Senior Market Intelligence & Analytics Lead

Meta; San Francisco (CA); On-site; USD 140,000 - 230,000; Full time

Job summary

Meta is seeking a Competitive Intelligence Lead to drive market strategy through advanced analytics, econometrics, and AI‑powered methods. This hands‑on role blends data science with business leadership to shape product direction and performance insights across teams.

The position requires proficiency in SQL, Python, R, and Generative AI tools, plus strong communication with technical and non‑technical stakeholders.

Qualifications

• Bachelor's degree required; 6+ years in BI, product analytics, or econ/strategy consulting in tech.
• Ethical data sourcing and synthesis with privacy integrity.
• Experience with Generative AI tech, prompting, and AI system orchestration.
• Proficiency with SQL, Python, R for data analysis and visualization.
• Experience communicating complex findings to technical and non‑technical stakeholders.
• Ability to thrive in ambiguity and shape analytics organizations or products.

Responsibilities

• Lead analytics projects and translate insights into product strategy.
• Develop statistical models and forecasts using 3P datasets.
• Onboard, evaluate, and harmonize external datasets for signal quality.
• Triangulate data from diverse sources to produce high‑fidelity trend reports.
• Apply quasi‑experimental designs to isolate market shocks and actions.
• Promote data governance and reproducible analyses across the team.
• Communicate insights clearly to cross‑functional stakeholders.

Skills

SQL

Python

R

Generative AI concepts

Stakeholder communication

Ambiguity handling

Education

Bachelor's degree

Master's or PhD

Tools

AI orchestration tools

Bayesian methods

Job description

Meta is seeking a Competitive Intelligence Lead to drive market strategy through advanced analytics, econometrics, and AI‑powered methods. This hands‑on role blends data science with business leadership to shape product direction and performance insights across teams.

The position requires proficiency in SQL, Python, R, and Generative AI tools, plus strong communication with technical and non‑technical stakeholders.