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Competitive Intelligence Lead

Meta· Data Center Operations
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Hybrid (Menlo Park, CA)$147k - $208kFull-timePosted 3w ago

About the role

Analyst role in Meta’s Competitive Intelligence organization blending analytics, data science, and market strategy to drive product and business decisions. Hands-on, high-impact position that requires translating complex insights into actionable recommendations and partnering with cross-functional teams.

Responsibilities

  • Market Strategy: Influence organization-level product direction through data-driven narratives and an in-depth understanding of the competitive landscape.
  • Demonstrated experience operating at scale, and across ambiguous environments with working knowledge of econometrics.
  • Analytics Leadership: Conduct analyses with 3P datasets, develop statistical models and forecasts, and deliver actionable insights that inform market and business strategy.
  • 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 analyses to increase the accuracy of forecasts and better understand market trends.
  • Technical & Methodological Knowledge: Demonstrated knowledge in relevant technical or methodological areas (e.g., causal inference, Bayesian aggregation), driving the adoption of appropriate methods and organization-wide best practices.

Qualifications

  • Bachelors degree and a minimum of 4 years of work experience (minimum of 2 years with a Ph.D.) in business intelligence, product analytics, or economic/strategy consulting in a technology environment with increasing scope and impact
  • Demonstrated skill to ethically source, validate, and synthesize high-signal insights from people while maintaining high standards for privacy, consent, and integrity
  • Proficiency in AI-powered tools: Working knowledge of Generative AI technologies and experience designing, prompting, and orchestrating AI systems 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 (SQL), scripting languages (Python), and/or statistical/mathematical software (R)
  • Experience with statistical analysis, including causal inference and/or Bayesian aggregation
  • Demonstrated 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

Skills

Required:Market analysis and storytellingData onboarding and integrationStatistical modeling and forecastingCausal inference and quasi-experimental designsSQL, Python, RCommunication with stakeholders
Nice to have:Bayesian aggregation

Benefits

  • Health, vision, dental, and other standard Meta benefits
  • Equity and bonus potential
  • Flexible work arrangements as applicable
Last updated Oct 23, 2026. Interested? Apply on the company site.

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