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.
Standardize and reformat raw data into usable formats for analysis, ensuring alignment with research objectives and client specifications.
Create frequency tables, cross-tabulations, and summary statistics to support insights reporting and client presentations.
Apply weights to datasets and generate frequency tables and crosstabs as needed.
Combine data from multiple sources (e.g., surveys, tracking studies, spreadsheets) into cohesive datasets for analysis and reporting.
Prepare clean, well-labeled datasets and export them to specified formats (e.g., Excel, CSV, SPSS) with accompanying documentation.
Conduct systematic checks to ensure data accuracy and completeness prior to delivery.
Work closely with research analysts, project managers, and survey programmers to ensure timely and accurate data delivery.
Manually or semi-automatically categorize qualitative text responses using coding frameworks to enable quantitative analysis.
Use scripting languages or tools to automate repetitive tasks (e.g., Python, R, Excel macros).

Bachelor’s degree in Data Science, Statistics, Marketing, Social Sciences, or related field.
2-4 years of experience in a data processing or similar role, preferably in a market research environment.
Proficiency in Excel and at least one data processing/statistical tool (SPSS, R, Python, or similar).
Familiarity with survey data and understanding of market research methodologies.
Excellent attention to detail and ability to manage multiple projects simultaneously.
Strong communication and problem-solving skills.

Preferred:

Data Processor

Key skills