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Why this grade This listing scored 51/100, which is a D. It lost the most ground on pay transparency. See the breakdown
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This listing does not state a salary
$93k – $130k
That is the middle half of what comparable roles paid on this board over the last 90 days — 21 listings that did publish a figure, median $107k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
Marketing Manager Full Time
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.
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Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 20 Sep 2026 Himalayas first sighting
Seen on 1 board over 0 days.