Client Quantitative Analyst I - Data Reporting and Operations Management

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 impacting 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! Line of Business Job Description This job is responsible for supporting analytical work efforts for various projects within a line of business or business discipline. Key responsibilities include leveraging databases to acquire client and performance data, transforming extracted data into meaningful insights and trends, and delivering those insights to leaders to make complex business decisions. The successful candidate will be responsible for maximizing the value of our product and tech delivery as an individual contributor, overseeing development projects and tools which support various functions across Global Operations. Responsibilities Supports the extraction of data using programming languages such as SQL, SAS, Python, or Spark/Scala, and applies knowledge of relational and non‑relational database systems housed on both on‑premise and off‑premise (hybrid) platforms. Connects provisioned data across multiple sources and performs necessary transformations utilizing both technical, business, and process knowledge to turn data into meaningful values and insights. Performs quantitative techniques and analysis on customer, transaction, and performance data with the guidance from other analysts and supervisors, based on questions provided by business partners, and provides actionable insights for business partners to make informed decisions. Follows requirements developed by other analysts and supervisors to perform research, analytics, and exploration on appropriate and accurate data sources to provide appropriate deliverables. Communicates complex subjects in a simple and engaging manner to non‑technical and technical business partners using software such as Power Point, Word, Excel, and Tableau. Assists with conducting quality comparison checks on analysis output and escalates data inconsistencies, gaps, or issues to leadership. Follows quality workflow process and documentation requirements to adhere to standards and provide business continuity. Required Qualifications Ability to use data tools and techniques to find and deliver data from various sources of record. Proven communication skills in describing complex data to inform strategic insights and decisions. Bachelor’s Degree or higher in finance, math/statistics, computer science, or another quantitative field (e.g., engineering, operations management) or equivalent experience. Coursework in finance, math/statistics, and/or computer science. 4+ years of experience in Program Management, Project Management, Product Management, Business Analysis, or a related field. Experience managing intake processes, project portfolios, and cross‑functional initiatives from initiation through deployment. Strong understanding of Software Development Lifecycle (SDLC), project governance, risk management, and change management practices. Proven ability to gather requirements, facilitate stakeholder discussions, and translate business needs into actionable solutions. Experience supporting reporting, analytics, automation, or technology‑driven initiatives. Strong analytical, problem‑solving, organizational, and decision‑making skills. Experience coordinating User Acceptance Testing (UAT), deployment activities, and implementation efforts. Excellent verbal and written communication skills, including executive‑level presentations and status reporting. Ability to manage multiple priorities, work independently, and drive projects to successful completion. Proficiency with Microsoft Office applications including Excel, PowerPoint, Word, Teams, and SharePoint. Desired Qualifications Master’s Degree or higher in finance, math/statistics, computer science, or another quantitative field (e.g., engineering, operations management). Experience supporting reporting, business intelligence, data analytics, or automation solutions. Familiarity with SQL and the ability to interpret technical documentation, workflows, and process maps. Knowledge of reporting and visualization tools such as Power BI, Tableau, or similar platforms. Knowledge of data integration and automation tools such as Alteryx, Power Query, or related technologies. Strong ability to influence stakeholders and drive outcomes without direct authority. Experience working with geographically dispersed teams and cross‑functional business partners. Strong meeting facilitation, documentation, and stakeholder management skills. Knowledge of data governance, operational controls, and process improvement methodologies. Continuous improvement mindset with a focus on operational excellence and client satisfaction. Experience in financial services, operations, or enterprise‑scale technology environments. Skills Business Analytics Data Mining Data and Trend Analysis Analytical Thinking Business Intelligence Data Quality Management Data Visualization Application Development Business Acumen Continuous Improvement Innovative Thinking Quality Assurance Internal employees who are currently working from home are still eligible to apply. However, if selected for the role, you may be required to work onsite in accordance with the workplace excellence policy. Shift: 1st shift (United States of America) Hours Per Week: 40 #J-18808-Ljbffr