Quantitative Analytics [Multiple Positions Available]

JPMorganChase • Plano, TX

3d • Onsite

About The Position

The Quantitative Analytics role analyzes large datasets to generate actionable insights that inform business and marketing decisions. It translates customer data into insights that drive business and marketing strategies and optimize offer acquisition outcomes. The position delivers business intelligence through dashboards and reports that measure customer engagement and performance indicators, and presents findings to stakeholders using advanced analytics techniques to interpret complex data and recommend actions.

The role designs experiments and communicates findings to senior management, collaborates with cross-functional teams to implement growth initiatives and measure performance, defines analytics strategy for portfolio growth and OKRs, and maintains a control environment that synthesizes data from multiple sources to identify ways to enhance customer engagement. The position is full-time and located at 8181 Communications Pkwy, Plano, TX 75024.

Requirements

• Master’s degree in Business Analytics, Data Science, Data Analytics, Mathematics, Statistics, Economics, Finance, or a related field, plus 3 years of experience in the offered role or a related occupation; alternatively, a bachelor’s degree in one of those fields plus 5 years of such experience.
• Three years of experience building interactive Tableau analytics and business intelligence dashboards using waterfall charts, heat maps, and custom calculated fields for conditional formatting.
• Three years of experience with data ingestion, transformation, and query optimization using Microsoft SQL Server and Teradata.
• One year of experience developing interactive Excel and PowerPoint reports using VLOOKUP, data analysis add-ons, pivots, macros, data validation, and Waterfall to present recommendations, track KPIs, and analyze performance for technical and non-technical stakeholders.
• One year of experience designing and executing A/B tests, including campaign and experiment performance measurement and deep-dive analysis.
• One year of experience automating recurring reports and dashboards using Python and Tableau, ETL techniques, and streamlined workflows.
• One year of experience performing statistical analysis and predictive modeling with R or Python.
• Related occupations include Quantitative Analytics, Business Intelligence, Data Scientist, Channel Marketing/Intelligence, and Technology Analyst.

Responsibilities

• Analyze large datasets to generate actionable insights for business and marketing decisions.
• Translate customer data into insights that drive business and marketing strategies and optimize offer acquisition outcomes.
• Deliver business intelligence through dashboards and reports measuring customer engagement and performance indicators.
• Present insights to stakeholders using advanced analytics techniques to interpret complex data and provide actionable recommendations.
• Design experiments and communicate findings to senior management.
• Collaborate with cross-functional teams to implement growth initiatives and measure performance.
• Define analytics strategy for portfolio growth and OKRs, and measure value add.
• Maintain a control environment and synthesize data from multiple sources to identify insights that enhance customer engagement.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level