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forecasting analytics sql python data visualization📋 Description
- Use advanced analytics to study revenue, product/platform, usage, and trends.
- Develop insights and share dashboards, reports, and presentations.
- Participate in transformation projects to automate tasks and improve data quality.
- Create near-term insights and support forecasting and planning.
- Craft top-down and bottom-up analyses for long-term growth opportunities.
- Collaborate across Finance, Sales Ops, Product, Marketing, and Sales.
🎯 Requirements
- Strong ownership, curiosity, and critical thinking.
- Deep understanding of financials, metrics, and product/market context.
- Excellent written and verbal communication of data insights.
- Ability to derive analytical implications from complex analyses and forecasting models.
- Craft clear visualizations, dashboards, and reports.
- BA/BS in a quantitative field; 1-3 years analytics; SQL and Python; Excel.
🎁 Benefits
- Generous and competitive benefits package
- New hire stock equity (RSUs) and employee stock purchase plan
- Continuous career development and pathing opportunities
- Employee-focused best in class onboarding
- Internal mentor and cross-departmental buddy program
- Friendly and inclusive workplace culture
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