Analyst

8 Minutes ago • 2 Years +

Job Summary

Job Description

The Data Validation (DV) Specialist will perform data quality checks and validation on market research datasets using tools like SPSS. Responsibilities include developing and executing scripts to identify data anomalies, collaborating with the survey programming team to improve questionnaires, investigating data discrepancies, and creating detailed data documentation. The role requires automating data validation processes and actively participating in team meetings to discuss improvements. The specialist will be focused on enhancing overall survey quality and ensuring consistent practices.
Must have:
  • Bachelor’s degree in a related field
  • 2+ years of experience in data validation
  • Familiar with data validation using SPSS
  • Proactive team player for fast-paced environment
  • Programming knowledge in a major language (R, JavaScript, or Python)

Job Details

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

Job Description:

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.

Location:

Mumbai

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent

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About The Company

For over 120 years, innovation has been a core tenet of our offering – exploring new ways to reach, engage and nurture relationships with audiences. Together we drive a multiplier effect for clients at a global scale, through the development of Integrated Growth Solutions that are underpinned by our promise to clients: innovating to impact. Read MoreBe a force for good. Sustainability is a vital part of our business and an important area of focus for our clients. We’re leading the way – helping to build a more sustainable planet. Dream loud. In this moment of transformation, we need our people to be fearless, embracing change and ambiguity, driven by the love for their work and excitement for the future. Team without limits. We create opportunities for connection and collaboration between our colleagues and clients, building a sense of belonging and having some fun along the way.

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