Develop advanced analytics, data models, algorithms, and insights from large-scale geospatial datasets. Use Snowflake and SQL to build efficient data transformations and production data products, while applying Python, statistical analysis, machine learning, and visualization techniques. Identify data quality issues, optimize analytical processes, and independently drive projects from problem definition through delivery. Collaborate with development teams and communicate complex findings as actionable recommendations.

Manage day-to-day accounting (A/P, A/R), reconcile G/L accounts, review and post journal entries, support month-end close and financial reporting, assist with commissions, tax compliance, cash forecasting, and process improvements in a multi-company SaaS environment.