Channel & Client Insights Analyst

Bank of America; Boston (MA); On-site; USD 110,000 - 160,000; Full time

Job summary

Bank of America is seeking an analytically minded professional to turn complex data into actionable insights that shape business decisions. You will work within the AMI organization to analyze client and channel data, develop segments, and translate findings into strategic recommendations.

The role emphasizes quantitative methods, storytelling, and collaboration with business, strategy, data, technology, and risk teams to deliver decision-relevant work.

Qualifications

• Experience performing quantitative analysis using large, complex, or multi-source data sets.
• Ability to structure ambiguous business questions, select an analytical approach, validate results, and develop practical recommendations.
• Crisp written and verbal communication skills for varied audiences.

Responsibilities

• Develop Client and Channel Insights from data to inform business strategy and improve client experiences.
• Understand client behaviors and journeys across touchpoints.
• Create segments and audiences to support targeted business decisions.
• Apply advanced analytics to evaluate trends, relationships, cohorts, and performance.
• Assess channel experiences across multiple channels to simplify service and engagement.

Skills

Innovative thinker

Self-starter

Quantitative analysis

SQL

Python

R

SAS

Data storytelling

Communication

Attention to detail

Independent work

Cross-functional collaboration

Education

Bachelor’s degree in a quantitative field

Tools

SQL

Python

R

SAS

Job description

Job Description

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Job Description

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

The Analytics, Modeling & Insights (AMI) organization is on a mission to deliver significant value, create lasting impact, and influence the future of the Enterprise through trusted, objective insights, thoughtful experimentation, and next-level innovation. Our vision is to power responsible growth with insight, foresight, and clarity by demonstrating the principles that shape how we work: Objective: Maintain an unbiased lens to inform sound decisions grounded in data. Innovative: Embrace emerging technologies and methods to continuously amplify our capabilities. Strategic: Apply enterprise-wide data and deep expertise to anticipate needs and guide sustainable decisions. Collaborative: Partner across disciplines to deliver insights aligned with stakeholder needs. Effective Storytelling: Translate complex data into clear, compelling narratives that drive action. Efficient: Optimize tools and processes for timely, consistent, and scalable impact.

• Objective: Maintain an unbiased lens to inform sound decisions grounded in data.
• Innovative: Embrace emerging technologies and methods to continuously amplify our capabilities.
• Strategic: Apply enterprise-wide data and deep expertise to anticipate needs and guide sustainable decisions.
• Collaborative: Partner across disciplines to deliver insights aligned with stakeholder needs.
• Effective Storytelling: Translate complex data into clear, compelling narratives that drive action.
• Efficient: Optimize tools and processes for timely, consistent, and scalable impact.

AMI is looking for an intellectually curious, business-minded analyst who wants to turn complex data into insights that shape what comes next. As part of the Channel and Consumer Client Insights team, you will apply quantitative analysis to deepen understanding of consumer clients, their behaviors, journeys, and interactions across channels. Your work may span client segmentation and profiling, audience development, advanced behavioral analytics, and insights from financial centers, ATMs, contact centers, IVR, chat, and digital experiences. You will uncover meaningful patterns and translate them into strategies that improve client experiences and business outcomes.

This is an opportunity to work at the intersection of data, strategy, and human behavior. You will tackle high-visibility questions, explore complex and varied data, and create clear recommendations for leaders across the organization. The strongest candidates will pair hands‑on analytical skill with curiosity, creativity, and a talent for making complex findings meaningful.

Responsibilities

• Developing Client and Channel Insights: Analyze client, household, transaction, and interaction data to identify patterns, needs, and opportunities that inform business strategy and improve client experiences.
• Understanding Behaviors and Journeys: Examine how clients engage over time and across touchpoints to deepen understanding of behaviors, journeys, relationships, and channel usage.
• Creating Segments and Audiences: Develop client profiles, segments, and actionable audiences that illuminate meaningful differences and support targeted business decisions.
• Applying Advanced Analytics: Use appropriate statistical, behavioral, and quantitative techniques to evaluate trends, relationships, cohorts, and performance.
• Assessing Channel Experiences: Generate insights across financial centers, ATMs, contact centers, IVR, chat, and digital experiences to identify opportunities to simplify service and improve how clients engage.
• Advancing Analytic Methods: Improve approaches for organizing, classifying, and interpreting client and interaction data to increase the quality and usefulness of insights.
• Creating Reusable Analytics: Build reproducible data sets, code, methodologies, and documentation that can scale into reusable analytic assets and data products.
• Delivering Compelling Stories: Translate complex analysis into concise, executive‑ready narratives, visualizations, and recommendations that drive action.
• Partnering Across the Enterprise: Work with business, strategy, data, technology, risk, and analytics partners to clarify objectives and deliver timely, decision‑relevant work.
• Managing Work Responsibly: Lead assignments from intake through delivery while maintaining quality, documentation, and applicable data, privacy, risk, and analytic standards.

Required Skills

• Demonstrated experience as an innovative thinker, self‑starter, and creative problem solver who is intellectually curious and willing to challenge the status quo.
• Experience performing quantitative analysis using large, complex, or multi‑source data sets.
• Technical and analytical aptitude to perform data analysis, trending, segmentation, behavioral analysis, and other 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 an appropriate analytical approach, validate results, and develop practical recommendations.
• Crisp written and verbal communication skills, including the ability to explain complex concepts and develop compelling presentations for varied audiences.
• Strong attention to detail, ability to manage competing priorities, and effectiveness working 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 Skills

• 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.

Shift

1st shift (United States of America)

Hours Per Week

40