Client Quantitative Analyst I
for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. The posting includes a lot of description, responsibilities, required qualifications, desired qualifications, skills, shift/hours. No explicit Benefits, Pay, Schedule beyond shift/hours. The shift/hours could be considered Schedule? The instruction: include Schedule section only if posting actually states them. It says "Shift: 1st shift (United States of America) Hours Per Week: 40". That's schedule info. So we can include a Schedule section with that info. Benefits: none mentioned. Pay: none. So we omit Benefits and Pay.
We need to not repeat job title as heading. The job title is not given explicitly but we can ignore.
We need to use for section headings. Use - for any list of duties/requirements/benefits, and
for prose.
We need to preserve all substantive information, not invent or summarize away detail. Remove boilerplate etc.
We need to decide sections: About the role (maybe the introductory paragraph about Bank of America purpose). That seems like generic description but it's substantive. Could be "About the role" or maybe "About the role" is appropriate. The instruction: use headings e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we can include About the role, Responsibilities, Requirements (maybe Required Qualifications), Qualifications (maybe Desired Qualifications?), Skills, Schedule.
We need to avoid duplicate content. The posting has two similar responsibility sections (one under "Job Description:" and another under "Line of Business Description:"), but they are similar. We need to preserve all substantive information, but we can combine? The instruction: preserve ALL substantive information; do NOT invent or summarize away detail. If we combine, we might lose some nuance. But we could keep both as separate lists? However they'd be duplicate-ish. Might be okay to keep both but could be considered duplication. The instruction says remove duplicated lines. So we should deduplicate. We'll need to merge similar responsibilities into a single list without losing unique points. Let's extract responsibilities from both sections.
First responsibilities block (under "Job Description:" after "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
Second responsibilities block (under "Line of Business Description:" after "Responsibilities"):
- Supports analytical projects by researching data sources, executing established methodologies, and delivering results according to defined requirements and timelines.
- Extracts, prepares, validates, and manages data using analytical tools and programming languages such as SQL, SAS, and Python.
- Integrates and transforms data from multiple internal and external sources utilizing technical, business, and process knowledge to create reliable datasets and meaningful business insights.
- Performs quantitative analyses on client, transaction, and performance data to identify trends, answer business questions, and support informed decision-making under the guidance of senior analysts and managers.
- Communicates analytical findings and recommendations effectively to technical and non-technical audiences through presentations, reports, dashboards, and other business communications using tools such as PowerPoint, Word, Excel, and Tableau.
- Performs quality assurance and validation reviews on analytical outputs, identifies data quality issues, and escalates concerns as appropriate.
- Adheres to established governance, documentation, and quality-control standards to support auditability, consistency, business continuity, and regulatory compliance.
We can combine them, removing duplicates. Many points overlap: extraction, transformation, quantitative analysis, communication, quality checks, adherence to standards. We'll create a unified list that captures all unique aspects.
Let's list unique responsibilities:
1. Supports extraction of data using programming languages (SQL, SAS, Python, Spark/Scala) and applies knowledge of relational and non-relational database systems on on-premise and off-premise (hybrid) platforms.
2. Connects provisioned data across multiple sources and performs necessary transformations using technical, business, and process knowledge to transform data into meaningful values and insights.
3. Performs quantitative techniques and analysis on customer, transaction, and performance data with guidance from analysts/supervisors based on business partner questions, providing actionable insights for informed decisions.
4. Follows requirements developed by other analysts/supervisors to perform required research, analytics, and exploration on appropriate and accurate data sources to provide appropriate deliverables.
5. Communicates complex subjects in a simple and engaging manner to non-technical and technical business partners using software such as PowerPoint, Word, Excel, and Tableau.
6. Assists with conducting quality comparison checks on analysis output and escalates data inconsistencies, gaps, or issues to leadership.
7. Follows quality workflow process and documentation requirements to adhere to standards and provide business continuity.
8. Supports analytical projects by researching data sources, executing established methodologies, and delivering results according to defined requirements and timelines.
9. Extracts, prepares, validates, and manages data using analytical tools and programming languages such as SQL, SAS, and Python.
