Data Processing Manager

• Running and validating interim and final tabulations (uncoded and coded) for quantitative research studies using relevant software (e.g., Q, Quantum, SPSS, Excel-based platforms, or proprietary tools).
• Ensuring all tabulations meet internal and client-specific formatting, logic, and output requirements.
• Checking tabulated data for accuracy, completeness, and consistency before delivery.
• Supporting QA processes and documentation to maintaining high data standards across projects.
• Assisting in preparing raw datasets for processing, including basic cleaning, formatting, and consistency checks.
• Working with coded and uncoded datasets, ensuring proper integration into final tabulation outputs.
• Liaising with scripting/programming team to ensure accurate data structure for tabulation.
• Working closely with the research and project management teams to understand project requirements, timelines, and deliverables.
• Providing input and feedback to internal stakeholders to optimise processes and outputs.
• Managing assigned tasks within deadlines and flag any delays or data issues proactively to the manager and wider team.
• Maintaining clear documentation of tabulation processes and version control.
• Supporting in updating project logs and workflow tracking systems.
• Continuously improving knowledge of data processing tools, tabulation best practices, and healthcare market research processes.
• Provide training, mentorship, and professional development to the DP team.

• More than 8 years of experience in a data processing within a market research agency (ideally healthcare but can be other market research sectors)
• Strong proficiency in data tabulation software (preferably Q, but Quantum or similar will be considered as well)
• Exposure to or understanding of survey scripting tools and survey data structures is a plus
• Knowledge of data cleaning, validation, coding (open-ends), and cross-tabulation methodologies.
• Experience working with survey data formats (e.g., XML, CSV), as well as knowledge of relational databases and data structure management.
• Understanding of quantitative research methodologies, questionnaire structures, and healthcare market research best practices.
• Experience with data mapping, data transformations, and structuring for reporting purposes.
• Problem-solving skills (particularly relating to situations requiring analytical judgement and establishing best practice solutions)
• Skilled in handling complex datasets, multiple data sources, and large volumes of data efficiently.
• Strong communication skills, particularly in the ability to explain technical points to non-technical people in an international environment
• Ability to identify process improvement opportunities and implement SOPs for efficiency.
• High attention to detail with a strong focus on data accuracy and consistency.
• Logical thinking and ability to troubleshoot errors or discrepancies in tabulated data.
• Ability to interpret tabulation specifications and apply them accurately.

Inizio