We are seeking a detail-oriented and tech-savvy Data Processor to join our Research Operations team. In this role, you will be responsible for managing and transforming raw survey and behavioral data into clean, structured formats ready for analysis. This includes quality checking, coding, weighting, merging datasets, and ensuring accurate delivery of final data files to research teams and clients. This is a critical role in ensuring the integrity and reliability of our research outcomes.
Key Responsibilities:
- Data Cleaning & Quality Control: Clean raw datasets (identify and correct data errors, remove duplicates, handle missing values, ensure data consistency) from survey platforms (e.g., Qualtrics, Alchemer, etc.) and prepare them for analysis using tools such as Excel, SPSS, or R.
- Data Transformation: Standardize and reformat raw data into usable formats for analysis, ensuring alignment with research objectives and client specifications.
- Tabulation & Aggregation: Create frequency tables, cross-tabulations, and summary statistics to support insights reporting and client presentations.
- Weighting & Tabulations: Apply weights to datasets and generate frequency tables and crosstabs as needed.
- Data Integration: Combine data from multiple sources (e.g., surveys, tracking studies, spreadsheets) into cohesive datasets for analysis and reporting.
- Export & Documentation: Prepare clean, well-labeled datasets and export them to specified formats (e.g., Excel, CSV, SPSS) with accompanying documentation.
- Quality Control: Conduct systematic checks to ensure data accuracy and completeness prior to delivery.
- Collaboration: Work closely with research analysts, project managers, and survey programmers to ensure timely and accurate data delivery.
- Coding of Open-Ended Responses: Manually or semi-automatically categorize qualitative text responses using coding frameworks to enable quantitative analysis.
- Automation & Scripting: Use scripting languages or tools to automate repetitive tasks (e.g., Python, R, Excel macros).