Card Marketing Analytics - Quant Analytics Associate Senior
Job Description:
- Join the Card Marketing Analytics team, where we drive the strategy and effectiveness of Chase's Credit Card marketing campaigns. Leverage our insights to optimize future initiatives and maximize the impact of Chase's multimillion-dollar marketing investments.
- As a Senior Associate within the Card Data and Analytics team you will focus on translating customer behavioral data into insights that drive marketing strategies to influence card acquisitions on digital/offline channels. You will develop, plan, and execute on analytical projects as an individual contributor. We are seeking an Associate ready to be a key member of the Channel Analytics team to work closely with Analysts, Channel Marketing and Risk partners, Data Owners, and Product Owners to deliver capabilities that unlock the power of our data.
Job Responsibilities:
- Conduct analysis of the credit card application funnel to enhance pended and completion rates, aiming to increase account volume and customer satisfaction.
- Identify and implement opportunities for improving application performance, supporting data-driven decisions to boost conversion rates.
- Collaborate with channel, product, and finance teams to execute analytical strategies that optimize overall performance.
- Work with marketing strategy managers across digital channels to refine campaigns, develop innovative strategies, and enhance analytics capabilities for acquiring new cardholders.
- Provide timely and insightful analytics to support business growth targets by analyzing key trends from large datasets.
- Transform extensive data into actionable insights to guide business and marketing strategies effectively.
- Communicate data insights compellingly to senior leadership through storytelling, presentations, and visualizations to drive actionable outcomes.
Required Skills and Qualifications:
- Minimum 7 years of experience in quantitative analytics for financial products, with a focus on card marketing strategies.
- Bachelor's degree in a quantitative field such as business, data science, finance, economics, engineering, or mathematics.
- Extensive experience querying big data platforms/languages (e.g., Snowflake, AWS, SQL, Python) and using visualization tools (e.g., Adobe Analytics, Tableau).
- Strong verbal and written communication skills to effectively articulate analytics and forecasts to business partners and leadership.
- Proven ability to create analytical datasets by wrangling data across multiple platforms/sources using tools like SQL, SAS, Python, or Alteryx.
- Expertise in generating analytical insights through ad-hoc or automated summary views using tools like Tableau or Excel.
- Hands-on experience in designing and coding automation frameworks to improve existing processes and data handling.
Preferred qualifications, capabilities, and skills:
- Background in financial services with a strong ability to generate insights and tell stories through data to drive stakeholder deliverables.
- Intellectually curious and eager to become a subject matter expert in their focus area.
- Strategic thinker with a focus on achieving business goals.
- Highly organized with the ability to prioritize multiple tasks effectively.
JP Morgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
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