Business Analyst

Summary

Join Ocrolus's Product Operations team as a high-caliber individual to drive the future of its mortgage business. You will play a pivotal role in coordinating with the tech organization (Product, Engineering, and Data) and own the inner workings of Ocrolus. Responsibilities include expert mortgage data analysis to inform product decisions, mining data for new offerings, establishing quality measures, analyzing Heap data for insights, assisting with customer requests and error resolution, analyzing customer modification data, and developing methods to correlate key metrics. This role requires problem-solving skills, a data-driven mindset, prior experience in a tech company, and proficiency in data analysis tools. Experience with mortgage or financial data and SQL is preferred. Excellent communication and collaboration skills are essential. Ocrolus offers a remote-first environment with a focus on growth and impact.

Requirements

• Problem-solving, analytical thinker with a natural inclination and curiosity to improve efficiency and drive outcomes using a data-driven mindset. Ability to identify patterns and provide actionable insights
• Prior experience working in a tech forward company in a product and / or operations capacity with proven results. Bias towards action, someone that gravitates towards taking ownership over difficult problems and isn’t satisfied until they’ve been solved
• Proficiency with data analysis tools (e.g., Excel, SQL) and data visualization
• Excellent communication skills with the ability to collaborate across teams
• Self-reliant and proactive, with the ability to take ownership of tasks and see them through to completion

Responsibilities

• Be the expert in all things related to mortgage data analysis to drive decisions and recommendations on the future of our product offering
• Mine data and test launches of new offerings, working closely with key cross functional stakeholders across our Workforce Operations, Product, Solutions and Engineering teams
• Establish best-in-class quality measures to ruthlessly grade the success of initiatives, enabling a hyper-calculated, iterative approach to improvement over time
• Regularly scrub and analyze Heap data to identify patterns and provide actionable insights for internal teams
• Assist in triaging customer requests, addressing errors from our Human in the Loop (HITL) or product issues, and consolidating feedback for product teams
• Analyze customer modification data to support product improvements and ensure alignment with business rules
• Develop methods to correlate key metrics like usage, ramp, and volume, providing insights to improve customer experience

Preferred Qualifications

• 2+ years of experience in SQL and ability to pull and manipulate data at scale
• Experience with mortgage or financial data is preferred
• Familiarity with customer support workflows and product feedback processes is a plus

Benefits

Remote work, flexible hours