Data Processor

Key Responsibilities

• Critically assess the technical side of questionnaires, including filters, routing, piping, quota logic and database structure, to ensure analysis-readiness.
• Recommend implementation changes during or after project setup where the data structure, routing logic, coding requirements or tabulation specifications create quality risks.
• Execute and guide robust data quality checks, including consistency checks, missing-data checks, validation against questionnaire logic and output accuracy checks.
• Act as a knowledgeable sparring partner for project teams on technical data questions, quality risks and analytical feasibility.

• Prepare datasets for tabulation through data manipulation, data wrangling, restructuring, merging, code frame creation, recoding, weighting support, complex computations and other data management activities.
• Independently process standard and moderately complex datasets using approved tools and documented methods.
• Produce accurate simple and complex tabs, including crosstabs, banners, breaks, filters, derived variables and other standard or project-specific tabulation requirements.
• Use relevant Human8 tools and methods, including visual tagging and text highlight, to support coding, classification, quality review and insight preparation where applicable.
• Automate recurring processing tasks where feasible by applying known techniques, reusable syntax, templates, macros, Copilot-assisted workflows or other approved efficiency improvements.
• Maintain clear processing documentation so that outputs are traceable, repeatable and easy to review.
• Partner with senior experts on complex data structures, advanced transformations, non-standard tabulation or technically challenging project requirements.

• Evaluate standard data processing and tabulation steps, identifying opportunities to improve quality, efficiency, automation and consistency.
• Create or improve technical manuals, step-by-step guides, checklists and reusable templates for standard and recurring project types.
• Provide technical guidance to colleagues on tools, output checks, data issues and troubleshooting.
• Stay current with commonly used data processing and tabulation tools, including SPSS, Q, WinCross, Data Wizard, Copilot and relevant Human8 proprietary tools.
• Contribute to knowledge sharing and capability building across the Data Processing community.

• Use core data processing platforms such as SPSS, WinCross, Q and Data Wizard to prepare, manipulate, tabulate and validate research data.
• Use Copilot and other approved productivity tools responsibly to support efficiency, documentation, checking and workflow improvement.
• Use Human8 tools and methodologies, including visual tagging and text highlight, to support coding, classification, quality review and synthesis of qualitative or open-ended data where relevant.

Skills, Knowledge & Expertise

• Accuracy and completeness of processed datasets, manipulated data files, coded outputs, simple tabs and complex data tables
• Timeliness of data processing deliverables against agreed project milestones
• Quality of technical questionnaire/database reviews and early identification of analysis and tabulation risks
• Effectiveness of data quality checks and reduction of rework or output corrections
• Effective use of required tools, including SPSS, WinCross, Q, Data Wizard, Copilot, Human8 visual tagging and text highlight
• Contribution to automation, documentation, reusable methods, technical guidance and continuous process improvement

• Relevant Bachelor’s degree in Data, Statistics, Computer Science, Business Analytics etc
• Minimum 1-2 years of experience.
• Manage English at a professional level (verbal/ writing) and able to have a fluent and accurate conversation.