Quantitative Research Operations Manager

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

* Applicable for full-time permanent roles
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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Originally posted on Himalayas