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Analytics Engineer - Remote

Posted 4 days ago
Data Analysis
Full Time
Worldwide

Overview

As an Analytics Engineer on our Growth team, you’ll play a key part in building the data foundations that drive our user acquisition and business partnerships across our credit card and personal loan products.

In Short

  • Own external partner data reports critical for relationships with origination partners.
  • Build and maintain DBT models for reliable datasets.
  • Collaborate with analysts to design data models for easier reporting.
  • Work with product and marketing teams for proper feature instrumentation.
  • Investigate and fix analytics pipeline issues.
  • Document data sources, models, and best practices.
  • Learn from senior engineers and analysts.

Requirements

  • Good SQL skills and some experience with data modeling.
  • Familiarity with DBT or willingness to learn.
  • Exposure to modern data warehouses like Snowflake, BigQuery, or Redshift.
  • Analytical mindset for translating business questions into data solutions.
  • Willingness to learn and grow in a fast-paced environment.
  • Strong communication skills, especially with non-technical stakeholders.

Benefits

  • Real impact on customer base growth and retention.
  • Work with best-in-class tools: Snowflake, DBT, and Fivetran.
  • Collaborative environment with cross-functional teams.
  • Opportunities for growth and learning from experienced colleagues.
  • Hands-on experience across various analytics projects.
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and aims to expand into major Western markets like the UK and US, where it seeks to challenge traditional banks with outdated systems.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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