Offers & Shopping Quant Analytics Associate at JPMorganChase · 450 W…

Summary: JPMorganChase is a leading financial services firm helping customers achieve their financial goals. The Offers & Shopping Quant Analytics Associate role involves designing digital analytics requirements, developing dashboards, conducting statistical analysis, and collaborating with stakeholders to translate business needs into analytical solutions. Responsibilities: - Design and develop digital analytics requirements for UX/UI products and clickstream data, collaborating with product managers, designers, and developers to deploy A/B tests and evaluate performance KPIs - Develop and maintain dynamic dashboards using Tableau or Streamlit, automate ETL processes, and perform data manipulation and query optimization using SQL and Python - Conduct statistical analysis and predictive modeling using machine learning methods, and develop measurement frameworks for new strategies - Identify personalization opportunities by analyzing transaction and interaction data, and design telemetry and usage tracking solutions for BI tools - Ensure data integrity, accuracy, and consistency through robust data governance practices, and present findings and recommendations to stakeholders - Partner with internal stakeholders to understand business needs and translate them into analytical solutions Required Qualifications: - Master's Degree in statistics, business analytics, finance, economics, mathematics, or any engineering field involving significant quantitative research and data analysis - 1+ years (with Master's) analytics experience - Proficiency writing code to query data (Snowflake SQL/Python) including experience with machine learning libraries (pandas, NumPy, scikit-learn) and experience with digital analytics tools (Adobe Analytics, Google Analytics, Segment) - Advanced skills in Excel to analyze complex data, paired with the ability to translate findings into high-impact PowerPoint presentations for executive-level decision making - Strong statistical understanding in A/B testing, attribution methodology, and experimental design - Excellent written and verbal communication skills with the ability to present complex data insights to stakeholders - Experience with experimentation tools like Split, Optimizely, Adobe Target, and designing analytics implementation to improve data collection and test design Preferred Qualifications: - Experience with experimentation tools like Split, Optimizely, Adobe Target, and designing analytics implementation to improve data collection and test design Required Skills: SQL, Python, Machine Learning, Digital Analytics Important Skills: Tableau, Statistical Analysis, Excel Nice-to-Have Skills: A/B Testing, PowerPoint Benefits: Comprehensive health care coverage, On-site health and wellness centers, A retirement savings plan, Backup childcare, Tuition reimbursement, Mental health support, Financial coaching