Senior Client Quantitative Analyst

Bank of America

. Source, integrate, and transform data across relational and non-relational platforms using SQL, Python, Spark/Scala, SAS, and other analytical tools .

Posted 9/25/2026full-timeUnited StatesSenior💰 $135,000 - $163,300 per yearWebsite

Tech Stack

Tools & technologies

HadoopOraclePythonScalaSparkSQLTableau

About the role

Key responsibilities & impact

Source, integrate, and transform data across relational and non-relational platforms using SQL, Python, Spark/Scala, SAS, and other analytical tools
Create meaningful measures, insights, and reusable analytical outputs
Translate business and product questions into analytical frameworks
Apply quantitative, segmentation, behavioral, and test-and-learn techniques to develop actionable recommendations
Evaluate product performance and customer journeys by defining and monitoring adoption, usage, engagement, retention, attrition, customer outcomes, and business-impact metrics
Partner with product, marketing, technology, data product management, governance, and business teams
Clarify requirements, align priorities, support data product adoption, and deliver agreed outcomes
Communicate complex analytical findings through data storytelling, visualizations, and recommendations using PowerPoint, Word, Excel, and Tableau
Validate data and analytical outputs and resolve or escalate inconsistencies
Follow documentation, control, governance, and business-continuity requirements
Lead complex analytical initiatives, manage competing priorities, and support development of people and team capabilities

Requirements

What you’ll need

Minimum of bachelor’s degree with strong quantitative background in Marketing, Statistics, Mathematics, Economics, Data Science, Analytics, or a related field, or equivalent work experience
Ability to source, integrate, transform, and validate data from multiple systems of record
Experience in product analytics, customer analytics, marketing analytics, portfolio analytics, or business performance analytics
Experience evaluating product performance, customer engagement, customer journeys, adoption, usage, retention, attrition, and business outcomes
Ability to define and track key performance indicators and assess business impact
Working knowledge of segmentation, behavioral analytics, statistical modeling, predictive analytics, and test-and-learn methods
Ability to translate complex analytical findings into actionable insights and recommendations
Understanding of Consumer and Business Payments ecosystems and Merchant Acquiring solutions
Fluency in Python and SQL
Familiarity with relational and non-relational databases, including Teradata, Oracle, Hadoop, SAS-Grid, and Starburst
Experience with Tableau, MicroStrategy, and ThoughtSpot
Ability to use Microsoft Copilot Chat and GitHub Copilot while following applicable controls and standards
Ability to collaborate across product, marketing, technology, data, and governance teams
Ability to adapt quickly, learn new technologies, and apply emerging analytical techniques

Benefits

Comp & perks

Discretionary incentive eligible; eligible to participate in the annual discretionary plan
Benefits eligible
Access to paid time off
Resources and support to employees
In-office culture with role-specific flexibility