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Competitive Intelligence Lead

Meta· Analytics
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Bellevue, WA, Hybrid (Multiple locations)$177k - $247kFull-timePosted 4mo ago

About the role

Lead major competitive intelligence initiatives at Meta, blending advanced analytics, data science, and market strategy to inform product and business decisions. Hands-on, high-impact role shaping analytical foundations and working across cross-functional teams.

Responsibilities

  • Market Strategy: Influence organization-level product direction through data-driven narratives and an in-depth understanding of the market landscape. Operate at scale in ambiguous environments; apply econometrics knowledge and ensure data quality, reliability, and awareness of biases.
  • Analytics Leadership: Conduct advanced analyses with 3P datasets, develop statistical models and forecasts, and deliver actionable insights for market and business strategy.
  • Data onboarding: Identify, onboard, and rigorously evaluate 3P datasets for signal-to-noise and predictive power.
  • Data triangulation: Triangulate data from multiple sources, synthesizing low-fidelity 3rd-party signals into high-fidelity trend reports using methods like Bayesian aggregation.
  • Data transformation: Apply quasi-experimental designs (synthetic control, diff-in-diff) to isolate impacts of market shocks and competitor actions on internal metrics using external datasets.
  • Insight and implications: Translate analyses into improved forecasts and understanding of market trends.
  • Technical & Methodological Expertise: Champion advanced methods and best practices (e.g., causal inference, Bayesian aggregation) across the organization.
  • Data Governance & Quality: Ensure data privacy, security, and compliance; promote data quality frameworks and reproducible analyses.
  • Resourceful, adaptable professional with a bias for action.

Qualifications

  • Bachelor’s degree and at least 6 years of work experience (minimum 4 years with a Ph.D.) in business intelligence, product analytics, or economic/strategy consulting in tech with growing scope and impact
  • Proven ability to ethically source, validate, and synthesize high-signal insights while maintaining privacy and integrity.
  • Proficiency with AI-powered tools: knowledge of Generative AI technologies and experience designing prompts and orchestrating AI systems to automate analyses and insights.
  • Practical experience with data analytics tools and managing/analyzing 1P and external 3P datasets.
  • Experience with SQL, Python, and/or R.
  • Experience with statistical analysis including causal inference and Bayesian aggregation.
  • Strong communication skills for presenting to technical and non-technical stakeholders.
  • Proven ability to thrive in ambiguous environments and shape new analytics organizations or products.

Skills

Required:Data querying (SQL)PythonCausal inference
Nice to have:R

Benefits

  • Base compensation, bonus, equity, and benefits as per Meta's offerings.
Last updated Oct 23, 2026. Interested? Apply on the company site.

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