Lead Data Analyst

March 5

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Ocrolus

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Ocrolus is a company that provides AI-driven document processing automation with human-in-the-loop. It specializes in streamlining and enhancing the accuracy of financial document analysis and decision-making for various industries, including small business lending, mortgage, consumer, and multifamily sectors. Ocrolus's technology enables lenders to manage risk and avoid fraud by automating document analysis, ensuring compliance, and bolstering security. The company offers intelligent document processing solutions that classify, capture, detect, and analyze data, providing insights into cash flow, income, employment, address, and identity verification. Ocrolus is known for its innovative approach in automating business processes and enhancing back-office efficiency with a focus on making faster and more accurate financial decisions.

document classification • data analytics • fintech • data validation

201 - 500 employees

🤖 Artificial Intelligence

💸 Finance

💳 Fintech

💰 $80M Series C on 2021-09

📋 Description

• At Ocrolus, we believe companies work best when they focus on their core business and let automation do the rest. • We’re powering the digital lending ecosystem and help financial services firms make high-quality decisions with trusted data and unparalleled efficiency. • Ocrolus’ Human-in-the-Loop document automation software analyzes documents with over 99% accuracy. • We’re replacing legacy OCR vendors that cap out at 75-80% accuracy. • By empowering lenders to analyze diverse sources of financial data more efficiently, Ocrolus levels the playing field for every borrower. • Join us as we build the future of fintech, and make an impact at an award-winning, high-growth startup. • Understanding our data and unlocking its value is central to our continued growth and success. • This is a huge opportunity to support our company mission, and we are excited to talk to candidates with a range of interesting backgrounds!

🎯 Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, or a related field. • 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 • Extensive knowledge of Python for data integration, manipulation and automation. • 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

• Dynamic and diverse team environment • Development opportunities to empower you in and out of the office • Equal opportunity irrespective of race, gender, gender identity, age, disability, or national origin