Client Quantitative Analyst I

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! 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. Job expectations include working with business partners to understand, coordinate, and deliver agreed upon priorities while communicating complex data outputs and delivering the appropriate summary and data required. This role is responsible for supporting analytical initiatives across a variety of projects within a Line of Business or business discipline. Key responsibilities include leveraging databases and analytical tools such as SAS, JavaScript, Alteryx, Python, SQL, Tableau and Power BI to extract, analyze, and transform data into actionable insights, trends, and recommendations. The position partners closely with business stakeholders to understand priorities, coordinate deliverables, and ensure the successful execution of agreed-upon objectives. Responsibilities also include communicating complex analytical findings in a clear and concise manner, developing meaningful reporting and visualizations, and providing data-driven insights that enable leaders to make informed business decisions. Successful candidates are expected to effectively summarize complex data, translate technical results into business context, and deliver high-quality analytical solutions that support strategic and operational goals. Responsibilities: The Business Analytics and Reporting Team within Data, Reporting & Operations Management (DROM) is seeking an experienced Data Analyst and Developer to support the design, development, automation, and maintenance of reporting and dashboard solutions. This role partners closely with the Business Analytics & Enablement team to deliver high-quality analytical products while ensuring adherence to business, team, and enterprise reporting, governance, and data management standards. The team is committed to developing scalable, automated solutions that address immediate business needs while aligning with long-term strategic objectives. This position is responsible for transforming complex data into actionable insights, identifying potential risks, and supporting the development of mitigation strategies to drive informed decision-making. Key Responsibilities: • Extract, integrate, and analyze data using programming languages and tools such as SAS, JavaScript, Alteryx, Python, SQL, Tableau and Power BI, leveraging both relational and non-relational database technologies across on-premises and cloud-based environments. • Connect and consolidate data from multiple sources, applying technical expertise, business knowledge, and process understanding to transform raw data into meaningful metrics, insights, and business intelligence solutions. • Perform quantitative analysis on customer, transactional, operational, and performance data to identify trends, opportunities, risks, and actionable recommendations that support business decision-making. • Partner with business stakeholders, analysts, and leadership to understand reporting requirements, conduct research, and deliver accurate and meaningful analytical solutions. • Communicate complex analytical findings in a clear, concise, and engaging manner to both technical and non-technical audiences through presentations, reports, dashboards, and data visualizations. • Develop, maintain, and enhance reporting and dashboard solutions that provide timely, accurate, and actionable insights to support strategic and operational objectives. • Conduct data validation, quality assurance, and reconciliation activities to ensure the accuracy, consistency, and integrity of analytical outputs; identify and escalate data issues, inconsistencies, or gaps as appropriate. • Support the identification, assessment, and monitoring of data and reporting risks, helping to develop effective mitigation strategies and controls. • Adhere to established development, governance, documentation, and quality assurance standards to ensure business continuity, regulatory compliance, and operational excellence. • Contributes to the continuous improvement of reporting processes, automation capabilities, and analytical methodologies to increase efficiency, scalability, and overall business value. Responsibilities: Supports the extraction of data using a variety of a 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 transform 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 required 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 communications skills in describing complex data to inform strategic insights and decisions Bachelor’s Degree or higher in finance, math/statistics, computer scienceor another quantitative field (for example, engineering, operations management) Coursework in finance, math/statistics and/or computer science Desired Qualifications: Master’s Degree or higher in finance, math/statistics, computer scienceor another quantitative field (for example, engineering, operations management) 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 Required Skills: • Minimum 1year experience as Data Analyst or Process/ Project Management or similar role in financial services industry • Effectively collaborate with team members, customers, and subject matter experts to clarify requirements and complete user acceptance testing • Talent for combining business acumen with analytical skills, interpret large amounts of data, synthesize multiple analysis into a coherent message and translate into actionable insights • Ability to manage multiple priorities and meet project delivery dates • Comfortably communicate (oral and written) with team members and customers to influence outcomes • Proficient in independent work and team projects, executing on-time and with precision • Create, review, and monitor requirement documents needed to support repeatability, business continuity, governance and audit requirements • Stay current with the latest developments in Bank of America approved software and applications • Strong technical knowledge of reporting and analytics tools, including: o JavaScript o Tableau o PowerShell o SQL o Alteryx o Python o PowerQuery o VBA o PySpark o SharePoint On-prism/SharePoint Online Soft Skills: • Analytical Thinking • Business Analytics • Business Intelligence • Collaboration • Critical Thinking • Data and Trend Analysis Desired Skills: • Knowledge of agile methodology • Business understanding of Global Operations • Bachelors in Analytics, Data Science, Computer Science or equivalent experience Shift: 1st shift (United States of America) Hours Per Week: 40 Bank of America is committed to help employees through the transition period when they’re displaced as a result of a workforce reduction, realignment or similar measure. Please review the resume writing and interviewing tips provided below to help prepare you for your next career opportunity. Getting started Regardless of the position you are interested in, the starting points to building your resume are the same: 1. Determine the job or types of jobs you want to do and research their responsibilities and qualifications. 2. Think about why you can do the job and make a list of your skills that are relative to the job. 3. Identify experiences or accomplishments that show your proficiency in the skills required for the job. 4. Summarize your abilities, accomplishments and skills into a brief, concise document. Considerations when writing a resume • Do be brief. Resumes should be 1-2 pages in length. • Do be upbeat and active in your wording. • Do emphasize what you have done clearly and concretely. • Do be neat and well organized. • Do have others proofread and critique your resume. Spell check. Make it error free. • Do use high quality, white or light colored 8½ x 11 paper. Use a laser printer if possible. • Don't be dishonest, always tell the truth about yourself in the most flattering light. • Don't include salary history or requirements. • Don't include references. • Don't include accomplishments that do not support your professional goals. • Don't include anything that isn't relevant. (For example, don't mention your fondness for swimming unless you want to work on the water.) • Don't use italics, underlining, shadows or other fancy treatments. Seven steps to a successful interview 1. Anticipate –Put yourself in the interviewer's position. What do you believe the interviewer is most interested in? Why do you think you have been invited to interview? 2. Research –What are the primary functions of the line of business? What are the success factors for the job? Is there a job description available? 3. Assess –Think about your skills, abilities, knowledge, interests, traits, values and accomplishments. Match them to what you know about the job. Consider which ones you should highlight. 4. Prepare Answers –Think about what the interviewer may ask, determine what the best answer is and write it down. 5. Prepare Questions – Interviewing is a two-way street. By asking thoughtful questions, you communicate your interest and learn a lot about the job. Choose two or three questions to ask your interviewer. Avoid asking a lot of questions about vacation time or breaks. 6. Practice – It may seem awkward, but it is the best way to come across well in an interview. Practice your own "great responses" with others or in front of a mirror until you appear relaxed and at ease. 7. Follow-up – Send a brief follow-up letter to the interviewer. Keep in mind that the many job searchers will not send a follow-up letter. Sending one can become a competitive advantage. 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