EU remote
Data Processing Specialist with Quantum
About this role
The Data Processing Specialist with Quantum is responsible for managing and delivering complex market research data processing projects, transforming survey data into accurate and actionable outputs for clients. The role ensures high-quality data delivery through advanced analytical tools, effective stakeholder collaboration, process optimization, and the use of AI-driven solutions to improve efficiency and standardization across operations.
Key Responsibilities Review, assess, and process all project materials and data provided by clients. Engage proactively with clients and internal stakeholders to clarify requirements, discuss technical solutions, and ensure successful project delivery. Design, implement, and maintain data processing solutions using platforms such as Quantum, SPSS, Dimensions, and other relevant tools. Produce and validate data tables, reports, dashboards, spreadsheets, and output files based on data from multiple sources.
Perform advanced statistical calculations, modeling, data analysis, and quality assurance activities. Ensure all deliverables meet NIQ quality standards and are completed within agreed timelines. Lead the technical setup of projects and provide guidance on best practices and optimal deliverable solutions. Collaborate with cross-functional teams to resolve project issues and ensure smooth delivery. Prioritize, structure, and independently manage high-complexity projects and competing workloads.
Coordinate work allocation within the team and monitor task completion. Take ownership of project-related decisions in ambiguous situations and drive resolution. Identify, recommend, and implement process improvements, automation opportunities, and operational efficiencies. Leverage AI tools to support questionnaire translation, workflow optimization, reporting automation, and process standardization. Contribute to quality management initiatives, operational KPIs, training frameworks, and continuous improvement programs.
Participate in testing, adoption, and implementation of newly developed software and tools. Train, coach, and support colleagues in data processing methodologies, systems, and best practices. Provide guidance and day-to-day supervision to junior team members. Foster knowledge sharing and actively contribute to team capability development. Ensure compliance with internal policies, governance standards, and operational procedures.