Analyst

Insights & Analysis

Mumbai

About the job

Data Validation (DV) Specialist (Using SPSS) - Analyst

Core Responsibilities:

  • 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.
  • Create and maintain detailed data documentation and validation reports.
  • Collaborate with Survey Programmers and internal project managers to understand data processing 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.

Qualification:
 

  • Bachelor’s degree in computer science, Information Technology, Statistics, or a related field.
  • At least 2+ 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.

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