Senior Data Scientist, Finance Analytics

📋 Description

• Own the monthly revenue forecast and assist in quarterly/annual planning.
• Build reports and dashboards to monitor revenue and guide decisions.
• Perform exploratory data analysis to derive metrics and KPIs for Extend's platform.
• Deliver analytics to support operations, finance, revenue operations, and internal teams.
• Collaborate with data engineering and product teams to ensure data tracking and ETL support.
• Partner with stakeholders to identify priorities by measuring reach and impact for operations teams.

🎯 Requirements

• Analytics and finance strategy experience, including forecasting and metrics.
• SQL and Python for data querying, modeling, and automation.
• Statistical analysis using R or Julia for advanced modeling.
• Data pipelines and modeling with dbt, AWS, and cloud platforms.
• Machine learning in finance, including forecasting and variance analysis.
• Data visualization using Tableau, Mode, Snowsight, and Google Sheets.

🎁 Benefits

• Collaborative team from diverse backgrounds in a supportive environment.
• Competitive salary with full medical, dental, and vision benefits.
• Stock in an early-stage startup growing quickly.
• Generous, flexible paid time off policy.
• 401(k) with Morgan Stanley financial guidance.