Senior Data Processor & Mentor — SPSS, Weighting & Tables

RONIN International; Makati; On-site; PHP 600,000 - 900,000; Full time

Job summary

Ronin International in the Philippines is seeking a Senior Data Processor to handle accurate and timely processing of market research data. You will validate, clean, weight, merge, and recode survey data, producing client-specific tables and outputs, and ensuring adherence to project specs.

You will also mentor and train junior team members, share best practices, and help raise data quality standards across the processing team, contributing to automation initiatives wherever possible.

Qualifications

• Experience in data processing within the market research industry.
• Strong knowledge of SPSS and SPSS syntax.
• Experience with data validation, cleaning, recoding, weighting, and merging.
• Ability to create cross-tabulations and client-specific tables.
• Attention to detail and data accuracy.
• Experience mentoring or training junior colleagues is desirable.

Responsibilities

• Process and validate data from quantitative surveys using SPSS.
• Develop and execute SPSS syntax for automated checks and cleaning.
• Create data tables and client-specific tabulations.
• Prepare cross-tabulations, banners, filters, breaks for outputs.
• Perform data weighting, merging, and harmonization across sources.
• Mentor and train junior data processors; ensure quality standards.

Skills

Data processing

SPSS syntax

Data validation

Data weighting

Data merging

Cross-tabulations

Table creation

Mentoring

Quality assurance

Analytical thinking

Project management

Communication

Tools

SPSS

Job description

Ronin International in the Philippines is seeking a Senior Data Processor to handle accurate and timely processing of market research data. You will validate, clean, weight, merge, and recode survey data, producing client-specific tables and outputs, and ensuring adherence to project specs.

You will also mentor and train junior team members, share best practices, and help raise data quality standards across the processing team, contributing to automation initiatives wherever possible.