Job Opportunity
We are seeking a highly skilled, detail-driven Data Scrubbing Senior Analyst to join our growing Global Programming & Hosting (P&H) team. In this hands-on role, you will be responsible for safeguarding the quality and integrity of our clients' survey data through rigorous cleaning, validation, and scrubbing processes.
As a senior level analyst, you will own the technical execution of the data quality lifecycle, from live fieldwork monitoring and response validation to final scrubbing, anonymisation, and data delivery. You will work closely with Project Managers and client stakeholders to ensure our datasets are clean, compliant, and ready for confident analysis.
What You'll Do
Data Scrubbing & Cleaning: Lead the cleaning and scrubbing of survey data, identifying and removing duplicate, fraudulent, or low-quality responses without compromising dataset integrity.
Technical Consulting: Review client requirements and quality thresholds, advising on best practices for data validation, quota management, and respondent quality control.
Quality Assurance & Testing: Conduct rigorous QA checks on incoming data to catch straight-lining, speeding, and other fraud patterns before delivery.
Data Validation & Compliance: Ensure data structures are clean, properly formatted, and privacy-compliant for delivery (SPSS, Excel, CSV, etc.), scrubbing or anonymizing PII in line with regulations such as GDPR.
Troubleshooting & Support: Quickly diagnose and resolve data quality issues, flagging anomalies or respondent flow bottlenecks during live fieldwork.
Stakeholder Collaboration: Partner directly with internal Project Managers and client-side researchers to clarify quality standards and provide updates on data delivery timelines.
What We’re Looking For
Experience: 3+ years of hands-on full service project management or survey programming experience within a market research, panel, or data collection environment.
Platform Expertise: Advanced proficiency in major survey programming platforms (such as Decipher, Qualtrics, Alchemer or similar ResTech tools).
Technical Skills: Strong working knowledge of web technologies including HTML, CSS, and JavaScript to customize survey interfaces and design. Experience with Python or XML is a strong plus.
Eye for Detail: Exceptional analytical and QA skills with a track record of delivering clean, error-free survey logic and data files.
Client facing: strong experience collaborating with internal stakeholders (Project Managers, Commercial teams, etc) and external clients, managing expectations, resolving technical queries and ensuring timely delivery.
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Our Values
Collaboration is our superpower
- We uncover rich perspectives across the world
- Success happens together
- We deliver across borders.
Innovation is in our blood
- We’re pioneers in our industry
- Our curiosity is insatiable
- We bring the best ideas to life.
We do what we say
- We’re accountable for our work and actions
- Excellence comes as standard
- We’re open, honest and kind, always.
We are caring
- We learn from each other’s experiences
- Stop and listen; every opinion matters
- We embrace diversity, equity and inclusion.
More About Cint
We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth.
In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries.
Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. (www.cint.com)
Additionally, in a world of AI, we want our candidates to understand our approach to the use of AI during the interview and hiring process, so we'd appreciate you reading our AI usage guide.