Job Description - Data Processing Executive

About us:

We invite you to come grow with us.

Research Partnership (part of Inizio Advisory) is one of the world's largest pharma market research and consulting agencies with over 250 researchers, consultants, project managers and support staff. Our teams are located across the globe, in Europe (London, Lyon), North America (New York, Philadelphia, San Francisco) and Asia (Singapore, India).

As individuals with diverse backgrounds, as a team with shared values, as professionals ready to reimagine health and life sciences—you can grow with us at a place that:

• Makes a difference to human health
• Shares values and celebrates progress
• Puts people at the centre of everything

About the team:

We have recently established a new Data Processing Team in India, based in Gurgaon. This new hub will be part of our global Operations team, reporting into Operations Director based in the UK office.

This dedicated team will play a critical role in supporting all our quantitative research studies across the business.

The primary responsibility of the India team will be to manage and deliver high-quality tabulations—both interim and final—across uncoded and coded datasets. The team will work in close collaboration with our research, project management, and scripting teams to ensure seamless data flow and accurate outputs that meet our clients’ needs.

By building this centre of excellence, we aim to enhance our data processing capabilities, improve turnaround times, and ensure greater consistency and efficiency across projects. This initiative represents a strategic step in strengthening our operational infrastructure while continuing to uphold the high standards that our clients expect from Research Partnership.

Additionally, they will collaborate closely with the analytics and data management teams, facilitating the smooth flow of data for efficient analysis, reporting, and insights generation.

Your primary role:

The Data Processing Executive role will report into The Data Processing Manager position. The Data Processing Executive will be a key member of the newly formed India-based Data Processing 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.

About You…

Your skills and experience:

• More than 2 years of experience in a data processing within a market research agency (ideally healthcare but can be other market research sectors)
• Basic to intermediate 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
• 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.
• Demonstrable experience of working with senior team members
• Problem-solving skills (particularly relating to situations requiring analytical judgement and establishing best practice solutions)
• Excellent analytical and numerical skills
• Strong communication skills, particularly in the ability to explain technical points to non-technical people in an international environment
• 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.

Ideal profile:

• You are proactive, dedicated and enthusiastic, with a ‘can do’ attitude and approach
• You demonstrate a high level of accuracy and attention to detail, as well as strengths in organisation and prioritisation
• You are a collaborative team player who works well with colleagues
• You communicate ideas and issues in an effective, straightforward fashion
• You are highly motivated and want to seize opportunities to develop new skills and progress your career

Artificial Intelligence

Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. Don't meet every requirement? That's okay! We are 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.