Quantitative Analysis

Quantitative Analysis Data Jobs

5 jobs found

5d ago

Quantitative Data Analyst Summer Analyst Program

Bank of America Atlanta, GA

Atlanta, GA

5d ago

Internship Analyst Analytics Big Data

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Job Description

Responsibilities

Extract, process, and interpret data to inform decision making, with potential involvement in advanced modeling.
Conduct research and analysis of internal and public data to deliver micro views of risk or financial management for a specific business line and a macro view for the organization.
Apply quantitative and analytical skills to financial challenges and projects aligned with your chosen track.
Collaborate on on-the-desk work with your assigned team.
Participate in learning and professional development opportunities, networking and volunteer events, mentorship programs, speaker series, and related activities.
Must select one line of business (Global Risk Management, Chief Financial Officer Group, Enterprise Credit, Consumer & Small Business Banking, Analytics, Modeling & Insights) and be considered for that specific track.

Requirements

Bachelor’s degree or direct-to-Master’s degree from an accredited college or university.
Graduation dates between November 2027 and August 2028.
Major in Math, Statistics, Economics, Data Science, Computer Science, Financial Engineering, or a related field.
Minimum GPA of 3.5 preferred.
Proficiency in Python, SQL, R, C++, MATLAB and/or Java.
Proficiency in data visualization tools such as Tableau, Hadoop and/or PowerBI.

Program and Location Details

Technologies: Python, SQL, R, C++, MATLAB, Java, Tableau, Hadoop, PowerBI

Program ID: 14420

Region: U.S. and Canada

Location: United States of America (onsite) with cities including Atlanta, GA; Charlotte, NC; Chicago, IL; New York, NY

States: GA, IL, NY, NC

City: Atlanta, GA; Charlotte, NC; Chicago, IL; New York, NY

Program: Quantitative Data Analytics Program

Program Type: Summer internship

Entry Level: Analyst

Program Description: The Quantitative Data Analytics Program (QDAP) is a 10-week summer internship designed to develop and coach quantitative and analytical talent. Interns undertake on-the-desk work with assigned teams, tackle challenging projects, and have opportunities for development, networking, and mentorship through events and speaker series.

Application Deadline: November 7, 2026

Travel: On needs basis

Full/Part-Time: Fulltime

Hours per Week: 40.00

Shift: 1st shift

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18d ago

GFR 161 Data Analyst (Part-Time, Non-Benefited) 1 Position

Worcester State University Worcester, MA

Worcester, MA

18d ago

$35 - $35/hr Part time Analyst Analytics Data Analysis

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Job Description

This part-time, non-benefited Data Analyst role supports Worcester State University’s Latino Education Institute on site in Worcester, MA. The position focuses on gathering and analyzing both quantitative and qualitative data, utilizing QuickBase, and producing reports to inform program decisions and funding considerations.

Responsibilities

Maintain the data collection system in alignment with the Program Navigation Guide and LEI data collection tools.
Collaborate with the Executive Director and Program Managers to gather and securely store quantitative and qualitative data using evaluation instruments such as pre and post surveys, questionnaires, interviews, observations, and related methods.
Analyze collected data with QuickBase to produce results, identify trends, and derive insights.
Coordinate with the QuickBase software representative for training and troubleshooting as needed.
Generate program reports that summarize demographics, outputs and outcomes, and trends, including the handling of large datasets and effective visual representations (charts, graphics, tables).
Assist Program Managers in evaluating program results and impact in relation to goals, objectives, and logic models.
Manage historical student data files to monitor performance trends.
Provide staff training and support on data collection, QuickBase input, analysis, and reporting.
Design and implement new data collection tools such as surveys or questionnaires for events or programs aligned with their goals.
Conduct online research to gather reliable data on demographics and Latinx-related social and health trends at local, state, or national levels.
Attend late afternoon and Saturday or summer programs as needed to collect data, with occasional evening events.
Perform other duties as assigned in the Data Analyst role.

Requirements

A minimum of a bachelor’s degree in a social science research field or in statistics and computer science with a strong research component.
1 to 2 years of experience working with diverse populations in data collection, storage, and analysis.
Willingness and ability to work with data collection software, especially QuickBase, and to manage large datasets using QuickBase for collection, storage, and analysis.
Proficiency in Microsoft Office, with particular emphasis on Excel; SPSS experience is a plus.
Strong communication and interpersonal skills, with the ability to convey technical information clearly to non-technical stakeholders.
Effective collaboration with diverse stakeholder groups, including administrators, program managers, educators, and parents.
Adaptability to a fast-paced work environment and the capacity to operate in interdisciplinary, cross-functional, and multicultural settings.
Consistent and dependable attendance.

