Marketing Analytics Associate Card Data & Analytics

Job Description

Join a high-impact analytics team where your insights directly shape how we reach customers in digital channels. Youll translate complex behavioral data into clear recommendations help optimize campaigns through testing and measurement and partner closely with marketing product and data stakeholders to unlock the value of our data and drive growth.

As a Marketing Analytics Associate at JPMorganChase within the Card Data & Analytics team you will focus on translating customer behavioral data into insights that drive marketing strategies to influence card acquisitions on digital channels. You will develop plan and execute analytical projects both independently and in collaboration with teammates working closely with analysts channel marketing partners data owners and product owners to deliver capabilities that enable data-driven decision-making.

Job responsibilities

• Devise and evaluate methods and procedures for collecting data
• Conduct research and recommend marketing strategies in the digital space for the card business
• Partner across card digital channels to provide insights that support strategies to influence and grow new card acquisitions
• Support business growth targets by delivering concise insightful and timely analytics on key trends from large datasets
• Synthesize large volumes of data into actionable insights to influence business and marketing strategies
• Perform reporting and measure A/B tests for digital campaigns to support decision-making
• Deliver practical insights in a compelling way to senior leadership through presentations discussions and visualizations
• Continuously develop skills to provide best-in-class analytics

Required qualifications capabilities and skills

• 1 years of applied experience in business analytics (e.g. digital analytics customer analytics marketing analytics sales analytics business insights)
• Bachelors degree in a relevant quantitative field (e.g. Statistics Economics Applied Math Operations Research Physics Data Science)
• Strong knowledge of querying databases using SQL
• Experience with modern data science and analytics tools (Hive Python R)
• Basic knowledge of data mining quantitative research and data science techniques (e.g. machine learning)
• Strong verbal and written communication skills with the ability to work effectively in a team

Preferred qualifications capabilities and skills

• Masters degree in a relevant quantitative field
• Experience with Adobe Analytics Tableau and Alteryx
• Demonstrated ability to define business KPIs and establish measurement frameworks
• Financial services background