Senior Analyst (Quantitative Research) - Consumer Insights & Brand

NielsenIQ; Pasig; On-site; PHP 892,800 - 1,339,200; Full time

Benefits offered by this job

Flexible working environment

Volunteer time off

Job summary

NielsenIQ is seeking a Senior Analyst (Quantitative Research) to support the delivery of quantitative research projects in the Philippines, helping clients understand consumers, brands, markets and customer experiences to drive data-driven decisions.

The role involves survey design, data analysis, reporting and client consultation, with emphasis on brand tracking, usage, attitude and image studies. Strong English communication and proficiency in analytical tools are required.

Qualifications

• Bachelor's degree in Statistics, Economics, Mathematics, Marketing, Business Analytics, Data Science, Psychology, Market Research or related field.
• 2-4 years of relevant experience in Quantitative Research, Analytics, Consulting, or Consumer Insights.
• Familiarity with Quantitative Research methodologies such as Brand Health, Tracking, Segmentation, and Customer Satisfaction.

Responsibilities

• Support end-to-end delivery of quantitative research studies, including questionnaire development and data quality checks.
• Oversee project setup and ensure surveys meet timelines and client requirements.
• Validate and analyze survey data and contribute to client reports and data visualizations.
• Lead day-to-day project communication to ensure timely deliverables for stakeholders.

Skills

Quantitative research

Data analysis

English communication

Problem solving

Education

Bachelor's degree in Statistics or related field

Tools

SPSS

R

Python

SQL

Power BI

Tableau

Excel

Job description

Senior Analyst (Quantitative Research) - Consumer Insights & Brand

Employment Type: Full-time

About this Role

The Consulting Senior Analyst - CBI & Brand (Quantitative) supports the delivery of quantitative research projects in the Philippines, while contributing to broader initiatives across the SEA CBI& Brand Customer Success team.

This role plays a key part in executing and delivering high-quality quantitative research, including survey design, data analysis, reporting, and client consultation, to help clients understand consumers, brands, markets, and customer experiences and make data-driven business decisions.

Experience or interest in Brand Tracking, Usage, Attitude and Image Studies, Customer Experience Measurement, Segmentation, Pricing Research or Shopper Research is highly valued and contributes to deeper, more strategic insight development.

Key Responsibilities

Project Execution & Research Support

• Support end-to-end delivery of quantitative research studies, including questionnaire development, survey programming coordination, fieldwork briefing, table specs preparation, charting specs preparation, report preparation and data quality checks.
• Oversee project setup including coordination with Project Management and Operations teams.
• Ensure survey execution adheres to project timelines, quality standards, and client requirements.
• Monitor fieldwork progress and identify potential risks related to sample, quotas, or data quality.

Data Analysis & Insight Generation

• Validate and analyze survey data using statistical and analytical techniques.
• Support interpretation of quantitative findings and contribute to storytelling.
• Conduct secondary research and category analysis to enrich findings as needed.
• Assist in developing client reports, dashboards, presentations, and data visualizations.

Client & Internal Stakeholder Support

• Support the preparation and delivery of client presentations, workshops, and reporting sessions.
• Participate in client briefings, project kick-offs, results presentations, and debrief discussions.
• Lead day-to-day project communication with to ensure timely communication and high-quality deliverables for project stakeholders.
• Proactively consult manager on project issues and seek support as needed.

Quality, Process & Operational Excellence

• Ensure accuracy and integrity of data, analyses, documentation, and project outputs.
• Follow NIQ quality standards and best practices in quantitative research execution.
• Support project tracking and workflow coordination.
• Contribute to improvements in analytical tools, reporting templates, automation, and operational processes.
• Maintain accurate and up-to-date knowledge on research techniques and applications.

Qualifications

• Bachelor's degree in Statistics, Economics, Mathematics, Marketing, Business Analytics, Data Science, Psychology, Market Research, or a related field.
• 2-4 years of relevant experience working in a similar position in Quantitative Research, Analytics, Consulting, or Consumer Insights.
• Familiarity with Quantitative Research methodologies such as Concept Testing, Brand Health Measurement, Usage & Attitude Studies, Customer Satisfaction, Segmentation, and Tracking Studies.
• Knowledge of statistical analysis and survey research principles.
• Strong analytical and problem-solving skills with the ability to interpret large datasets.
• Strong English communication skills with the ability to translate data into business insights.
• Proficiency in PowerPoint and Excel; experience with statistical tools such as SPSS, Q, R, Python, SQL, Power BI, Tableau, or similar platforms is an advantage.

Skills & Competencies

• Strong curiosity about consumer behavior, markets, and business performance
• Analytical mindset with strong numerical and statistical reasoning skills
• Ability to identify patterns, trends, and actionable insights from data
• Effective communicator with developing data storytelling capabilities
• Organized, detail-oriented, and quality-focused
• Collaborative team player with a proactive and solution-oriented mindset
• Eager to learn and develop quantitative research and analytical expertise
• Comfortable working in a fast-paced, multi-market environment
• Ability to understand client’s business needs and objectives

Benefits & Perks

• Flexible working environment
• Volunteer time off

Compliance & Diversity

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/

Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

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