Quantitative Primary Research, Data Processing Specialist

• Perform data cleaning, validation, and preparation of survey datasets for analysis
• Review in‑field and post‑field data to identify issues such as outliers, missing data, or inconsistencies
• Execute data transformations, including dataset merging, recoding, and variable creation following defined processing standards
• Produce standard analytical outputs (e.g., distributions, cross tabs) following defined template
• Flag data issues, missing variables, or anomalies and collaborate with project managers and programming teams to resolve them
• Maintain clear documentation, codebooks, and processing notes
• Ingest and review structured survey datasets received from fieldwork / project teams for completeness and usability
• Validate dataset structure, variable definitions, coding schemes, and alignment with questionnaire specifications
• Review, assess, and validate the tabulation plan (tab plan) developed by the ARC team
• Partner with fieldwork, scripting, and visualization teams to ensure smooth handoffs and data continuity across project stages
• Ensure final datasets meet internal quality standards and are optimized for downstream analysis and reporting

• At least 5 years’ experience at a research agency or in an in-house role supporting quantitative research data processing
• Bachelor’s degree in Statistics, Mathematics, Economics, Engineering, Computer Science, or a related field, or equivalent practical experience
• Hands‑on experience with data processing or statistical tools (e.g., SPSS, Q, R, Excel, DisplayR, or similar) is mandatory
• Understanding of quantitative research data structures and processing workflows
• Familiarity with basic analytical concepts and outputs (e.g., data weighting, distributions, crosstabs, basic comparisons)
• Strong attention to detail and quality orientation
• Ability to manage multiple datasets and tasks simultaneously
• Comfortable working in fast‑paced, deadline‑driven environments
• Experience supporting multi‑market or regional studies is a plus
• Detail oriented and focused on delivering accurate, well structured datasets
• Comfortable owning defined data processing workstreams from raw data to final outputs
• Methodical in applying data quality checks, logic rules, and consistency validations
• Confident working with structured datasets, codebooks, and processing documentation
• Collaborative and reliable in supporting researchers, programmers, and visualization teams
• Able to balance speed with rigor in a high volume, deadline driven environment

Experience supporting multi‑market or regional studies is a plus