Product Growth Lead: Data-Driven Strategy & Experiments

Meta; Springfield (IL); On-site; USD 134,000 - 189,000; Full time

Job summary

Meta is seeking a Growth Product Analyst to lead data-driven growth across major products used by billions. You will embed with product teams, design experiments, analyze user behavior, and influence strategy with measurable impact.

Responsibilities include owning experiments from hypothesis to launch, collaborating with engineers, designers and data scientists, and turning complex data into actionable insights for long-term growth and cross-team alignment.

Qualifications

• 4+ years of experience in analytics or product roles.
• 4+ years of experience with SQL querying and data analysis.
• Experience solving analytical problems, defining metrics, and leading data-driven projects.
• Strong collaboration across technical and non-technical teams.
• Experience working with diverse product teams including engineers, designers, PMs and data scientists.
• Proficiency in quantitative analysis to derive actionable insights.

Responsibilities

• Lead growth strategy across a large product area and drive cross-team alignment.
• Drive long-term growth through data analysis, ideation, and experimentation.
• Analyze trends in user behavior to influence growth strategy.
• Identify growth opportunities and prioritize for long-term impact.
• Execute projects with engineering and product teams; design tests and land launch decisions.

Skills

Data analysis

Experiment design

Growth strategy

Cross-functional collaboration

Product ideation

Multidisciplinary teamwork

Quantitative analysis

Open-ended problem solving

User behavior analysis

Tools

SQL

Job description

Meta is seeking a Growth Product Analyst to lead data-driven growth across major products used by billions. You will embed with product teams, design experiments, analyze user behavior, and influence strategy with measurable impact.

Responsibilities include owning experiments from hypothesis to launch, collaborating with engineers, designers and data scientists, and turning complex data into actionable insights for long-term growth and cross-team alignment.