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Operations QA Data Analyst - Remote

Posted 3 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

  • Join a fast-growing fintech company.
  • Analyze data to improve customer outcomes.
  • Work with a focus on data-driven decision making.
  • Collaborate with QA and product teams.
  • Build dashboards and reports for stakeholders.
  • Utilize SQL and ETL tools for data management.
  • Contribute to AI-automated QA frameworks.
  • Present insights to senior management.
  • Maintain high standards of data accuracy.
  • Drive improvements in operational strategy.

Requirements

  • Strong SQL skills.
  • Experience in data analysis.
  • Excellent communication skills.
  • Attention to detail.
  • Ability to work in a fast-evolving environment.
  • Familiarity with data validation and integrity.
  • Experience with dashboarding tools.
  • Understanding of customer outcomes.
  • Proficiency in Python and DBT is desirable.
  • Knowledge of operational risk analytics is a plus.

Benefits

  • Opportunity to scale a successful fintech company.
  • Best-in-class compensation including equity.
  • Flexible work from home options.
  • Fully stocked kitchen at the office.
  • Private health insurance coverage.
  • Commitment to diversity and inclusion.
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and aims to expand into major Western markets like the UK and US, where it seeks to challenge traditional banks with outdated systems.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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