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Client Quantitative 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 a diverse and 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.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.As an Insight Strategy Lead analyst, you will play a key role in empowering executive management with actionable insights derived from data analysis. In this position, you will collect, analyze, and interpret data trends to support strategic planning and decision-making within a targeted LOB or in support of a large enterprise project. Examples can include evaluating overall marketing spend effectiveness, product and feature usage, profitability and value, client sentiment and service trends or problem incident tracking, etc. Reporting to senior leadership, you will bridge the gap between complex data and executive strategies, ensuring that business goals align with data-driven insights. You will work closely with key project sponsors and / or initiative owners to ensure that dashboards and measurement plans are in place to empower business users at all levels, and that monitoring is in place on key metrics to identify trends that require investigation. You will curate existing knowledge and identify gaps in knowledge required to make key strategic and initiative decisions, and leverage both 3rd party and internal sources to deliver on uncovered needs.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• Data analysis and trend monitoring leveraging self service tools• Synthesis of both quantitative and qualitative market and client research• Creation of learning plan and oversight/insight on self-service tools, data access and monitoring in support of target LOB/project objectives• Identification of key data elements required to support targeted decision making• Translation of business questions into data, research, automation, and modeling requests to enable technical delivery by key teams• Translation of data and research findings across multiple projects into clear and actionable senior leader insights• Provide strategic input based on market and internal factors to guide changes in strategy, practice, or controls• Work cross functionally across multiple disciplines to ensure capture of all key decision point• Present clear, peer-reviewed findings in a compelling visually appealing way for executive consumptionSkills:• Business Analytics• Data and Trend Analysis• Data Mining• Business Intelligence• Data Quality Management• Data Visualization• Analytical Thinking• Quality Assurance• Application Development• Continuous Improvement• Business Acumen• Innovative ThinkingRequired Qualifications:• Demonstrated analytical and critical thinking skills with a passion for understanding data• Proficiency in usage of data analysis and visualization tools such as Excel, Tableau, MicroStrategy, ThoughtSpot• Strong written and verbal communication skills, with an ability to synthesize complex findings for non-technical audiences• Ability to manage multiple projects, prioritize tasks, and meet deadlinesDesired Qualifications:• MBA or equivalent experience demonstrating strategic business acumen• Experience working in banking, finance, or insurance industry• Experience in project management / large transformation projects• Experience/exposure to market research design and development• Understanding/experience in developing and supporting business cases including payback and value analysisMinimum Education Requirement: Bachelor’s Degree in Business, Economics, Data Science or equivalent work experienceIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.Shift:1st shift (United States of America)Hours Per Week:40
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What You Should Know About Client Quantitative Analyst, Bank of America

At Bank of America, we’re all about making financial lives better, and we’re on the lookout for a Client Quantitative Analyst to join our vibrant team in Waltham, MA. In this exciting role, you’ll leverage your analytical wizardry to support various projects by transforming raw data into valuable insights that drive complex business decisions. Imagine working closely with business partners to delve into client and performance data, utilizing tools like SQL, Python, or Tableau to craft narratives that influence strategic planning and decision-making. You won't just be crunching numbers; you’ll be empowering our executive management with actionable insights derived from the trends you uncover. This means evaluating everything from marketing effectiveness to client sentiment and service trends. You’ll bridge the gap between intricate data outputs and executive strategies, ensuring our goals align with solid data-driven insights. So if you are passionate about data, skilled at communicating complex subjects in a user-friendly way, and eager to make a significant impact in a diverse and inclusive workplace, this is the perfect opportunity for you. Join us at Bank of America, where we not only drive Responsible Growth but also shape the financial future together!

Frequently Asked Questions (FAQs) for Client Quantitative Analyst Role at Bank of America
What are the main responsibilities of a Client Quantitative Analyst at Bank of America?

As a Client Quantitative Analyst at Bank of America, your primary responsibilities will include extracting and analyzing data using programming languages like SQL and Python. You’ll transform data into meaningful insights that support strategic decision-making. Additionally, you'll collaborate with business partners to ensure that project priorities are clearly defined and communicated effectively. Your role is pivotal in conveying complex data outputs in a straightforward way, which aids executive management in making informed business decisions.

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What qualifications are needed for a Client Quantitative Analyst position at Bank of America?

To be considered for the Client Quantitative Analyst position at Bank of America, you’ll need a Bachelor’s Degree in Business, Economics, Data Science, or a related field. Demonstrated analytical and critical thinking skills are essential, along with proficiency in data analysis tools like Excel and Tableau. Strong communication skills are crucial to synthesize complex findings for non-technical audiences. Ideally, having experience in the banking or finance industry will give you an edge.

