Senior Analyst Competitive Intelligence

About the Role

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. This is a hands-on, high-impact role for builders who thrive on solving real problems. This role demands a unique blend of analytical and statistical expertise, strategic thinking, and the ability to translate complex insights into impactful product and business decisions. 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.

Senior Analyst Competitive Intelligence Responsibilities

• Market Strategy: Influence organization-level product direction through data-driven narratives and an in-depth understanding of the market landscape. Demonstrated experience operating at scale, and across ambiguous environments with working knowledge of econometrics. As a quantitative market-strategist, you will blend practical and applied understanding with technical expertise, including pressure-testing data for quality, reliability, understanding data biases, and being solution-driven.
• Analytics Leadership: Conduct advanced analyses with 3P datasets, develop statistical models and forecasts, and deliver actionable insights that inform market and business strategy. These include, but are not limited to:
  • Data onboarding: Identify, onboard, and rigorously evaluate 3P datasets to determine their signal-to-noise ratio and predictive power.
  • Data triangulation: Triangulate data from many sources of imperfect information. Synthesize multiple, low-fidelity 3rd-party signals into a single high-fidelity trend report using Bayesian aggregation or other methods.
  • Data transformation: Apply quasi-experimental designs (e.g., synthetic control, diff-in-diff) to isolate the impact of exogenous market shocks and competitor actions on internal performance metrics, using 3rd-party behavioral and economic datasets.
  • Insight and implications: Apply guidance from such analyses to increase the accuracy of forecasts and better understand market trends.
• Technical & Methodological Expertise: Act as a recognized professional in a technical or methodological area (e.g., causal inference, Bayesian aggregation), driving the adoption of advanced methods and organization-wide best practices that raise the bar for the entire team.
• Data Governance & Quality: Ensure data privacy, security, and compliance with organizational standards. Champion data quality frameworks and documentation practices that enable credible, reproducible analyses.
• Resourceful, adaptable professional with a bias for action.

Minimum Qualifications

• 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 (e.g., prompting an agent to clean datasets, build visualizations).
• 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 Bayesian aggregation (e.g., Bayesian pooling, hierarchical modeling).
• Demonstrated experience synthesizing complex information into executive-level insights and driving cross-functional influence.
• Superb communication skills and experience presenting complex findings to both technical and non-technical stakeholders.
• Demonstrated experience thriving in ambiguous environments and shaping new analytics organizations or products.
• Demonstrated understanding of data privacy regulations and experience working within compliance frameworks. Commitment to ethical data use and responsible analytics.

Preferred Qualifications

• Master's or Ph.D. Degree in a quantitative field such as Quantitative Economics or Political Science, Operations Research, Data Science, Computer Science, Physics, Business, or Mathematics.
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements).
• 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.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com. $177,000/year to $247,000/year + bonus + equity + benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Key skills/competency

• Competitive Intelligence
• Market Strategy
• Data Science
• Advanced Analytics
• Statistical Modeling
• Causal Inference
• Econometrics
• Generative AI
• Python
• SQL