Data Processor

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).

Requirements

• 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:

• Experience with online survey platforms (e.g., Qualtrics, Alchemer, Decipher).
• Understanding of data visualization tools (e.g., Tableau, Power BI).
• Experience with SQL or relational databases.

Benefits

Hireframe provides nearshore and offshore staffing solutions, operating as a remote-first organization with team members located in the United States, Mexico, and the Philippines. Our robust benefits package includes:

• Permanent remote work flexibility
• Paid Time Off
• Health Maintenance Organization (HMO) coverage
• Annual performance bonuses
• Dedicated coaches offer an extra channel of support and skill-building
• Opportunities for professional growth

At Hireframe, we cultivate a supportive environment that fosters professional development and success, ensuring our team members thrive in their careers.