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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Creative Analytics Framework development, advanced modeling techniques, and cross-functional collaboration to drive marketing optimization. Proficient in Python, SQL, and distributed frameworks to enhance data-driven decision-making in advertising.
Highest-signal resume keywords
Python ProgrammingSQL ProficiencyAdvanced Modeling TechniquesCausal InferenceA/B Testing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Creative Performance ModelingIncremental Value IdentificationFunnel Event OptimizationPropensity ModelsUplift ModelsConversion Lag PredictionData Pipeline CollaborationMarketing Attribution Data AnalysisExperiment DesignBidding Optimization
Soft Skills
Cross-Functional CollaborationBusiness Hypothesis DevelopmentComfort Working Without Direct Control
Tools & Technologies
DatabricksMarTechETL ToolsAdvertising NetworksCRM Systems
Industry Keywords
Creative AnalyticsMarketing MeasurementMedia BuyingRecommender SystemsApplied Machine Learning
Tech Stack
Tools & technologiesETLPythonSparkSQL
About the role
Key responsibilities & impact- Design, own and develop the Creative Analytics Framework and creative performance modeling
- Drive creative analytics findings into decisions with creative and media-buying teams
- Automate detection, reporting and action with MarTech
- Build models separating creative causal impact from algorithmic delivery decisions and predict incremental creative efficiency drivers
- Predict conversion lag and connect current spend to conversions that have not yet occurred
- Improve predicted conversion value signals sent to Google and Meta through value-based bidding
- Iterate on funnel events and predictions used for bidding optimization
- Create customer uplift models to identify incremental value and build more efficient audiences
- Provide prospecting seeds, remarketing audiences and exclusion lists to advertising networks
- Collaborate with Data Engineering and Applied AI on scalable data pipelines, ETL evolution, and new tools and frameworks
- Work cross-functionally with MarTech, marketing measurement, tracking and CRM teams
Requirements
What you’ll need- Python, SQL and a distributed framework like Spark; Preply uses Databricks
- Experience with marketing or attribution data
- Working understanding of how bidding platforms consume the signals sent to them
- Advanced modelling, including propensity models and uplift models
- Causal inference and experiment design
- Ability to turn business hypotheses into testable approaches
- Comfort working across teams without direct control
- Interest in marketing bidding and optimization behavior
- Experience in marketing DS, ads ML, recommender systems, or applied ML where model outputs fed another algorithm
- Experience with A/B testing on large data-sets
- Based in Barcelona or willing to relocate with support
Benefits
Comp & perks- A generous monthly allowance for lessons on Preply.com
- Learning & Development budget
- Time off for self-development
- Competitive financial package with equity
- Leave allowance
- Health insurance
- Attractive relocation package to join the Preply Barcelona Hub
- Free mental health support platforms
- Gympass-partnered wellness and gym centers throughout Spain