The Quality Analyst, Research Solutions is integral to the success of our business as it plays a crucial role in ensuring data integrity, maintaining quality standards, and contributing to the continuous improvement of our research processes. Prodege A cutting-edge marketing and consumer insights platform, Prodege has charted a course of innovation in the evolving technology landscape by helping leading brands, marketers, and agencies uncover the answers to their business questions, acquire new customers, increase revenue, and drive brand loyalty & product adoption. Location: Preferably within a reasonable commuting distance from our office in Gurugram. Primary Objectives Conduct thorough quality assurance checks on survey data and research projects. Develop and maintain quality control procedures and documentation. Monitor and analyze data patterns to identify potential quality issues. Ensure compliance with research standards and methodologies. Provide detailed quality reports and recommendations for improvement. Collaborate with cross-functional teams to implement quality improvements. Track and document quality metrics and KPIs. Reviewing and validating online survey test links of projects of various complexities. Checking the survey data for logical and survey flow consistencies, data capture correctness, quota fulfillment, and related metrics. Correctly interpreting data and working closely with programmers and project managers to rectify issues. Detailed Job Duties 1. Quality Control and Analysis Review and validate survey data for accuracy and completeness. Identify and remove fraudulent or low-quality responses. Monitor data collection processes for consistency. Generate quality metrics reports. 2. Process Improvement Recommend and implement quality control procedures. Develop standardized quality checking protocols. Document best practices for quality assurance. Create and maintain quality assurance documentation. Identify areas for process optimization. 3. Team Collaboration Work closely with research teams to maintain data quality. Communicate quality issues to relevant stakeholders. Provide training and guidance on quality standards. Participate in project planning meetings. Support cross-functional quality initiatives. 4. Technical Support Use SPSS quality analysis tools and software. Document technical issues affecting data quality. Assist in troubleshooting quality-related problems. Maintain quality control systems and databases. Success Metrics Success in this role entails maintaining consistent data quality standards, identifying and resolving quality issues proactively, and contributing to the continuous improvement of quality processes. Qualifications The MUST Haves: At least 3 years of experience in a Quality Analyst role. Strong knowledge of SPSS software. Attention to detail and accuracy. Proficiency in data analysis and quality control methodologies. Excellent written and verbal communication skills in English. Experience with quality assurance processes. Strong organizational skills. The Nice to Haves: Bachelor's degree in Computer Science, Masters in Computer Application, or equivalent is preferred.