Ocrolus Inc. - Senior Business Analyst
Requirements
• Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, or a related field. • Experience: 4+ years in data analytics, data architecture, and process optimization. • Analytical strength: Strong analytical and problem-solving skills, with the ability to break down ambiguous business questions, find patterns and root causes in large datasets, and back conclusions with data and Visualization. • SQL: Expert at writing complex queries, tuning query and database performance, and managing large datasets. • Architecture and modeling: Designed scalable data models and platforms (dimensional, star/snowflake schemas) that handle high data volumes, with sound pipeline management. • Python: Strong working knowledge for data integration, manipulation, and automation. • Stakeholder management: Communicates clearly with both technical and non-technical teams. • Experience with Snowflake and ELT/orchestration tools (dbt, Airflow), plus Git/CI-CD for analytics code. • Data quality, observability, and governance practices, such as validation checks, lineage, and SLAs. • Snowflake cost and performance tuning (warehouse sizing, clustering, query profiling). • AI-driven analytics: hands-on use of LLMs and AI tools (for example Snowflake Cortex or Claude) for text-to-SQL, automated insights, or anomaly detection. • Life at Ocrolus • Life at Ocrolus • We’re a team of builders, thinkers, and problem solvers who care deeply about our mission — and each other. As a fast-growing, remote-first company, we offer an environment where you can grow your skills, take ownership of your work, and make a meaningful impact. • Our culture is grounded in four core values: Empathy – Understand and serve with compassion Curiosity – Explore new ideas and question the status quo Humility – Listen, be grounded, and remain open-minded Ownership – Love what you do, work hard, and deliver excellence • Our culture is grounded in four core values: • Empathy – • Curiosity – • Humility – • Ownership – • We believe diverse perspectives drive better outcomes. That’s why we’re committed to fostering an inclusive workplace where everyone has a seat at the table, regardless of race, gender, gender identity, age, disability, national origin, or any other protected characteristic. • We look forward to building the future of lending together.
Responsibilities
• Design and implement data architecture and data models that optimize data processes and improve efficiency. • Build and maintain reliable, scalable data pipelines that keep data available and trustworthy in Snowflake or another database or data warehouse. • Write and optimize SQL queries to extract, manipulate, and analyze large datasets for business insights. • Use Python to integrate, transform, and automate data workflows. • Analyze data to find patterns and root causes, and present findings with clear visualizations (Tableau, Sigma, or similar) that support data-driven decisions. • Collaborate with cross-functional teams to gather business requirements and translate them into technical specifications. • Optimize and streamline existing analytics processes to improve reporting capabilities. • Manage relationships with key stakeholders, understand their data needs, and deliver timely, actionable insights.
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