Analytics Engineer - Remote Opportunity in FinTech

About the Role

We're hiring an Analytics Engineer to join our team at Lendable, a leading fintech company on a mission to revolutionize credit access. This Analytics Engineer remote position offers the opportunity to make a significant impact on our operations from day one.

What You’ll Do

• Build the Operational Data Layer by designing and maintaining scalable DBT models and SQL pipelines that transform raw operational data into clean, reliable analytics layers.
• Establish clear metric definitions and data models to ensure operational teams can trust and reuse datasets across analyses.
• Develop a single operational analytics layer that integrates data across multiple systems, including customer support platforms and risk systems.
• Enable Self-Serve Analytics by designing systems that allow Operations teams to explore data independently without relying on manual reporting.
• Conduct analytical deep dives to identify operational inefficiencies, behavioral trends, and improvement opportunities using Python and SQL.
• Ensure data quality and integrity by proactively identifying discrepancies and improving the robustness of operational data pipelines.
• Mentor junior analysts on SQL modeling and analytical best practices to foster team development.
• Engage with stakeholders to translate operational questions into data models and insights that drive decision-making.

Requirements

• 3+ years of experience in analytics engineering, BI, or data analytics roles in SQL-heavy environments.
• Strong experience with SQL and DBT, including building and maintaining scalable data models.
• Experience using Python for analysis and visualization (e.g., Pandas, matplotlib, plotly, seaborn).
• Ability to translate complex data into clear insights for both technical and non-technical stakeholders.
• Experience mentoring analysts or contributing to team development.

Nice to Have

• Experience working with operational datasets (customer support, collections, fraud).
• Exposure to AI-assisted analytics workflows (e.g., Claude, GPT).
• Familiarity with modern data stacks (DBT, Snowflake, BigQuery).

What We Offer

• Best-in-class compensation, including equity options.
• Flexible remote work options, with in-office collaboration in London.
• Fully stocked kitchen with meals and snacks available.
• Private health insurance coverage for well-being.
• An inclusive and open workspace culture.