Channel and Client Insights Analyst

Bank of America

. Analyze client, household, transaction, and interaction data to identify patterns, needs, and opportunities .

Posted 9/25/2026full-timeUnited StatesMid-LevelSenior💰 $84,200 - $124,000 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Analyze client, household, transaction, and interaction data to identify patterns, needs, and opportunities
Examine client engagement over time and across touchpoints to understand behaviors, journeys, relationships, and channel usage
Develop client profiles, segments, and actionable audiences
Apply statistical, behavioral, and quantitative techniques to evaluate trends, relationships, cohorts, and performance
Generate insights across financial centers, ATMs, contact centers, IVR, chat, and digital experiences
Improve approaches for organizing, classifying, and interpreting client and interaction data
Build reproducible datasets, code, methodologies, and documentation for reusable analytics and data products
Translate complex analysis into executive-ready narratives, visualizations, and recommendations
Partner with business, strategy, data, technology, risk, and analytics teams
Lead assignments from intake through delivery while maintaining quality, documentation, and applicable data, privacy, risk, and analytic standards

Requirements

What you’ll need

Demonstrated experience as an innovative thinker, self-starter, and creative problem solver
Experience performing quantitative analysis using large, complex, or multi-source data sets
Technical and analytical aptitude in data analysis, trending, segmentation, behavioral analysis, and statistical techniques
Proficiency in SQL and at least one analytical programming language or statistical tool, such as Python, R, SAS, or an equivalent platform
Ability to structure ambiguous business questions, select analytical approaches, validate results, and develop recommendations
Crisp written and verbal communication skills, including explaining complex concepts and developing presentations
Strong attention to detail and ability to manage competing priorities
Ability to work independently and across teams
Bachelor’s degree in statistics, mathematics, economics, finance, data science, computer science, engineering, business analytics, or a related quantitative field, or equivalent relevant experience
Desired: experience in financial services, consumer banking, client insights, channel insights, marketing analytics, or strategy
Desired: experience analyzing client behaviors, journeys, segmentation, audiences, channel usage, servicing interactions, acquisition, retention, or relationship deepening
Desired: working knowledge of statistical modeling, machine learning, experimental design, time-series analysis, cohort analysis, and measurement approaches
Desired: advanced degree in mathematics, statistics, economics, data science, or another related field

Benefits

Comp & perks

Affordable, competitive and flexible benefits
Support for physical, emotional, and financial wellness
Opportunities to learn, grow, and build a career
Paid time off
Resources and support to make an impact
Annual discretionary incentive award based on individual, line of business/group, and company performance