Marketing Insights Researcher

Instagram is seeking a Marketing Insights Researcher to help shape how the company understands the effectiveness of its marketing investments and communicates value to internal and external stakeholders. In this role, you will design and lead research that measures brand health, campaign performance, and audience perception across Meta's family of apps and services. You will translate complex data into clear, actionable insights that inform marketing strategy, creative decisions, and go-to-market planning at scale.

Responsibilities

• Design and execute primary research studies — including surveys, qualitative interviews, and mixed-method approaches — to evaluate marketing campaign effectiveness and brand perception
• Collaborate with analytics functions and research on measurement frameworks that connect marketing activity to brand health metrics, audience sentiment, and business outcomes
• Synthesize findings from multiple data sources, including quantitative survey data, social listening, and third-party research panels, into cohesive strategic narratives
• Partner with marketing, creative, and product teams to define research questions and translate insights into actionable recommendations and advertising creative
• Lead end-to-end research projects from scoping and methodology design through fieldwork, analysis, and stakeholder presentation
• Identify trends in consumer attitudes and media consumption behaviors that inform Instagram's marketing positioning across platforms
• Communicate research findings to cross-functional partners and leadership through written reports, presentations, and executive briefings
• Evaluate and manage relationships with external research vendors, ensuring methodological rigor and data quality

Minimum qualifications

• 6+ years of experience in marketing research, consumer insights, or brand measurement, including primary quantitative and qualitative research design
• Experience designing and analyzing brand tracking studies, campaign effectiveness research, or audience segmentation studies
• Experience translating complex research findings into clear strategic recommendations for marketing or business stakeholders
• Experience managing multiple research projects simultaneously, including vendor oversight and quality control
• Proficiency with statistical analysis and survey research tools (e.g., SPSS, R, or equivalent platforms), qualitative research methodologies, and AI Familiarity with advertising effectiveness methodologies such as brand lift measurement, media mix modeling, or attribution research
• Experience working with social listening platforms or digital audience measurement tools to complement primary research
• Experience conducting marketing insights research within a technology, media, or digital advertising context
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Track record of influencing marketing strategy or creative direction through research-driven recommendations at scale
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Preferred qualifications

• Familiarity with advertising effectiveness methodologies such as brand lift measurement, media mix modeling, or attribution research
• Experience working with social listening platforms or digital audience measurement tools to complement primary research
• Experience conducting marketing insights research within a technology, media, or digital advertising context
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Track record of influencing marketing strategy or creative direction through research-driven recommendations at scale
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies