Survey Methodology & Data Analytics Specialist

Position: Survey Methodology Specialist

Contract duration: 12 months contract (Renewable)

Salary: $4,200 – $5,000/monthly

Location: Havelock

• Develop and review survey methodologies, sampling approaches and research designs.
• Conduct statistical analysis and provide methodological recommendations to support survey projects.
• Review data quality, identify anomalies and recommend appropriate corrective actions.
• Develop and maintain methodology guidelines, SOPs and technical documentation.
• Work closely with Survey Operations, Data and Quality teams to ensure accurate and consistent implementation of methodologies.
• Support methodology testing, validation and continuous improvement initiatives.
• Leverage AI tools and technologies to enhance survey methodology, data analysis, quality checks, research processes and operational efficiency.
• Explore and implement AI-assisted approaches for data validation, pattern identification, text analysis, reporting and process automation, where appropriate.
• Provide technical advice and present methodology findings to relevant stakeholders.
• Ensure survey methodologies comply with applicable statistical standards, policies, data confidentiality and governance requirements.

Requirements:

• Degree in Statistics, Mathematics, Data Science, Economics, Research Methodology or a related discipline.
• Relevant experience in survey methodology, statistics, research, data analysis or a related field.
• Strong analytical, problem-solving and critical-thinking skills with good attention to detail.
• Proficiency in statistical/data analysis tools such as R, Python, SAS, SPSS or equivalent.
• Familiarity with AI tools, generative AI, machine learning or AI-assisted data analytics, with the ability to identify and apply suitable AI solutions to improve research and survey processes.
• Good understanding of data quality, statistical concepts and research methodologies.
• Strong communication and stakeholder management skills.
• Ability to translate technical and analytical findings into practical recommendations.

We regret to inform that only shortlisted candidates will be notified.

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