Data Processing Manager

Job Description
The Data Processing Manager will be a key member of the newly formed India-based DMD Hub, supporting quantitative healthcare market research projects across global markets. This role is responsible for the accurate and timely production of tabulations, both interim and final, and requires close collaboration with research, project management, and scripting teams. This will include:

• 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.

Skills and Experience:

• 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.

Don't meet every job requirement? That's okay Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.