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Senior Data Processing Analyst
PPMI Construction CompanySenior Data Processing Analyst responsible for processing and quality assurance of survey data. Collaborate with AI and automation engineers, developing high-quality data solutions for large-scale programs at Verian.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in survey data processing, including statistical procedures and data management, while leveraging Python and R for automation and validation. Capable of mentoring analysts and serving as a technical liaison for project stakeholders.
Highest-signal resume keywords
Survey Data ProcessingPython CodingR CodingStatistical ProceduresMentoring Analysts
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 ManagementQuality AssuranceWeightingSignificance TestingConfidence IntervalsAutomated Processing WorkflowsSurvey Data StructuresData ValidationAnalytical OutputsDocumentation
Soft Skills
CommunicationTeam DevelopmentTechnical Liaison
Tools & Technologies
PythonRSPSSAI-Assisted Tools
Industry Keywords
Market ResearchSocial ResearchPolicy Research
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Own the data processing side of projects end to end: specifications, data management, quality assurance, documentation and final deliverables
- Carry out weighting, significance testing and other statistical procedures, working with methods specialists on complex survey designs
- Produce high-quality data tables, datasets and analytical outputs
- Help develop automated processing workflows in Python and/or R, including modernising existing SPSS-based processes
- Apply AI-assisted tools to coding, QA, validation and documentation
- Act as the technical contact for project directors, project managers and, where needed, clients
- Mentor and develop less experienced analysts as the team grows
Requirements
What you’ll need- Proven senior-level experience in survey data processing within market, social or policy research
- Strong coding in Python and/or R applied to data processing, validation or automation
- Solid survey statistics: weighting, significance testing, confidence intervals
- Deep understanding of survey data structures and downstream delivery requirements
- Professional working proficiency in English. Knowledge of German and/or French would be an advantage.
Benefits
Comp & perks- Fully remote, based anywhere in the EU
- Opportunity to work on large assignments alongside project directors and managers across Europe
- Access to state-of-the-art AI and automation approaches