Client Quantitative Senior Analyst

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 is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. 

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. 

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! 

This job is responsible for leading analytical work efforts for projects within the consumer and small business product space. Key responsibilities include leveraging databases to acquire client, product, and performance data; transforming data into meaningful insights and trends; and delivering recommendations that support business and product decisions. Job expectations include partnering with marketing, product, and technology teams to translate questions into analytical approaches, define and monitor key performance indicators, evaluate product adoption and outcomes, and communicate complex findings clearly to technical and non-technical audiences. 

Responsibilities 

• Sources, integrates, and transforms data across relational and non-relational platforms using SQL, Python, Spark/Scala, SAS, and other analytical tools to create meaningful measures, insights, and reusable analytical outputs.
• Translates business and product questions into analytical frameworks and applies quantitative, segmentation, behavioral, and test-and-learn techniques to develop actionable recommendations.
• Evaluates product performance and customer journeys by defining and monitoring metrics related to adoption, usage, engagement, retention, attrition, customer outcomes, and business impact.
• Partners across product, marketing, technology, data product management, governance, and business teams to clarify requirements, align priorities, support data product adoption, and deliver agreed outcomes.
• Communicates complex analytical findings to technical, non-technical, and senior audiences through clear data storytelling, visualizations, and actionable recommendations using tools such as PowerPoint, Word, Excel, and Tableau.
• Validates data and analytical outputs, resolves or escalates inconsistencies, and follows documentation, control, governance, and business-continuity requirements to support trusted data and consistent metrics.
• Leads complex analytical initiatives, manages competing priorities to achieve outcomes, and supports the development of people and team capabilities.

Skills 

• Application Development 

• Business Analytics 

• Product Analytics 

• Data and Trend Analysis 

• Data Mining 

• Data Visualization 

• Business Intelligence 

• Data Quality Management 

• Quality Assurance 

• Technical Troubleshooting 

• Analytical Thinking 

• Business Acumen 

• Innovative Thinking 

• Continuous Improvement 

• Collaboration 

• Presentation Skills 

Desired Qualifications 

• Ability to source, integrate, transform, and validate data from multiple systems of record using modern data tools and techniques. 

• Experience in product analytics, customer analytics, marketing analytics, portfolio analytics, or business performance analytics. 

• Experience evaluating product performance, customer engagement, customer journeys, and business outcomes, including adoption, usage, retention, and attrition. 

• Ability to define and track key performance indicators, develop practical measurement frameworks, and assess business impact. 

• Working knowledge of advanced analytical techniques, including segmentation, behavioral analytics, statistical modeling, predictive analytics, and test-and-learn methods. 

• Proven ability to translate complex analytical findings into clear, actionable insights and recommendations for stakeholders with varying levels of analytical fluency. 

• 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 business intelligence platforms such as Tableau, MicroStrategy, and ThoughtSpot. 

• Ability to use AI-powered tools such as Microsoft Copilot Chat and GitHub Copilot to accelerate analysis, insight development, and operational efficiency while following applicable controls and standards. 

• Ability to collaborate across product, marketing, technology, data, and governance teams to align on requirements, milestones, and shared outcomes. 

• Ability to adapt quickly, learn new technologies, and apply emerging analytical techniques appropriately. 

Minimum Education Requirement 

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. 

Shift:

1st shift (United States of America)

Hours Per Week: 

40