Offers & Shopping Quant Analytics Sr Associate

JPMorgan Chase JPMorgan Chase · Banking · New York, NY +1 · Consumer & Community Banking

This role focuses on designing and developing digital analytics requirements for UX/UI products, collaborating with cross-functional teams to deploy A/B tests and evaluate performance KPIs. The role involves developing dynamic dashboards, automating ETL processes, and performing data manipulation using SQL and Python. It also includes conducting statistical analysis and predictive modeling using machine learning methods, identifying personalization opportunities, and ensuring data integrity. The ideal candidate will have a Master's degree in a quantitative field, 3+ years of analytics experience, proficiency in SQL and Python with machine learning libraries, and experience with digital analytics and experimentation tools.

What you'd actually do

  1. 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.
  2. Develop and maintain dynamic dashboards using Tableau or Streamlit, automate ETL processes, and perform data manipulation and query optimization using SQL and Python.
  3. Conduct statistical analysis and predictive modeling using machine learning methods, and develop measurement frameworks for new strategies.
  4. Identify personalization opportunities by analyzing transaction and interaction data, and design telemetry and usage tracking solutions for BI tools.
  5. Ensure data integrity, accuracy, and consistency through robust data governance practices, and present findings and recommendations to stakeholders.

Skills

Required

  • Master’s Degree in statistics, business analytics, finance, economics, mathematics, or any engineering field involving significant quantitative research and data analysis.
  • 3+ years analytics experience.
  • Snowflake SQL
  • Python
  • pandas
  • NumPy
  • scikit-learn
  • Adobe Analytics
  • Google Analytics
  • Segment
  • Excel
  • PowerPoint
  • A/B testing
  • attribution methodology
  • experimental design
  • communication skills

Nice to have

  • Tableau
  • Streamlit
  • Split
  • Optimizely
  • Adobe Target

What the JD emphasized

  • Master’s Degree in statistics, business analytics, finance, economics, mathematics, or any engineering field involving significant quantitative research and data analysis.
  • 3+ 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.

Other signals

  • digital analytics
  • A/B tests
  • predictive modeling
  • machine learning methods
  • personalization opportunities
  • transaction and interaction data