Data Scientist / Analyst
About the role
As a Data Scientist / Analyst at Oceans, you will join a full-service marketing agency to deliver integrated analytics solutions for a diverse client portfolio. The role involves building and maintaining marketing data pipelines, designing actionable reporting, supporting attribution and econometric modeling, and working with proprietary analytics engines. You will collaborate with analytics managers, senior team members, and media planners to ensure robust data infrastructure and deliver advanced statistical models that inform strategic marketing decisions. The ideal candidate has proven experience in marketing measurement, performance analytics, and statistical modeling, with hands-on expertise in tools such as Funnel or Supermetrics, Google BigQuery, Tableau, GA4, and GTM. The position is remote, with an initial in-person training period, and offers opportunities for career growth and development within a creative and analytical environment.
Must have
- Proven experience in marketing measurement, performance analytics, and statistical modeling, ideally within an agency or multi-client setting
- Hands-on experience with marketing data pipeline platforms (Funnel or Supermetrics), Google BigQuery, Tableau, Google Analytics 4 (GA4), and Google Tag Manager (GTM)
- Familiarity with media data platforms such as Bionic and Skai is a strong advantage
- Strong understanding of marketing attribution, Marketing Mix Modeling (MMM), predictive or causal modeling, conversion measurement, and data warehouse schema normalization
- Methodical, detail-oriented, and self-directed, with the ability to troubleshoot complex data pipelines and communicate technical findings to non-technical stakeholders with clarity
Technologies
- BigQuery
- Causal Inference
- Data Engineering
- Data Modeling
- Data Pipelines
- Data Visualization
- Data Warehousing
- Google Analytics
- Google Tag Manager
- Predictive Modeling
- SEO
- Tableau
Highlights
This is a remote role, but requires attendance for in-person training during the first 3.5 weeks. Applicants should only apply for one position at Oceans per year. The role involves a split shift with some overlap with the client's time zone. Details about benefits and compensation will be shared during the offer process.
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