Quantitative Research Operations Manager
Job Description
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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 with solid Market Research experience 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 and can figure out why.
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
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Hireframe
View Company ProfileHireframe is a cutting-edge technology company that specializes in recruitment and hiring solutions. With a strong focus on innovation and customer satisfaction, the company aims to revolutionize the way businesses find and acquire top talent. By leveraging advanced algorithms, artificial intelligence, and data analytics, Hireframe provides a robust platform for companies to streamline their hiring processes, reduce costs, and improve the overall quality of their personnel. The company's user-friendly interface and intuitive tools enable employers to easily post job openings, manage applications, and conduct interviews, all in one place. Moreover, Hireframe's extensive database of pre-vetted candidates and personalized job matching capabilities help ensure that the best candidates are connected with the right opportunities. As a result, Hireframe has become a trusted partner for businesses of all sizes, from startups to multinational corporations, seeking to build and maintain a high-performing workforce. With its commitment to excellence, flexibility, and customer-centric approach, Hireframe is poised to become a leader in the recruitment and talent management industry.
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