DESCRIPTION:

Duties: Design, develop, optimize, and execute scalable analytic approaches and methodologies to deliver holistic omni-channel customer acquisition journey and experience analytics to query, join, transform, segment, and analyze large JPMC datasets. Using datasets to conduct customer experience and acquisition analysis, including transactional datasets that include customer account opening data and money movement data, operational datasets that contain servicing and system performance events, and attitudinal datasets that contain customer verbatims, sentiment, and ratings. Construct, build, and develop new and influential customer experience and acquisition metrics to detect customer friction such as channel fallout and switch rates to assisted channels, repeated visits, repeated calls, high click counts, and high transfer counts by using programming tools to extract data from Digital Clickstream and Customer Journey platforms in combination with transactional, operational, and attitudinal datasets to identify high-friction customer journeys and acquisition barriers that will be used for prioritization among Line of Business and Product partners. Perform data mining and analytical techniques to identify co-product utilization within a specified time period, statistical analysis, regression, and odds ratio to identify meaningful opportunities to reduce friction, improve acquisition rates, and enhance business outcomes. Perform A/B testing to assess impact of change, product utilization, and behavioral segmentation to identify friction unique to specific customer segments. Implement customer journey analytics methodology to track customer interactions across channels and touchpoints, focusing on both retention and acquisition strategies. Leverage a combination of data visualization and data analysis techniques to identify key pain points and opportunities to positively impact customer acquisition and engagement experience and drive the generation of incremental accounts every month. Facilitate conversations and work collaboratively with Marketing, Product, Strategy, Design, Tech, and Customer Experience stakeholders across Lines of Business to translate customer insights into product design and marketing strategies, Enhancing JPMC's ability to boost customer satisfaction, retention, acquisition, and business outcomes. Utilize efficient coding practices to minimize CPU utilization when processing data to minimize cycle time and cost of queries.

QUALIFICATIONS:

Minimum education and experience required: Bachelor's degree in Statistics, Computer Science, Mathematics, Data Science, Data Analytics, or related field of study plus 3 years of experience in the job offered or as Quant Analytics, Data Analyst, Risk Operations Analyst, Data Consultant, Risk Operations Consultant, or related occupation.

Skills Required: This position requires experience with the following: Performing data manipulation, structuring and implementing customer acquisition and journey analytics methodology to track customer interactions across channels and touchpoints using SQL and Python to identify underserved customer segments and customer friction points; Performing joins across multiple disparate tables, integrating data from diverse sources, including transactional, operational, behavioral, and attitudinal datasets by building fact, dimension, snapshot and lookup tables using SQL in Snowflake and Teradata; Conducting omnichannel analytics by analyzing customer channel switching, customer abandonment points, click rates, user segmentation, behavioral co-horting, submission rates, user intent, and engagement metrics using SQL, Python, Tableau and Adobe Analytics; Conducting statistical modeling and hypothesis testing to deliver critical, insights-driven analysis to prioritize Customer Acquisition and experience initiatives.

Job Location: 450 W 33rd St, New York, NY 10001.

Full-Time. Salary range: $133,800.00-$150,000.00 per year.