Lead Data Analyst - Remote

Overview

Come build at the intersection of AI and fintech. At Ocrolus, we’re on a mission to help lenders automate workflows with confidence—streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions.

Our AI-powered data and analytics platform is trusted at scale, processing nearly one million credit applications every month across small business, mortgage, and consumer lending. By integrating state-of-the-art open- and closed-source AI models with our human-in-the-loop verification engine, Ocrolus captures data from financial documents with over 99% accuracy. Thanks to our advanced fraud detection and comprehensive cash flow and income analytics, our customers achieve greater efficiency in risk management, and provide expanded access to credit—ultimately creating a more inclusive financial system.

Trusted by more than 500 customers—including industry leaders like Better Mortgage, Brex, Enova, Nova Credit, PayPal, Plaid, SoFi, and Square—Ocrolus stands at the forefront of AI innovation in fintech. Join us, and help redefine how the world’s most innovative lenders do business.

In Short

• Design and implement data architecture solutions that optimize data processes and improve efficiency.
• Create and maintain end-to-end data pipelines from streaming platforms like Kafka to ensure real-time data availability on Snowflake or any other Database/Datawarehouse.
• Build and optimize OLTP & OLAP dashboards for analytical reporting, enabling data-driven decision-making using any visualization tools such as Power BI or Tableau.
• Write and optimize SQL queries to extract, manipulate, and analyze large datasets for business insights.
• Lead and mentor a team of data analysts, ensuring high-quality analysis and insights are delivered to stakeholders.
• Collaborate with cross-functional teams to gather business requirements and translate them into technical specifications.
• Optimize and streamline existing analytics processes to enhance reporting capabilities.
• Manage relationships with key stakeholders, understanding their data needs and delivering timely, actionable insights.

Requirements

• 6+ years of experience in data analytics, data architecture, and process optimization.
• Expertise in SQL: writing complex queries, optimizing database performance, and managing large datasets.
• Experience in building data pipelines from streaming platforms like Kafka and integrating it with Snowflake.
• Proven experience in developing and optimizing OLTP & OLAP dashboards and proficiency in any visualization tool like Power BI or Tableau.
• Strong experience with data architecture, process optimization, and ETL pipeline management.
• Demonstrated experience in team leadership and mentoring junior analysts.
• Excellent stakeholder management skills with the ability to communicate effectively across technical and non-technical teams.

Benefits

• Work in a dynamic and innovative environment that values your expertise.
• Lead and drive key data initiatives with significant business impact.
• Collaborate with a talented team and develop cutting-edge analytics solutions.