Data Quality Analyst

Key Responsibilities:

• Validate survey logic and structure to ensure accurate data collection.
• Monitor incoming data for inconsistencies, errors, or unusual patterns.
• Perform data cleaning and transformation using tools like Excel, SPSS, etc
• Develop and maintain data quality checks and automation scripts for efficiency.
• Collaborate with research and operations teams to resolve data-related issues.
• Ensure alignment of data with project objectives and client requirements.
• Prepare data quality reports and provide actionable recommendations where needed.
• Cross check sample representativeness and response integrity across key demographics.
• Support processing and other reporting teams by delivering clean and structured data.
• Contribute to process improvement initiatives to enhance data accuracy and reliability.

Requirements:

• Proficiency in data cleansing, validation, and preparation to ensure accuracy and consistency.
• Ability to analyze, explore, and segment datasets for actionable insights.
• Strong knowledge of statistics and statistical packages such as Excel OR SPSS.
• Experience in creating and applying algorithms to identify trends, outliers, and errors in large datasets.
• Familiarity with survey platforms (e.g., Decipher, Qualtrics, Confirmit) and understanding of survey logic and flow.
• Expertise in data visualization and creating dashboards using tools.
• Competence in visual storytelling with data.
• Knowledge of sampling methods.
• Proven experience in data analysis and data quality management within market research.
• Strong mathematical and problem-solving abilities.
• Solution-oriented mindset.
• Some expertise in AI.
• High accuracy and attention to detail.
• Excellent written and verbal communication skills
• Strong team-working skills and the ability to collaborate with project managers, researchers, and technical teams.
• Comfortable managing multiple projects.
• Comfortable working flexible hours

anusha.devadasan@iresearchservices.com