Responsibilities

• Data architecture and measurement infrastructure
• Audit the existing measurement setup and establish the architecture connecting media delivery, web and app activity, customer behavior, and revenue.
• Define event taxonomies, campaign naming conventions, KPI definitions, attribution rules, and reporting requirements so teams work from consistent, reliable data.
• Build and maintain analytical datasets, SQL queries, automated workflows, and dashboards. Reconcile discrepancies across platforms and establish ongoing data quality checks.
• Partner with engineering and implementation teams on tracking, integrations, identity matching, and data pipelines, owning measurement requirements and validating implementation.
• Incrementality and experimentation
• Own a prioritized testing roadmap tied to business growth questions, including channel incrementality, audience and geographic expansion, creative effectiveness, and downstream customer quality.
• Design and execute geo holdouts, matched-market tests, audience holdouts, platform conversion and brand lift studies, and controlled A/B experiments.
• Establish hypotheses, primary outcomes, power analyses, minimum detectable effects, budgets, test duration, and decision criteria before launch.
• Coordinate execution with media and client teams, monitor test integrity, and deliver readouts that clearly explain incremental impact, uncertainty, business implications, and recommended next steps.

Requirements

• Ideally 5–6+ years of relevant experience in marketing science, measurement, growth analytics, or a closely related field, with direct ownership of analytical work and experimentation.
• Advanced SQL and strong Python or R skills. You can independently extract, join, clean, validate, and analyze large datasets, and automate recurring work.
• Demonstrated incrementality expertise, including hands-on experience designing and analyzing controlled experiments, applying power analysis, and interpreting uncertain or inconclusive results.
• Practical MMM experience, including preparing data, working with modeling partners, evaluating methodology, and translating findings into investment decisions.
• Experience establishing measurement infrastructure across advertising platforms, web or app analytics, customer data, and revenue systems.
• Strong understanding of full-funnel media, attribution limitations, cohort analysis, CAC, LTV, payback, and contribution margin.
• Experience with cloud data warehouses and visualization tools, with the ability to build reliable analytical models and reporting.
• Clear communication and strong ownership: you can work independently, collaborate with technical teams, and defend a recommendation with evidence.

Preferred

• Measurement programs built from launch or during rapid growth.
• Brand and performance measurement across multiple markets, including channels with limited user-level attribution.
• Subscription, recurring revenue, or other businesses where retention and customer lifetime value guide acquisition decisions.
• Turning forecasts and scenario models into tools teams use for ongoing investment decisions.

Benefits

• Unlimited PTO + US holidays: Rebooting is part of the work. Take the time you need to stay sharp.
• Remote-First Culture: Many roles are fully remote. Employees based in or near our New York or Lisbon HQs are expected to work hybrid with weekly in-office time. Hub locations include Brazil and Spain.
• Health & Wellness: Company-sponsored medical, dental, and vision coverage.
• Finances, growth, and retirement: Darkroom offers a robust 401(k) program with company match and profit-sharing opportunities to help you save and grow as the company grows.
• Parental Leave: Flexible parental leave to support new parents during this important transition.
• Growth: Our interdisciplinary model gives every Darkroomer exposure far beyond their core role. Grow your skills, expand your influence, and stay at the forefront of the industry.