and Goldman Sachs, and is highly rated by customers with a 4.9 rating on Trustpilot. Lendable has successfully rebuilt key consumer finance products, including loans, credit cards, and car finance, and aims to expand into major Western markets like the UK and US, where it seeks to challenge traditional banks with outdated systems. The company fosters a culture of ownership, innovation, and collaboration, encouraging its employees to take initiative and work in small, resourceful teams to build cutting-edge technology using AI and machine learning.

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