Competitive Intelligence Lead

Meta; Boston (MA); On-site; USD 147,000 - 208,000; Full time

Job summary

Meta’s Competitive Intelligence team seeks an analyst who merges analytics, data science, and market strategy to influence product direction. You will work on major initiatives with high ambiguity and complex technical needs, translating insights into strategic decisions.

You will synthesize 3P datasets, build models, and deliver actionable forecasts to shape how Meta builds and grows its products. Strong communication to both technical and non-technical stakeholders is essential.

Qualifications

• Bachelor's degree in business intelligence, product analytics, or economic/strategy consulting in a tech environment.
• Demonstrated skill to ethically source, validate, and synthesize high-signal insights from people with privacy and integrity.
• Proficiency in Generative AI tools and prompt engineering to automate data analyses and synthesize insights.
• Practical working understanding of data-analytics tools and experience managing 1P and 3P datasets.
• Experience with SQL, Python, and/or R for data querying and analysis.
• Experience with causal inference and Bayesian aggregation methods.
• Strong communication and stakeholder presentation skills.
• Ability to thrive in ambiguous environments and shape new analytics organizations or products.

Responsibilities

• Influence product direction through data-driven narratives and competitive landscape understanding.
• Operate at scale across ambiguous environments with econometrics knowledge.
• Develop statistical models and forecasts to inform market and business strategy.
• Onboard and evaluate 3P datasets for signal quality and predictive power.
• Triangulate data from multiple sources of imperfect information.
• Synthesize signals into high-fidelity trend reports using Bayesian methods.
• Apply quasi-experimental designs to assess market shocks and actions on internal metrics.
• Drive adoption of appropriate methods and best practices across the team.

Skills

Causal inference

Bayesian methods

Statistical analysis

Communication skills

Ambiguity handling

Strategic thinking

Education

Bachelor's degree in relevant field

Master's or Ph.D. in quantitative field

Tools

SQL

Python

R

Job description

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.

Competitive Intelligence Lead 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.
• As a quantitative market‑strategist, you will blend practical and applied understanding with technical expertise, including pressure‑testing data for quality, reliability, understanding data biases and being solution‑driven.
• Analytics Leadership: Conduct analyses with 3P datasets, develop statistical models and forecasts, and deliver actionable insights that inform market and business strategy.
• These include, but are not limited to:
• 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 that raise the bar for the entire team.

Minimum 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 (e.g., stakeholder interviews, skilled conversations, field research, and relationship‑based information gathering) while maintaining high standards for privacy, consent, and integrity
• Proficiency in AI‑powered tools: Demonstrate working knowledge of Generative AI technologies (e.g., LLM and AI agents) and experience designing, prompting, and orchestrating AI systems (e.g., prompt engineering) to automate data analyses, synthesize insights, and execute multi‑step analytical tasks (e.g., prompting agent to clean datasets, build visualizations)
• 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 (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R)
• Experience with statistical analysis, including causal inference (e.g., randomized control trials, quasi‑experimention such as synthetic control, diff‑in‑diff, meta‑analyses) and/or bayesian aggregation (e.g., bayesian pooling, hierarchical modeling)
• 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

Preferred Qualifications:

• Master's or Ph.D. Degree in a quantitative field such as Quantitative Economics or Political Science, Operations Research, Data Science, Computer Science, Physics, Business, or Mathematics
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Aff… (``...the original EEO paragraph continues exactly as provided``) 

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

$147,000/year to $208,000/year + bonus + equity + benefits.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.