Hybrid Analytics Engineer

Posted last month

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About the role

  • Analytics Engineer at Lendable, focusing on data foundations for credit card and personal loan products. Collaborate with cross-functional teams to drive user acquisition and business partnerships.

Responsibilities

  • Owning our suite of external partner data reports, critical to the functioning of our relationships with origination partners.
  • Building and maintaining DBT models to transform raw data into reliable datasets for analysis.
  • Collaborating closely with analysts to design data models that make reporting and insights easier.
  • Working with product and marketing teams to ensure new features, products and campaigns are properly instrumented.
  • Investigating and fixing issues in our analytics pipelines to keep data accurate and up to date.
  • Helping document data sources, models, and best practices so the team can move faster.
  • Learning from and collaborating with senior engineers and analysts to improve your technical skills.

Requirements

  • Good SQL skills and some experience with data modelling.
  • Familiarity with DBT (or willingness to learn).
  • Exposure to modern data warehouses like Snowflake, BigQuery, or Redshift.
  • An analytical mindset, with the ability to translate business questions into data solutions.
  • Willingness to learn and grow in a fast-paced environment.
  • Strong communication and collaboration skills, especially when working with non-technical stakeholders.
  • Experience communicating and collaborating with external stakeholders a nice to have.

Benefits

  • Best-in-class tools: Work with Snowflake, DBT, and Fivetran to deliver reliable data at scale.
  • Collaborative environment: Join a cross-functional team of analysts, engineers, and product managers.
  • Room to grow: Learn from experienced colleagues with opportunities to expand your technical and business expertise.
  • Varied projects: Get hands-on experience across marketing, business development and product analytics.
  • Health insurance
  • Best-in-class compensation, including equity.
  • Fully stocked kitchen with everything you need to whip up breakfast, lunch, snacks, and drinks in the office every Tuesday-Thursday.
  • Opportunity to scale up one of the world’s most successful fintech companies.

Job title

Analytics Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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