Senior Analyst, Competitive Intelligence Research

Role Overview

As a Senior Analyst in Meta’s Competitive Intelligence organization, you will operate at the intersection of advanced analytics, data science, and market strategy. You will lead major projects and product areas—often in environments of significant ambiguity or technical complexity—driving both technical and business outcomes.

What You Will Do

Market Strategy: Influence organization-level product direction through data-driven narratives and an in-depth understanding of the market landscape. Conduct advanced analyses with 3P datasets, develop statistical models and forecasts, and deliver actionable insights that inform market and business strategy.

Why It Might Be a Fit

This is a hands-on, high-impact role for builders who thrive on solving real problems. You will be recognized as a thought partner by cross-functional leads and will help shape the analytical foundations that inform how we build and grow our products.

Requirements

• Bachelors degree and a minimum of 6 years of work experience (minimum of 4 years with a Ph.D.) in business intelligence, product analytics, or economic or strategy consulting in a technology environment with increasing scope and impact
• Demonstrated skill to ethically source, validate, and synthesize high-signal insights from people (e.g., stakeholder interviews, skilled conversations, field research, and relationship-based information gathering) while maintaining high standards for privacy, consent, and integrity
• Proficiency in AI-powered tools: Demonstrate working knowledge of Generative AI technologies (e.g., LLM and AI agents) and experience designing, prompting, and orchestrating AI systems (e.g., prompt engineering) to automate data analyses, synthesize insights, and execute multi-step analytical tasks
• Practical working understanding of data-analytics tools, and direct experience managing, analyzing, manipulating and interpreting 1P and external 3P datasets
• Experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R)
• Proven experience with statistical analysis including causal inference (e.g., randomized control trials, quasi-experimentation such as synthetic control, diff-in-diff, meta-analyses), and/or bayesian aggregation (e.g., bayesian pooling, hierarchical modeling)
• Demonstrated communication skills and experience presenting complex findings to both technical and non-technical stakeholders
• Demonstrated experience thriving in ambiguous environments and shape new analytics organizations or products

Benefits

• Bonus
• Equity
• Healthcare
• PTO
• Retirement
• Learning budget
• Parental leave
• Wellness
• Visa/relocation
• Remote flexibility
• Stipends