10. Integrates and transforms data from multiple internal and external sources utilizing technical, business, and process knowledge to create reliable datasets and meaningful business insights.
11. Performs quantitative analyses on client, transaction, and performance data to identify trends, answer business questions, and support informed decision-making under the guidance of senior analysts and managers.
12. Communicates analytical findings and recommendations effectively to technical and non-technical audiences through presentations, reports, dashboards, and other business communications using tools such as PowerPoint, Word, Excel, and Tableau.
13. Performs quality assurance and validation reviews on analytical outputs, identifies data quality issues, and escalates concerns as appropriate.
14. Adheres to established governance, documentation, and quality-control standards to support auditability, consistency, business continuity, and regulatory compliance.
We can see many duplicates: 1 vs 9 similar; 2 vs 10 similar; 3 vs 11 similar; 5 vs 12 similar; 6 vs 13 similar; 7 vs 14 similar. Also 4 and 8 similar (requirements/follows requirements vs supporting projects per timelines). We'll need to deduplicate while preserving nuance. Perhaps we can keep a concise list that captures all aspects without repeating.
Let's craft a final responsibilities list:
- Supports extraction of data using programming languages (SQL, SAS, Python, Spark/Scala) and applies knowledge of relational and non-relational database systems on on-premise and off-premise (hybrid) platforms.
- Connects and integrates data from multiple internal and external sources, performing necessary transformations using technical, business, and process knowledge to create reliable datasets and meaningful insights.
- Performs quantitative analysis on customer, transaction, and performance data (with guidance from analysts/supervisors) to identify trends, answer business questions, and provide actionable insights for informed decision-making.
- Follows requirements and timelines set by analysts/supervisors to research data sources, execute methodologies, and deliver results that meet defined specifications.
- Communicates complex analytical findings clearly to both technical and non-technical stakeholders using tools such as PowerPoint, Word, Excel, and Tableau.
- Conducts quality assurance checks, validates outputs, identifies data issues, and escalates inconsistencies or concerns to leadership.
- Adheres to governance, documentation, and quality-control standards to ensure auditability, consistency, business continuity, and regulatory compliance.
That seems to capture all unique points.
Now Required Qualifications list:
- 2+ years of demonstrated experience in analytics, quantitative research, data science, or a related field.
- Experience using analytical and programming tools such as SQL, Python, and AI coding agents.
- Experience extracting, integrating, and manipulating structured and unstructured data from multiple database platforms and data environments, including Hadoop.
- Strong analytical and problem-solving skills with the ability to translate data into actionable business insights.
- Strong written, verbal, and presentation skills, with the ability to clearly communicate complex analytical concepts and findings to both technical and non-technical audiences.
- Ability to collaborate effectively with business partners, analysts, and technology teams in a fast-paced, highly regulated environment.
Desired Qualifications list:
- Bachelor’s Degree or higher in a quantitative, analytical, business, or technical discipline, or equivalent experience applying data, analytics, and quantitative problem-solving skills.
- Knowledge of advanced analytical techniques, including statistical sampling, optimization, machine learning, predictive modeling, artificial intelligence, and related quantitative methods.
- Broad understanding of financial products and experience supporting highly regulated initiatives within a large, complex financial institution.
- Experience gathering, documenting, and communicating business requirements between business stakeholders, technology product owners, and engineering teams.
- Effective prioritization, time management, and project management skills.
- Demonstrates intellectual curiosity and a commitment to continuous learning.
- Brings innovative ideas and diverse perspectives to drive creative problem-solving and business improvement.
- Values diversity and inclusion and fosters a collaborative team environment that supports the needs of clients, employees, and communities.
Skills list (provided as a line): Business Analytics, Data Mining, Data and Trend Analysis, Analytical Thinking, Business Intelligence, Data Quality Management, Data Visualization, Application Development, Business Acumen, Innovative Thinking
We can format as
- each.
Schedule: Shift: 1st shift (United States of America) Hours Per Week: 40
We can put as
or maybe
- but it's not a list; we can use
.
About the role: The introductory paragraph about Bank of America purpose etc. We'll need to capture that as prose.
Let's extract the About the role content: The first paragraph(s) before "Job Description: This job is responsible..." includes:
"Job Description: 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!"
That's a lot of prose. We'll put that in
under About the role.
We must not repeat the job title as heading. We'll not.
We must not include Job ID/requisition numbers
- for any list of duties/requirements/benefits, and
for prose. We need to preserve all substantive information, not invent or summarize away detail. Remove boilerplate etc. We need to decide sections: About the role (maybe the introductory paragraph about Bank of America purpose). That seems like generic description but it's substantive. Could be "About the role" or maybe "About the role" is appropriate. The instruction: use headings e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we can include About the role, Responsibilities, Requirements (maybe Required Qualifications), Qualifications (maybe Desired Qualifications?), Skills, Schedule. We need to avoid duplicate content. The posting has two similar responsibility sections (one under "Job Description:" and another under "Line of Business Description:"), but they are similar. We need to preserve all substantive information, but we can combine? The instruction: preserve ALL substantive information; do NOT invent or summarize away detail. If we combine, we might lose some nuance. But we could keep both as separate lists? However they'd be duplicate-ish. Might be okay to keep both but could be considered duplication. The instruction says remove duplicated lines. So we should deduplicate. We'll need to merge similar responsibilities into a single list without losing unique points. Let's extract responsibilities from both sections. First responsibilities block (under "Job Description:" after "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 Second responsibilities block (under "Line of Business Description:" after "Responsibilities"): - Supports analytical projects by researching data sources, executing established methodologies, and delivering results according to defined requirements and timelines. - Extracts, prepares, validates, and manages data using analytical tools and programming languages such as SQL, SAS, and Python. - Integrates and transforms data from multiple internal and external sources utilizing technical, business, and process knowledge to create reliable datasets and meaningful business insights. - Performs quantitative analyses on client, transaction, and performance data to identify trends, answer business questions, and support informed decision-making under the guidance of senior analysts and managers. - Communicates analytical findings and recommendations effectively to technical and non-technical audiences through presentations, reports, dashboards, and other business communications using tools such as PowerPoint, Word, Excel, and Tableau. - Performs quality assurance and validation reviews on analytical outputs, identifies data quality issues, and escalates concerns as appropriate. - Adheres to established governance, documentation, and quality-control standards to support auditability, consistency, business continuity, and regulatory compliance. We can combine them, removing duplicates. Many points overlap: extraction, transformation, quantitative analysis, communication, quality checks, adherence to standards. We'll create a unified list that captures all unique aspects. Let's list unique responsibilities: 1. Supports extraction of data using programming languages (SQL, SAS, Python, Spark/Scala) and applies knowledge of relational and non-relational database systems on on-premise and off-premise (hybrid) platforms. 2. Connects provisioned data across multiple sources and performs necessary transformations using technical, business, and process knowledge to transform data into meaningful values and insights. 3. Performs quantitative techniques and analysis on customer, transaction, and performance data with guidance from analysts/supervisors based on business partner questions, providing actionable insights for informed decisions. 4. Follows requirements developed by other analysts/supervisors to perform required research, analytics, and exploration on appropriate and accurate data sources to provide appropriate deliverables. 5. Communicates complex subjects in a simple and engaging manner to non-technical and technical business partners using software such as PowerPoint, Word, Excel, and Tableau. 6. Assists with conducting quality comparison checks on analysis output and escalates data inconsistencies, gaps, or issues to leadership. 7. Follows quality workflow process and documentation requirements to adhere to standards and provide business continuity. 8. Supports analytical projects by researching data sources, executing established methodologies, and delivering results according to defined requirements and timelines. 9. Extracts, prepares, validates, and manages data using analytical tools and programming languages such as SQL, SAS, and Python. 10. Integrates and transforms data from multiple internal and external sources utilizing technical, business, and process knowledge to create reliable datasets and meaningful business insights. 11. Performs quantitative analyses on client, transaction, and performance data to identify trends, answer business questions, and support informed decision-making under the guidance of senior analysts and managers. 12. Communicates analytical findings and recommendations effectively to technical and non-technical audiences through presentations, reports, dashboards, and other business communications using tools such as PowerPoint, Word, Excel, and Tableau. 13. Performs quality assurance and validation reviews on analytical outputs, identifies data quality issues, and escalates concerns as appropriate. 14. Adheres to established governance, documentation, and quality-control standards to support auditability, consistency, business continuity, and regulatory compliance. We can see many duplicates: 1 vs 9 similar; 2 vs 10 similar; 3 vs 11 similar; 5 vs 12 similar; 6 vs 13 similar; 7 vs 14 similar. Also 4 and 8 similar (requirements/follows requirements vs supporting projects per timelines). We'll need to deduplicate while preserving nuance. Perhaps we can keep a concise list that captures all aspects without repeating. Let's craft a final responsibilities list: - Supports extraction of data using programming languages (SQL, SAS, Python, Spark/Scala) and applies knowledge of relational and non-relational database systems on on-premise and off-premise (hybrid) platforms. - Connects and integrates data from multiple internal and external sources, performing necessary transformations using technical, business, and process knowledge to create reliable datasets and meaningful insights. - Performs quantitative analysis on customer, transaction, and performance data (with guidance from analysts/supervisors) to identify trends, answer business questions, and provide actionable insights for informed decision-making. - Follows requirements and timelines set by analysts/supervisors to research data sources, execute methodologies, and deliver results that meet defined specifications. - Communicates complex analytical findings clearly to both technical and non-technical stakeholders using tools such as PowerPoint, Word, Excel, and Tableau. - Conducts quality assurance checks, validates outputs, identifies data issues, and escalates inconsistencies or concerns to leadership. - Adheres to governance, documentation, and quality-control standards to ensure auditability, consistency, business continuity, and regulatory compliance. That seems to capture all unique points. Now Required Qualifications list: - 2+ years of demonstrated experience in analytics, quantitative research, data science, or a related field. - Experience using analytical and programming tools such as SQL, Python, and AI coding agents. - Experience extracting, integrating, and manipulating structured and unstructured data from multiple database platforms and data environments, including Hadoop. - Strong analytical and problem-solving skills with the ability to translate data into actionable business insights. - Strong written, verbal, and presentation skills, with the ability to clearly communicate complex analytical concepts and findings to both technical and non-technical audiences. - Ability to collaborate effectively with business partners, analysts, and technology teams in a fast-paced, highly regulated environment. Desired Qualifications list: - Bachelor’s Degree or higher in a quantitative, analytical, business, or technical discipline, or equivalent experience applying data, analytics, and quantitative problem-solving skills. - Knowledge of advanced analytical techniques, including statistical sampling, optimization, machine learning, predictive modeling, artificial intelligence, and related quantitative methods. - Broad understanding of financial products and experience supporting highly regulated initiatives within a large, complex financial institution. - Experience gathering, documenting, and communicating business requirements between business stakeholders, technology product owners, and engineering teams. - Effective prioritization, time management, and project management skills. - Demonstrates intellectual curiosity and a commitment to continuous learning. - Brings innovative ideas and diverse perspectives to drive creative problem-solving and business improvement. - Values diversity and inclusion and fosters a collaborative team environment that supports the needs of clients, employees, and communities. Skills list (provided as a line): Business Analytics, Data Mining, Data and Trend Analysis, Analytical Thinking, Business Intelligence, Data Quality Management, Data Visualization, Application Development, Business Acumen, Innovative Thinking We can format as
- each.
Schedule: Shift: 1st shift (United States of America) Hours Per Week: 40
We can put as
or maybe
- but it's not a list; we can use
. About the role: The introductory paragraph about Bank of America purpose etc. We'll need to capture that as prose. Let's extract the About the role content: The first paragraph(s) before "Job Description: This job is responsible..." includes: "Job Description: 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!" That's a lot of prose. We'll put that in
under About the role. We must not repeat the job title as heading. We'll not. We must not include Job ID/requisition numbers
- but it's not a list; we can use
- each.
Schedule: Shift: 1st shift (United States of America) Hours Per Week: 40
We can put as