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Solutions Analyst - Operations Predictive Modeling & Forecasting - JPMorganChase
Systems Engineer
Solutions Analyst focused on building and maintaining predictive and forecasting models for marketing campaigns, leveraging Python, R, SQL and advanced statistical techniques to deliver actionable insights and optimize campaign performance.
About the role
Key Responsibilities
- Design, develop, and maintain complex predictive models that drive end‑to‑end forecast accuracy for marketing initiatives.
- Collaborate with cross‑functional teams to integrate data models into campaign execution workflows.
- Apply statistical and machine learning techniques to large, heterogeneous datasets, ensuring robust validation and performance monitoring.
- Translate analytical findings into clear, actionable recommendations for marketing strategy and resource allocation.
- Document model logic, assumptions, and performance metrics for audit and continuous improvement.
Requirements
- Proven experience building predictive models using Python or R, with strong SQL querying skills.
- Deep understanding of forecasting methods, time‑series analysis, and statistical modeling.
- Ability to work with large datasets, perform feature engineering, and evaluate model performance.
- Excellent communication skills to present complex insights to non‑technical stakeholders.
- Experience in a data‑intensive marketing or finance environment is a plus.
Skills
pythonsqlmachine learning