Technologies

QuickBase
Microsoft Excel
Microsoft Office
SPSS

General Statement of Duties

Under the leadership of the Executive Director and with support from Program Managers, the Data Analyst will collect and analyze quantitative and qualitative data related to the Latino Education Institute's programs using methods such as pre/post surveys, questionnaires, interviews, and observations. The resulting data will support reports to funders and the community, as well as Worcester State University, and will inform program revisions and enhancements.

Preferred Qualifications

Master’s degree in a social science research field.
Valid driver’s license or state ID and access to transportation for outreach activities.
Bilingual proficiency in English and Spanish is preferred.

Additional Information

Worcester State University is an Affirmative Action/Equal Opportunity Employer that seeks to reflect the diversity of its community. This position is part-time, non-benefited, and hourly.

Hourly Rate

Rate: USD 35 per hour

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1mo ago

Health Data Analyst - AI Trainer

DataAnnotation Schenectady, NY 🇺🇸 Remote

Schenectady, NY

1mo ago Closed

$40 - $60/hr Full time Ai Trainer Analyst Analytics

This position is no longer accepting applications (closed Jun 27, 2026).

Job Description

DataAnnotation is seeking a Health Data Analyst - AI Trainer to work remotely, evaluating AI-generated quantitative outputs and crafting training tasks that help benchmark AI systems. This role focuses on quantitative reasoning, problem design, and actionable feedback to guide model development, with a flexible schedule to support research and iteration. Based in Schenady, NY, you will collaborate with data science teams to shape AI systems that reason about data and analytics.

Responsibilities

Assess AI-generated quantitative work for technical accuracy and real world validity, covering statistical analysis, predictive modeling, scientific reasoning, and data-driven insights.
Design and solve quantitative problems used to train and benchmark AI systems, spanning forecasting, experimental analysis, optimization, and statistical inference.
Produce clear technical explanations and well-documented analytical code.
Provide feedback that informs the next generation of AI models built for quantitative reasoning.

Requirements

Two or more years of hands-on experience in a quantitative role or research setting, such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or related fields.
Some coding experience, comfortable writing and reviewing analytical code end-to-end.
Practical knowledge of statistical methods, predictive modeling, and experiment design including A/B testing, hypothesis testing, regression, classification, and time-series forecasting.
Fluent English with strong writing skills.
Bachelor’s degree in a quantitative field is preferred; a master’s degree or PhD is a plus.
Relevant credentials are a plus (for example, Kaggle competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose projects and set your own workflow.
Competitive pay: hourly compensation up to $60 USD, with opportunities for higher pay on strong performance.
Impact: contribute to shaping AI systems designed to reason about data and analytics.

Note

Payment is issued via PayPal. We will never ask for money from applicants. This position is available to residents of the US, Canada, UK, Ireland, Australia, and New Zealand.

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1mo ago

Health Data Analyst - AI Trainer

DataAnnotation Louisville, KY 🇺🇸 Remote

Louisville, KY

1mo ago Closed

$40 - $60/hr Full time Analyst Analytics Artificial Intelligence

This position is no longer accepting applications (closed Jun 23, 2026).

Job Description

DataAnnotation is seeking a Health Data Analyst - AI Trainer to help advance AI systems that interpret health data and produce reliable quantitative insights. This remote role, based in Louisville, Kentucky, centers on evaluating AI-generated quantitative analyses, designing training and benchmarking tasks, and delivering precise feedback to improve AI models' quantitative reasoning.

Responsibilities

Evaluate AI-generated quantitative work for technical accuracy and real-world validity across statistical analysis, predictive modeling, scientific reasoning, and data-driven insights.
Design and solve quantitative problems used to train and benchmark AI systems, covering forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and well-documented analytical code.
Provide feedback that shapes the next generation of AI models built for quantitative reasoning.

Requirements

At least 2 years of hands-on experience in a quantitative role or research environment, such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or related fields.
Some coding experience with comfort in writing and reviewing analytical code end to end.
Practical experience with statistical methods, predictive modeling, and experiment design including A/B testing, hypothesis testing, regression, classification, and time-series forecasting.
Fluency in English with strong writing skills.
Bachelor's degree in a quantitative field is preferred; a master's or PhD is a plus.
Relevant credentials are advantageous (for example Kaggle competition rankings, AWS or GCP ML certifications, or similar demonstrated expertise).

