Competitive Intelligence Lead

About the role

As an Analyst in Meta’s Competitive Intelligence organization, you will operate at the intersection of analytics, data science, and market strategy. You will work on major projects and product areas (often in environments of significant ambiguity or technical complexity) to drive 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 knowledge, 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.

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 across ambiguous environments with working knowledge of econometrics.
• As a quantitative market‑strategist, blend practical and applied understanding with technical expertise, including pressure‑testing data for quality and reliability, understanding data biases, and being solution‑driven.
• Analytics Leadership: Conduct analyses with third‑party (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 third‑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 third‑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: Demonstrate knowledge in relevant technical or methodological areas (e.g., causal inference, Bayesian aggregation), driving the adoption of appropriate methods and organization‑wide best practices that raise the bar for the entire team.

Minimum Qualifications

• Bachelor’s 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.
• Demonstr