Portfolio Data Analyst

Join the Global Product Organization (GPO) as a Portfolio Data Analyst. In this role, you will bridge the gap between market reality, advanced data infrastructure, and executive strategy. You will focus on utilizing data sources and AI tools for business intelligence, predictive decision engines, and financial modeling. You will also be responsible for democratizing intelligence, ensuring data quality, and maintaining competitive intelligence. This position offers flexible work models, paid time off, health care benefits, and learning and development opportunities.

Utilizing data sources and AI tools for holistic and product-specific business intelligence, moving beyond retrospective reporting to build automated strategic foresight and predictive decision engines.

If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team

Responsibilities

• Architecting "Sense-Decide-Act-Learn" operational loops, incorporating agent-driven AI tools to automate complex data synthesis in near real-time.
• Evaluating and monitoring timelines of key initiatives, ensuring key dates are met with the corresponding deliverable or business actions, and proactively discovering and quantifying the ROI of new feature opportunities.

Requirements

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