Portfolio Data Analyst

What you'll do

• Write production-grade code to build data pipelines and provide portfolio performance updates.
• Architect automated "Sense-Decide-Act-Learn" operational loops using agent-driven AI tools for real-time data synthesis.
• Develop cost-benefit analyses, SKU attach rates, and competitive assessments to support product roadmap prioritization.
• Integrate self-service AI and natural language tools to allow non-technical stakeholders to interact with data.
• Use SQL to ensure data integrity, define KPIs, and optimize data architecture across platforms.
• Build and maintain interactive dashboards to monitor feature usage and cloud cost drivers.
• Quantify the ROI of new feature opportunities using predictive models to anticipate market shifts.
• Maintain a granular understanding of competitive features and emerging technologies across the industry.

What we're looking for

• Bachelor’s degree in Economics, Business Analytics, Data Science, Finance, STEM, or a related quantitative field.
• 2 to 4 years of experience as a data analyst, financial analyst, strategy analyst, or in a product growth/management consulting role.
• Advanced Python development for data manipulation and machine learning using NumPy, Pandas, SciPy, and Scikit-learn.
• Proficiency in SQL for complex data extraction and platform integration.
• Proficiency with data visualization tools like Tableau or Power BI and complex financial modeling in Excel.
• MBA or Master's degree in Data Science, Financial Engineering, or Strategic Portfolio Management (preferred).
• Prior experience in top-tier management consulting, corporate strategy, or Revenue Operations (RevOps) in B2B/SaaS (preferred).
• Demonstrated "Scientific Tinkerer" mindset with deep intellectual curiosity and rigorous hypothesis testing habits (preferred).