Measurement analyst - Brand Vertical COE - Marketing Science

Responsibilities

About the Team
The Marketing Science Measurement team is responsible for interpreting the performance of advertising on our platform. We work with advertisers to optimize their activity on the platform and build meaningful connections that help drive behavior change.

About the Role
We are looking for a highly analytical and detail-oriented Data Analyst to join our Marketing Science team. This role is critical in structuring and analyzing complex datasets, running statistical and sales models and translating insights into actionable recommendations. You will work closely with cross-functional partners to validate the impact of marketing investments and guide data-driven decision-making.

Responsibilities:
- Structure, clean and manage large, complex datasets across multiple sources (internal platform, sales, media data and dataset from research vendors).
- Design and execute robust statistical analyses (e.g., regression, time-series, ANOVA, Bayesian models, etc.) to measure marketing and sales impact.
- Build and run sales and marketing effectiveness models (MMM, touch attribution, incrementality, audience insights, causal inference, etc.).
- Quickly identify the right data sources and methodologies to address specific business questions.
- Translate technical findings into clear, business-relevant insights for cross-functional stakeholders (product, sales, etc.).
- Develop automated dashboards and reporting tools to scale insights across the organization.

Qualifications

Minimum Qualifications:
- Bachelor's or Master's degree in Statistics, Econometrics, Data Science, Mathematics, or related field.
- Strong proficiency in SQL and Python and / or R for statistical analysis.
- Experience with BI/visualization tools (e.g., Tableau, Power BI, Looker).
- Strong foundation in statistical modeling and econometrics, with hands-on experience applying methods such as regression, causal inference, DML, Random Forest, and other supervised/ensemble models.
- Familiarity with marketing measurement methods such as MMM, attribution models, experimentation and incrementality based on RCT design or related.
- Strong problem-solving skills: able to frame ambiguous business challenges into structured analytical approaches.
- Excellent communication skills with the ability to distill complex analysis into clear and actionable recommendations.

Preferred Qualifications:
- Minimum 5 years of experience in data analytics, marketing science or applied statistics roles.
- Background in digital marketing, advertising measurement or e-commerce analytics.
- Experience working with third-party datasets (e.g., Nielsen/NIQ, Kantar, retail sales panels, survey data).
- Exposure to big data platforms (Hive, Spark) or cloud environments.
- Demonstrated experience in building scalable measurement frameworks or analyses.
- Strong business acumen, with proven ability to connect analysis to commercial outcomes.
- Ability to balance depth of analysis with speed, adapting approaches depending on business needs.