Description review

Quantitative Research Operations Manager

Hireframe · Philippines · back to the listing

HR standards

61/100

needs work

Title ↔ description

47/100

poor

Reads as

Data Analyst

97% confident

What this role officially is

data analyst — ESCO, the EU occupation classification

Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualisations such as graphs, charts, and dashboards.

Also known as: data warehousing analyst, data analysts, data warehouse analyst, data storage analyst

How others title the same work

Large employers

  • Operations Insights, Tax Stripe

Startups

  • Senior Data Analyst Camber
  • Senior Data Analyst Confido

What the listing never says

  • 36 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

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

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 8 points (from 69 before penalties). Reviewed 21 Sep 2026.