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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in measurement program ownership, including advanced SQL and Python or R skills, and hands-on experience with incrementality experiments and marketing mix modeling. Capable of building analytical datasets, establishing measurement infrastructure, and translating complex findings into actionable recommendations.
Highest-signal resume keywords
Advanced SQLPython or R SkillsIncrementality Experiment DesignMarketing Mix Modeling (MMM)Cloud Data Warehouses
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Incrementality Experiment AnalysisKPI Framework DevelopmentCohort AnalysisAttribution RulesData Quality ChecksAutomated WorkflowsAnalytical Model BuildingReporting RequirementsStatistical Power AnalysisBudget Scenarios
Soft Skills
Clear CommunicationStrong OwnershipCollaboration with Technical TeamsIndependent Work
Tools & Technologies
SnowflakeBigQueryRedshiftVisualization Tools
Industry Keywords
Marketing ScienceGrowth AnalyticsMeasurement InfrastructureFull-Funnel MediaCustomer DataRevenue Systems
Tech Stack
Tools & technologiesAmazon RedshiftBigQueryCloudPythonSQL
About the role
Key responsibilities & impact- Own the measurement program for a dedicated client engagement
- Audit measurement setup and establish 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
- Build and maintain analytical datasets, SQL queries, automated workflows, and dashboards
- Reconcile platform discrepancies and establish ongoing data quality checks
- Partner with engineering and implementation teams on tracking, integrations, identity matching, and data pipelines
- Own a prioritized incrementality testing roadmap
- Design and execute geo holdouts, matched-market tests, audience holdouts, platform conversion studies, brand lift studies, and controlled A/B experiments
- Establish hypotheses, primary outcomes, power analyses, minimum detectable effects, budgets, test duration, and decision criteria
- Coordinate test execution, monitor test integrity, and deliver readouts explaining incremental impact, uncertainty, business implications, and next steps
- Manage external marketing mix modeling and incrementality partners, including onboarding, data delivery, methodology reviews, and recurring analyses
- Evaluate modeling readiness based on historical data, spend variation, and outcome volume
- Pressure-test model assumptions and outputs, including baseline demand, lagged effects, saturation, and product or market changes
- Combine experiment results, MMM, attribution, and business performance to inform response curves, marginal returns, and budget scenarios
- Build KPI frameworks across awareness, acquisition, activation, conversion, retention, and customer value
- Develop measurement approaches across paid social, search, online video, creators, programmatic, CTV, audio, and offline channels
- Evaluate demand creation effects on search, direct traffic, and subsequent conversion
- Analyze cohorts by acquisition source, market, creative, audience, and customer segment
- Maintain and refine growth forecasts and investment scenarios
- Identify diminishing returns, expansion opportunities, and activation, conversion, retention, or profitability constraints
- Build reporting and lead measurement discussions with internal and client stakeholders
- Translate complex findings into recommendations on what to scale, change, or test next
Requirements
What you’ll need- Ideally 5–6+ years of relevant experience in marketing science, measurement, growth analytics, or a closely related field
- Advanced SQL and strong Python or R skills
- Hands-on experience designing and analyzing incrementality experiments, including geo holdouts, matched-market tests, audience holdouts, lift studies, power analysis, and interpretation of uncertain or inconclusive results
- Practical marketing mix modeling (MMM) experience, including data preparation, modeling partners, methodology evaluation, 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
- Ability to build reliable analytical models and reporting
- Clear communication and strong ownership
- Ability to work independently, collaborate with technical teams, and defend recommendations with evidence
- Ability to work 9 am–5 pm EST
- Clear, fluent English communication with U.S.-based clients and senior stakeholders
- Eligibility to work in the United States of America
- Hands-on experience with geo holdouts, matched-market tests, audience holdouts, or lift studies
- Experience working with MMM, either building models or managing a modeling vendor/partner
- Experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift
- Experience building or maintaining measurement infrastructure from scratch
- Experience in an agency, consultancy, or client-facing environment
Benefits
Comp & perks- Unlimited PTO + US holidays
- Remote-first culture
- Hybrid work with weekly in-office time for employees based in or near the New York or Lisbon HQs
- Company-sponsored medical, dental, and vision coverage
- 401(k) program with company match
- Profit-sharing opportunities
- Flexible parental leave
- Interdisciplinary growth and professional development opportunities