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Channel & Client Insights Analyst
Bank of America. Analyze client, household, transaction, and interaction data to identify patterns, needs, and opportunities .
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Analyze client, household, transaction, and interaction data to identify patterns, needs, and opportunities
- Examine client behaviors, journeys, relationships, and channel usage across touchpoints
- 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, documentation, 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, 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
- 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
- Experience in financial services, consumer banking, client insights, channel insights, marketing analytics, or strategy
- Experience analyzing client behaviors, journeys, segmentation, audiences, channel usage, servicing interactions, acquisition, retention, or relationship deepening
- Working knowledge of statistical modeling, machine learning, experimental design, time-series analysis, cohort analysis, and measurement approaches
- Advanced degree in mathematics, statistics, economics, data science, or another related field
Benefits
Comp & perks- Annual discretionary incentive plan eligibility
- Industry-leading benefits
- Paid time off
- Resources and support for employees
- In-office culture with role-specific flexibility
- Opportunities to learn, grow, and build a career