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What skills are essential for success as a Client Quantitative Analyst at Bank of America?

Success as a Client Quantitative Analyst at Bank of America hinges on several key skills. You should have a strong foundation in business analytics and data visualization techniques. Analytical thinking and a knack for data mining will serve you well, along with the ability to manage multiple projects simultaneously. Additionally, familiarizing yourself with data quality management practices is vital to ensure the accuracy of insights delivered to stakeholders.

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How does the Client Quantitative Analyst role contribute to team projects at Bank of America?

The Client Quantitative Analyst plays a crucial role in team projects at Bank of America by providing data-driven insights that shape strategic decisions. By performing quantitative analysis and collaborating with various business units, you ensure that all key decision points are captured. Your ability to present findings in an engaging visual format is key to informing executive strategies, ultimately helping to drive comprehensive business growth.

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What tools are used by Client Quantitative Analysts at Bank of America?

Client Quantitative Analysts at Bank of America primarily use a variety of data analysis and visualization tools such as SQL, Python, Tableau, and Excel. These platforms aid in extracting, transforming, and analyzing data to derive meaningful insights. Familiarity with business intelligence software like MicroStrategy and ThoughtSpot can further enhance your efficiency in delivering seamless analysis and insights.

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Common Interview Questions for Client Quantitative Analyst
Can you explain your experience with data analysis tools relevant to the Client Quantitative Analyst position?

When answering this question, you should discuss specific tools you have worked with, such as SQL, Tableau, or Excel. Provide examples of projects where you used these tools to extract and analyze data, emphasizing the impact of your findings on business decisions. Mention how you transformed raw data into actionable insights and the key learnings you gained from these experiences.

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How do you ensure data quality in your analyses?

To ensure data quality, it's vital to follow a rigorous workflow process for data management. Discuss your familiarity with quality assurance practices, such as conducting validation checks and investigating inconsistencies. Emphasize your attention to detail and how maintaining high standards directly affects the reliability of the insights you provide to business partners.

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Describe a time when you had to communicate complex data findings to a non-technical audience.

When discussing a scenario like this, focus on your ability to simplify complex information. Share specific techniques you used, such as using impactful visuals or relatable analogies, to help your audience understand the data. Highlight how your communication made it easier for stakeholders to grasp the implications of the data on their strategic decisions.

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What approach do you take when prioritizing multiple projects?

Explain your strategy for prioritizing projects, mentioning tools and methods you use to stay organized, such as project management software or task lists. Discuss how you assess the urgency and impact of each project, ensuring to communicate effectively with stakeholders to align on priorities. Highlight a real-life example where your prioritization led to successful project outcomes.

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What experience do you have in performing quantitative analysis?

Discuss specific quantitative analysis projects you have worked on, highlighting the methodologies you applied and the insights gained. Explain how you utilized quantitative techniques to answer business questions and supported strategic objectives, and include any tools you utilized. This will show your hands-on experience and ability to deliver data-driven insights.

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How would you assess the effectiveness of a marketing strategy using data?

Explain your approach by outlining the data types you would analyze to assess marketing effectiveness, such as client engagement metrics and conversion rates. Discuss how you would leverage data visualization tools to represent findings and identify trends. Finally, mention how this analysis could guide future marketing strategies and decisions.

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Can you provide an example of how you improved a process through data analysis?

When answering this question, describe a specific situation where your data analysis led to a process improvement. Share the problem you identified, the analysis you conducted, and the actionable recommendations you made based on your findings. Emphasize the positive outcomes that resulted from the implemented changes and how they benefited the business.

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What techniques do you use for data visualization?

Discuss various data visualization techniques you are familiar with, such as using dashboards, charts, and infographics. Mention the tools you leverage, like Tableau or Excel, to create engaging visual representations of data. Provide examples of how effective visualization has helped you communicate key insights to stakeholders clearly and compellingly.

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How do you handle feedback on your analyses?

Explain your openness to feedback and seeing it as an opportunity for growth. Share a scenario where you received constructive criticism and how you used that feedback to improve your analyses or presentation style. This shows your willingness to adapt and continuously improve your work, which is an essential trait for a successful Client Quantitative Analyst.

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What makes you passionate about data analysis?

When answering this question, share your genuine interest in uncovering insights through data. Talk about how you enjoy problem-solving and the impact that data-driven decisions can have on a business. Providing a personal story or experience that sparked your passion for data analysis can resonate well with interviewers.

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Bank of America is one of the world’s leading financial institutions, serving individual consumers, small and middle-market businesses and large corporations with a full range of banking, investing, asset management and other financial and risk ma...

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Full-time, on-site
DATE POSTED
April 23, 2025

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