Survey Methodology Specialist (12 months) - UP TO $5K - Govt Sector

PERSOL; Santo Niño 1st; On-site; PHP 2,930,000 - 3,488,000; Full time

Job summary

PERSOL is seeking a skilled Survey Methodologist to develop and review survey methodologies, designs and sampling approaches. You will conduct statistical analyses, review data quality, and maintain technical documentation, collaborating with Operations, Data and Quality teams to ensure robust implementations.

Experience with R, Python, SAS or SPSS, and familiarity with AI tools for data analytics are highly valued. Strong communication and stakeholder management are essential.

Qualifications

• Degree in Statistics, Mathematics, Data Science, Economics or related discipline.
• Relevant experience in survey methodology, statistics, data analysis or related field.
• Strong analytical and problem-solving skills with attention to detail.
• Proficiency in statistical/data analysis tools such as R, Python, SAS, SPSS.
• Familiarity with AI tools and AI-assisted data analytics.

Responsibilities

• Develop and review survey methodologies, sampling approaches and research designs.
• Conduct statistical analysis and provide methodological recommendations for survey projects.
• Review data quality, identify anomalies and suggest corrective actions.
• Develop and maintain methodology guidelines, SOPs and technical documentation.
• Collaborate with Survey Operations, Data and Quality teams to ensure correct implementation of methodologies.
• Support methodology testing, validation and continuous improvement initiatives.
• Leverage AI tools to enhance survey methodology, data analysis, quality checks and efficiency.
• Explore AI-assisted approaches for data validation, pattern identification, reporting and automation.
• Provide technical advice and present findings to stakeholders.
• Ensure methodologies comply with statistical standards, data confidentiality and governance.

Skills

Analytical skills

Problem solving

Communication skills

Stakeholder management

Data interpretation

Education

Degree in Statistics / Data Science

Tools

R

Python

SAS

SPSS

Job description

Contract duration: 12 months contract

Salary: $4,200 - $5,000

Job Scope:

• 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.