Quant Analytics Senior Associate - Marketing Card Data Analytics at JPMorgan Chase & Co. | Wilmington, DE | $105K/yr – $150K/yr

JPMorgan Chase & Co.

Quant Analytics Senior Associate - Marketing Card Data Analytics

Wilmington, DE (On-site)

$105K/yr – $150K/yrSenior Level3+ years expFull time

Posted 4 months ago

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Job Summary

Drive end-to-end analytics for digital campaigns at Chase Card Digital to influence acquisition strategy and optimize profitability through rigorous measurement, A/B testing, and data storytelling.

Own end-to-end analytics for multiple digital campaigns and performance measurement.
Must-have: Advanced SQL skills and experience with Hive, Python, or R.
Collaborate with marketing strategy managers to influence acquisitions and optimize profitability.

Job Description

Responsibilities

Own end-to-end analytics for multiple campaign strategies on digital channels, including campaign performance measurement, ad hoc analysis, A/B and incrementality test reads, and profitability and optimization analysis
Partner with marketing strategy managers across Card Digital channels to optimize campaigns, develop new strategies, and provide best-in-class analytics to influence and grow new card acquisitions
Conduct research and recommend marketing strategies in the digital space to the card business
Support business growth targets by providing concise, insightful, and timely analytics for key trends by analyzing large datasets
Synthesize large volumes of data into actionable insights to influence business and marketing strategies
Deliver practical data insights in a compelling manner actionable by senior leadership using presentations, discussions, and visualizations

Requirements

Bachelor’s and Master’s degree in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance or related fields)
3+ years of industry experience in business analytics roles (e.g., digital analytics, customer analytics, marketing analytics, sales analytics, business insights)
Advanced knowledge of querying databases using SQL
Experience across a broad range of modern data science and analytics tools (Hive, Python, R, Alteryx)
Experience with visualization techniques for data analysis and presentation (Tableau, Power BI)
Experience with web analytics tools (Google Analytics, Adobe Analytics)
Knowledge in modern data mining, quantitative research, and data science techniques (e.g., Machine learning)
Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners

Preferred

Financial services background
Intellectually curious and eager to become subject matter expert in their focus area
A strategic thinker with the ability to focus on business goals
Highly organized and able to prioritize multiple tasks