Data Validation (DV) Specialist (Using SPSS) - Team Leader
Job Description:
Perform data quality checks and validation on market research datasets
Develop and execute scripts and automated processes to identify data anomalies.
Collaborate with the Survey Programming team to review survey questionnaires and make recommendations for efficient programming and an optimal layout that enhances user experience.
Investigate and document data discrepancies, working with survey programming team/data collection vendors as needed.
Collaborate with Survey Programmers and internal project managers to understand survey requirements and provide guidance on quality assurance best practices.
Provide constructive feedback and suggestions for improving the quality of data, aiming to enhance overall survey quality.
Automate data validation processes where possible to enhance efficiency and reduce time spent on repetitive data validation tasks.
Maintain thorough documentation of findings and recommendations to ensure transparency and consistency in quality practices
Actively participate in team meetings to discuss project developments, quality issues, and improvement strategies, fostering a culture of continuous improvement
Manage the pipeline and internal/external stakeholder expectations
Train and mentor junior team members
Qualification:
Bachelor’s degree in computer science, Information Technology, Statistics, or a related field.
At least 4+ years of experience in data validation process.
Familiar with data validation using SPSS, Dimension, Quantum platform or similar tools
A proactive team player who thrives in a fast-paced environment and enjoys repetitive tasks that contribute to project excellence.
Programming knowledge in a major programming language such as R, JavaScript, or Python, with an interest in building automation scripts for data validation.
Excellent problem-solving skills and a willingness to learn innovative quality assurance methodologies.
A desire for continuous improvement in processes, focusing on creating efficiencies that lead to scalable and high-quality data processing outcomes.