Senior Data Processor

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

The Senior Data Processor is responsible for the accurate, efficient, and timely processing, validation, and delivery of market research data. The role involves working with survey datasets, applying data validation and cleaning procedures, producing client-specific tables and outputs, and performing advanced data processing tasks such as weighting, data merging, and recoding.

The Senior Data Processor also plays an important role in supporting the development of the wider data processing team by mentoring and training junior team members, sharing technical knowledge, and promoting best practices and quality standards.

Key Responsibilities

Data Processing & Validation

• Process and validate data from quantitative market research surveys using SPSS and SPSS syntax.
• Develop and execute SPSS syntax for automated data checks, validation, cleaning, and transformation.
• Identify and investigate data inconsistencies, errors, outliers, and logical issues within survey datasets.
• Apply appropriate data cleaning, recoding, derivation, and transformation procedures.
• Ensure datasets meet project specifications and internal quality standards before delivery.
• Perform quality-control checks on processed data and outputs.

Data Tabulation & Reporting

• Create data tables and tabulations based on client specifications and project requirements.
• Prepare cross-tabulations, banners, filters, breaks, and other analytical outputs.
• Ensure tables accurately reflect questionnaire structure, client requirements, and approved specifications.
• Review tables and outputs for accuracy, consistency, and completeness.
• Make adjustments to tables and processing programs based on client or project team feedback.

Advanced Data Processing

• Perform data weighting according to predefined sample and population targets.
• Merge datasets from different sources, waves, markets, or project components.
• Combine and harmonize data from multiple survey sources while maintaining data integrity.
• Manage multi-country, multi-wave, or complex survey datasets where required.
• Perform variable creation, recoding, derived variables, and other data transformations.
• Support data preparation for advanced analysis and statistical reporting.

Project & Quality Management

• Work closely with Project Managers, Data Analysts, and other internal teams to understand project requirements and deliverables.
• Review project specifications and identify potential data-processing issues at an early stage.
• Manage assigned processing tasks and meet agreed deadlines and quality standards.
• Maintain clear and well‑organized syntax, datasets, and processing documentation.
• Follow established data‑processing procedures and contribute to continuous improvement of processes and workflows.
• Support the development of reusable syntax, templates, and automation solutions to improve efficiency.
• Mentor and support Junior Data Processors, helping them develop their technical and market research knowledge.
• Provide training on SPSS, data validation, tabulation, weighting, merging, and other data‑processing techniques.
• Review work produced by junior team members and provide constructive feedback.
• Help establish and promote best practices for data processing and quality control.
• Act as a technical point of reference for less experienced members of the team.
• Contribute to onboarding and training programs for new team members.

Required Skills & Experience

• Previous experience in data processing within the market research industry.
• Strong knowledge of SPSS, particularly SPSS syntax.
• Strong understanding of survey questionnaires, variables, coding, and data structures.
• Practical experience with data validation, cleaning, recoding, weighting, and data merging.
• Experience creating cross‑tabulations and client‑specific tables.
• Strong attention to detail and commitment to data accuracy.
• Ability to interpret technical specifications and translate them into appropriate data‑processing solutions.
• Strong analytical and problem‑solving skills.
• Ability to manage multiple projects and deadlines effectively.
• Good written and verbal communication skills.
• Experience mentoring or training junior colleagues is highly desirable.

Personal Attributes

• Highly detail-oriented and quality-focused.
• Structured and methodical approach to work.
• Strong problem‑solving mindset.
• Proactive in identifying and resolving data or process issues.
• Able to work independently while collaborating effectively with project teams.
• Comfortable working with complex datasets and tight deadlines.
• Willingness to share knowledge and support the development of colleagues.
• Continuous‑improvement mindset, with an interest in automation and process optimization.

Key Success Measures

Success in this role will be measured through:

• Accuracy and quality of processed datasets and tables.
• Timely completion of assigned projects and deliverables.
• Effective implementation of client specifications.
• Quality and robustness of SPSS syntax and processing solutions.
• Reduction of processing errors and rework.
• Effective mentoring and development of junior team members.
• Contribution to improved data‑processing efficiency and automation.