Survey Programming

Company Description

DataXing is an emerging leader in the field of data collection, processing, and analysis, combining global human expertise with advanced AI technology. Our innovative approach delivers cutting-edge insights from diverse data sources, such as research, media, IoT, and web data. Specializing in research services, AI-driven solutions, and data services, DataXing provides tailored offerings like survey programming, data processing, qualitative and quantitative research, and predictive analytics. With proprietary panels and global alliances, we ensure creative and effective data collection strategies to meet clients' unique requirements. Join us in pushing the boundaries of data innovation and unlocking new opportunities in the world of analytics.

Role Description

This is a full-time, on-site role based in Noida for a Survey Programmer. The Survey Programmer will be responsible for creating and customizing online surveys, translating research objectives into dynamic programming scripts and questionnaires, and ensuring the functionality and accuracy of survey workflows. The role also involves collaborating with project managers and analysts, troubleshooting technical issues, optimizing survey solutions, and handling data processing requirements.

Qualifications

• Minimum 1+ years of experience in the Market Research industry

  (mandatory)
• Proficient in programming and data processing tools and techniques
• Familiarity with

  survey scripting platforms

  such as

  Confirmit, Decipher, Qualtrics, or similar tools

• Knowledge of

  technical skills like Python, JavaScript, and basic front-end development

  for customizing survey logic and functionalities
• Experience in developing effective questionnaires and survey flows
• Strong communication skills for coordination with various teams and stakeholders
• Attention to detail, problem-solving abilities, and a proactive approach to challenges
• Bachelor’s degree in Computer Science, Data Analytics, Market Research, or a related field is preferred