The Quantitative Research Operations Manager is a technical, behind-the-scenes role responsible for supporting the execution and quality of the organization's quantitative research.
You will work across studies to ensure surveys are programmed correctly, data is clean and accurate, and reporting outputs are client-ready. This includes program checking, data scanning and cleaning, data processing, report population, and rigorous numerical QC.
This is an ideal role for someone who enjoys the technical and operational side of quantitative research, has exceptional attention to detail, and naturally notices when something in the data doesn’t look right.
Duties and Responsibilities
Survey Programming & QA
Review programmed surveys against questionnaires for accuracy and consistency
Test survey logic, skips, piping, randomization, quotas, calculations, and respondent flow
Conduct soft-launch data checks and identify potential programming or fieldwork issues
Partner with researchers and programming vendors to troubleshoot and resolve issues
Data Quality & Processing
Scan and clean respondent-level data throughout fieldwork and at study close
Identify poor-quality respondents, inconsistent responses, suspicious open ends, speeders, straightliners, and other data-quality concerns
Investigate unexpected data patterns and troubleshoot potential programming, sampling, or data-processing issues
Support recodes, derived variables, banners, crosstabs, weighting, and significance testing
Review data tables and other outputs for accuracy and consistency
Reporting & Analysis Support
Populate PowerPoint reports with survey data, including charts and tables
Check bases, percentages, significance, calculations, and data labels
Conduct rigorous numerical QC of client deliverables
Troubleshoot discrepancies across raw data, tables, and reporting outputs
Prepare clean, analysis-ready data and outputs for research teams
Operational Excellence
Serve as a centralized resource for quantitative research quality and technical execution
Develop and improve standardized processes for program checking, data cleaning, reporting, and QC
Identify opportunities to automate or streamline repetitive quantitative workflows
Learn and leverage AI-powered tools and platforms to improve efficiency and quality
Requirements
Bachelor’s degree (market research, psychology, sociology, business, communications, or related field preferred)
0–2 years of experience (internships count)
High attention to detail
Strong analytical and writing skills
Proficiency in Excel and PowerPoint (experience with survey or analytics tools a plus)
Ability to manage multiple deadlines in a remote environment
Benefits
Hireframe provides nearshore and offshore staffing solutions, operating as a remote-first organization with team members located in the United States, Mexico, and the Philippines. Our robust benefits package includes:
Permanent remote work flexibility
Paid Time Off
Health Maintenance Organization (HMO) coverage
Annual performance bonuses
Dedicated coaches offer an extra channel of support and skill-building
Opportunities for professional growth
At Hireframe, we cultivate a supportive environment that fosters professional development and success, ensuring our team members thrive in their careers.
Learn More
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Hireframe is a remote-first staffing solutions company that provides nearshore and offshore talent to businesses globally. Operating with team members located in the United States, Mexico, and the Philippines, the company specializes in connecting skilled professionals with organizations seeking flexible, distributed workforce solutions. Hireframe offers comprehensive benefits and professional development opportunities to support their team members' career growth and success.
