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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong analytical skills and attention to detail in reviewing and cleaning data for quantitative research. Proficient in Excel and PowerPoint, with the ability to manage multiple deadlines and improve processes for data quality and reporting.
Highest-signal resume keywords
Data Quality AssuranceSurvey Logic TestingData CleaningAnalytical SkillsExcel Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data CleaningSurvey Logic TestingStatistical AnalysisData ProcessingQuality ControlData VisualizationSurvey ProgrammingSignificance TestingData AnalysisQuantitative Research
Soft Skills
Attention to DetailAnalytical ThinkingWriting SkillsTime ManagementCollaboration
Tools & Technologies
ExcelPowerPointSurvey ToolsAnalytics ToolsAI-Powered Tools
Industry Keywords
Market ResearchData QualityQuantitative ResearchData PatternsFieldwork
About the role
Key responsibilities & impact- 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
- 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 programming, sampling, or data-processing issues
- Support recodes, derived variables, banners, crosstabs, weighting, and significance testing
- Review data tables and outputs for accuracy and consistency
- Populate PowerPoint reports with survey data, including charts and tables
- Check bases, percentages, significance, calculations, and data labels
- Conduct numerical QC of client deliverables
- Troubleshoot discrepancies across raw data, tables, and reporting outputs
- Prepare clean, analysis-ready data and outputs for research teams
- 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
What you’ll need- 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
Comp & perks- 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