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Client Quantitative Analyst I - job 1 of 3

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.The Operations Data Control (ODC) team provides support to various Global Operations LOBS by providing data analysis in order to detect data anomalies. Our goal is to provide an automated-alert, data-anomaly, detection system. This system will utilize various data storage technologies across the bank, perform statistical analysis techniques on subject data, and deliver reports and alerts through BI and email to subject matter experts for potential remediation.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 continuityRequired Skills:• Must have 4+ years of Tableau report development• Must have 4+ years of SQL coding/reporting•Excellent analytical and verbal/written communication skills•Strong presentational skills and ability to communicate complex ideas and theories•Ability to multi-task, prioritize and manage time to strict deadlines (i.e. can demonstrate effective time and workflow management skills)•Works collaboratively in a cross-functional team, learns from colleagues, and provides routine updates on calls related to projects.•Strong attention to detail, problem solving, strategic thinking, and analytical skills.Desired Skills:• Deep understanding on automation; Autosys, Alteryx, etc.•Strong problem solving, conceptual thinking, attention to detail, and sense of urgency.•Ability to manage through ambiguity and agile to process change.•Self-starting, organized, proactive, and requiring minimal management oversight.•Time management, analytical and organizational skills.•Working knowledge of software version control systems such as BIT/GIT BucketSkills:• 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 AssuranceShift:1st shift (United States of America)Hours Per Week:40
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What You Should Know About Client Quantitative Analyst I, Bank of America

Join Bank of America as a Client Quantitative Analyst I in Newark, NJ, where your analytical skills will shine and contribute to our commitment to making financial lives better. In this role, you'll become an integral part of our Operations Data Control (ODC) team, focusing on supporting various line of business projects through detailed data analysis and insights. Your day-to-day responsibilities will involve extracting client and performance data from multiple sources, utilizing programming languages such as SQL, SAS, or Python to transform data into meaningful trends and reports. You'll collaborate closely with business partners to ensure that you're aligned on priorities, delivering complex data outputs in a straightforward, engaging manner, making it easier for leaders to make informed business decisions. With a focus on data anomaly detection, your role will also include performing quality checks on analysis outputs, ensuring the accuracy and relevancy of the data provided. This is a fantastic opportunity for professionals looking to grow their careers in data analytics within a dynamic and inclusive environment. At Bank of America, we prioritize not only your professional development but the holistic wellbeing of our teammates, ensuring you can thrive in your career. We invite you to explore this opportunity where you can make a meaningful impact!

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

As a Client Quantitative Analyst I at Bank of America, your primary responsibilities include supporting analytical work for various business projects, extracting and transforming data using programming languages like SQL and SAS, and delivering actionable insights to business partners. You'll communicate complex findings in accessible ways and ensure data accuracy through quality checks.

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What skills are necessary for a successful Client Quantitative Analyst I at Bank of America?

To be a successful Client Quantitative Analyst I at Bank of America, you should have a solid background in Tableau report development and SQL coding, alongside excellent analytical, communication, and presentation skills. A strong attention to detail, problem-solving aptitude, and the ability to manage multiple projects simultaneously are also crucial for this role.

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What programming languages should a Client Quantitative Analyst I at Bank of America be proficient in?

A Client Quantitative Analyst I at Bank of America should be proficient in programming languages such as SQL, SAS, Python, or Spark/Scala, as these are essential for data extraction, transformation, and analysis within the role. Knowledge of relational and non-relational database systems is also beneficial.

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How does the Client Quantitative Analyst I role contribute to data-driven decision-making at Bank of America?

The Client Quantitative Analyst I role at Bank of America plays a key part in data-driven decision-making by transforming raw data into meaningful insights that guide business strategies. By analyzing performance data and detecting anomalies, you'll provide recommendations that support informed decisions by the leadership team.

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What is the work environment like for a Client Quantitative Analyst I at Bank of America?

The work environment for a Client Quantitative Analyst I at Bank of America is collaborative and dynamic, with a strong emphasis on inclusivity and professional growth. You'll work with cross-functional teams, learn from experienced analysts, and be encouraged to share insights that improve processes and outcomes.

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Common Interview Questions for Client Quantitative Analyst I
Can you explain your experience with SQL and how you've utilized it in previous analytical roles?

In responding to this question, it's essential to highlight specific projects where you used SQL to extract, manipulate, and analyze data. Discuss the complexity of the datasets you worked with and any transformative insights you derived that impacted decision-making or operational processes.

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How do you approach data visualization, and which tools do you prefer?

Share your favorite data visualization tools, such as Tableau, and give examples of how you've used them to present data insights clearly and effectively in past roles. Emphasizing your ability to tailor visualizations to the audience can demonstrate your communication skills.

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Describe a time when you detected a data anomaly and how you addressed it.

Detail a specific instance where you identified a data inconsistency, the methods you employed to investigate the issue, and the steps taken to resolve it. Highlight any collaboration with other teams and the eventual outcomes to showcase problem-solving abilities.

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How do you prioritize multiple tasks and projects simultaneously?

Explain your time management strategies, such as using to-do lists, setting deadlines, or prioritizing tasks based on urgency and impact. Discuss any tools or methods you’ve found particularly effective in supporting your workflow management.

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Why do you want to work as a Client Quantitative Analyst I at Bank of America?

Express your passion for data analytics and finance, along with your admiration for Bank of America's commitment to community impact and employee wellness. Mention how the role aligns with your professional goals and how you see yourself contributing to the company’s success.

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How do you ensure data accuracy in your analyses?

Talk about your standard procedures for checking data quality, such as performing validation checks, cross-referencing datasets, or using statistical tools to identify any discrepancies. Emphasize the importance of data integrity in decision-making.

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Can you give an example of a complex analytical problem you solved?

When answering this question, highlight a specific analytical challenge you faced, the methodologies you used to tackle it, and the results you achieved. Discussing collaborative efforts can also illustrate your team-oriented approach.

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What experience do you have with programming languages like Python or Spark/Scala?

Share specific projects or tasks where you used Python or Spark/Scala, detailing what you built or improved through your programming skills. Discuss any libraries or frameworks you used to enhance your analyses.

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How do you stay current with data analysis trends and technologies?

Discuss how you keep abreast of industry developments, such as following relevant online publications, participating in webinars, or engaging with professional communities. Emphasising continuous learning is important in this fast-evolving field.

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How do you handle feedback on your analyses or presentations?

Express an open-minded and constructive attitude towards feedback, explaining how you view it as an opportunity for growth. Provide examples of how you’ve used feedback to improve your work in previous roles.

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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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