Inizio Ignite
About Inizio Ignite: Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Company Descriptor Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Our Research Partnership healthcare market research team provides research and insights to inform and power healthcare decisions. Serving a variety of clients across the lifecycle, our expertise includes data, research & insights (proprietary syndicated and custom research) and brand tracking (ATU). Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – supporting confident, insight-driven decisions that move innovation forward. Role Overview The Data Processing Manager role will report into The Data Processing Sr Manager position. The Data Processing Manager will be a key member of the 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: What you'll be doing 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. Lead 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 of Execcutive 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. solving What you'll need More than 8+ years of experience in a data processing within a market research agency (ideally healthcare but can be other market research sectors) Expert 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 and Jr 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 candidate should be 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. 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.