Benefits

Fully remote role open to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule to choose projects and determine your workload.
Competitive hourly pay up to $60; typical range is $40-$60 per hour, with higher-paying projects available for strong performers.
Opportunity to contribute to AI systems designed to reason about data and analytics.

Payment and eligibility notes: Payments are processed via PayPal. We will never ask for money from applicants. This job is available to candidates located in the US, Canada, UK, Ireland, Australia, and New Zealand.

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2mo ago

Title III Research & Data Analyst

Kansas City Kansas Community College Kansas City, KS

Kansas City, KS

2mo ago Closed

$56k - $77k/yr Full time Analyst Analytics Business Analytics

This position is no longer accepting applications (closed Jun 11, 2026).

Job Description

At Kansas City Kansas Community College, the Title III Research & Data Analyst plays a pivotal role in strengthening Institutional Effectiveness and Enrollment Management by turning data into actionable insights. This onsite position collaborates with Title III leadership to deliver precise reporting, CFR-aligned performance data, and strategic analyses that inform planning across academic and administrative initiatives.

Key Details

Location: Kansas City, KS (onsite)
Salary: USD 55,778 - 76,693 per year
Education: Bachelor's degree
Experience: Minimum 3 years

Responsibilities

Collaborate with the Title III Project Director to maintain accurate, timely data submissions in line with federal Title III requirements.
Support Title III Annual Performance Reporting and ensure alignment with CFR standards.
Assist in collecting, analyzing, and communicating data related to grant outcomes and institutional priorities.
Extract, analyze, and validate institutional data to inform decision-making and reporting processes.
Conduct quantitative analyses focused on institutional effectiveness, student success, and key performance indicators.
Create summary reports and insights to support planning, policy discussions, and strategic initiatives.
Develop and maintain dashboards and reports to back enrollment management, institutional planning, and departmental operations.
Prepare and maintain reports used in academic and administrative program reviews.
Ensure data accuracy, consistency, and usability across reporting tools and outputs.
Manage the course evaluation process.
Design and administer internal surveys for institutional and Title III data collection.
Analyze survey results and provide actionable insights to campus stakeholders.
Respond to ad hoc data requests from faculty, staff, and administrators.
Collaborate on interdepartmental and cross-campus data projects.
Communicate findings clearly to both technical and non-technical audiences.
Perform other duties as assigned by the Executive Director of Institutional Effectiveness or Title III Project Director.

Requirements

Bachelor’s degree in statistics, analytics, mathematics, computer science, behavioral or social sciences, information technology, or a related field.
Three years of experience in data collection, conducting research studies, and analysis.
Demonstrated experience with large datasets or data warehouses.
Proficiency with data tools and systems such as databases, spreadsheets, SPSS, SQL, and business intelligence/reporting tools.

Technologies

SPSS, SQL, Tableau, Power BI
Colleague, Banner, Ellucian Insights
Microsoft Office 365, CRM systems

To Apply

Read the job announcement carefully, noting the initial screening date, minimum qualifications, and required information.
Recognize that information in your application materials will be used to determine qualification.
Submit all documents listed as required.
If a transcript is required, unofficial transcripts may be submitted initially; official transcripts are required upon selection for hire.
Ensure transcripts show the awarded degree if you claim it as your highest education completed.
Foreign degrees are acceptable if translated or shown to be equivalent to a U.S. degree at the appropriate level.
Attach documentation verifying degree completion or coursework electronically with your application.
Provide three professional references with phone numbers and email addresses.
A college selection committee will review applications, with final hiring decisions made by the hiring manager.
Successful background checks are required for recommended hires; pre-employment tests may be used.

Working Conditions

Regularly requires standing, talking, listening, walking, and sitting.
Occasional pushing or lifting of items may be required.

Work Schedule

40 hours per week, Monday through Friday, 8:00 AM – 4:30 PM. A variable schedule may be needed to meet operational needs, and evening or weekend hours may be required.

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Quantitative Analysis Data Jobs

Quantitative Data Analyst Summer Analyst Program

GFR 161 Data Analyst (Part-Time, Non-Benefited) 1 Position

Health Data Analyst - AI Trainer

Health Data Analyst - AI Trainer

Title III Research & Data Analyst

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