Offers & Shopping Quant Analytics Sr Associate

Testing Site - JPMC; New York (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

Testing Site - JPMC is seeking a data analytics professional to design digital analytics for UX/UI products, deploy A/B tests, and evaluate KPI performance.

You will build dashboards with Tableau or Streamlit, automate ETL, and optimize SQL/Python workflows while applying statistical methods to predictive modeling and measurement frameworks. Collaboration with product, design, and engineering is essential.

Qualifications

• Master’s degree in statistics, business analytics, finance, economics, mathematics, or engineering with quantitative research and data analysis.
• 3+ years analytics experience (with Master’s).
• Proficiency querying data (Snowflake SQL/Python) with ML libraries (pandas, NumPy, scikit-learn) and analytics tools (Adobe Analytics, Google Analytics, Segment).
• Advanced Excel skills to analyze complex data and translate findings into executive-level PowerPoint presentations.

Responsibilities

• Design and develop digital analytics requirements for UX/UI products and clickstream data.
• Develop and maintain dynamic dashboards using Tableau or Streamlit, automate ETL processes, and optimize SQL/Python queries.
• Conduct statistical analysis and predictive modeling using machine learning methods.
• Identify personalization opportunities by analyzing transaction and interaction data.
• Ensure data integrity with governance practices and present findings to stakeholders.
• Collaborate with internal stakeholders to translate business needs into analytical solutions.

Skills

Statistical analysis

A/B testing

Data storytelling

Executive communication

SQL programming

Python programming

Education

Master’s degree in statistics/analytics/finance/economics/mathematics or engineering with quantitative research

Tools

Snowflake SQL

Python (pandas, NumPy, scikit-learn)

Tableau

Streamlit

Adobe Analytics

Google Analytics

Segment

Split

Optimizely

Adobe Target

Excel

Job description

Job 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, capabilities, and skills

• 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.
• 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, capabilities, and skills

• Experience with experimentation tools like Split, Optimizely, Adobe Target, and designing analytics implementation to improve data collection and test design.