Data Scientist / Analyst

O
Oceans TalentMarketing analytics
Sri Lanka, Split shift with some overlap with our client’s time zone.Full-Time
Salary not disclosed
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Job Details

Required Skills
Google AnalyticsTableau

Requirements

  • Have proven experience in marketing measurement, performance analytics, and statistical modeling.
  • Bring hands-on experience with marketing data pipeline platforms such as Funnel or Supermetrics.
  • Have hands-on experience with Google BigQuery and data warehouse schema normalization.
  • Have hands-on experience building dashboards in Tableau.
  • Have hands-on experience with Google Analytics 4 and Google Tag Manager.
  • Understand marketing attribution, Marketing Mix Modeling, predictive or causal modeling, and conversion measurement.
  • Be methodical, detail-oriented, and self-directed when troubleshooting complex data pipelines.
  • Communicate technical findings clearly to non-technical stakeholders.
  • Be able to work a split shift with some overlap with the client’s time zone and attend in-person training during the first 3.5 weeks.

Responsibilities

  • Build, maintain, and optimize marketing data pipelines using Funnel and Google BigQuery.
  • Integrate marketing, advertising, and analytics data feeds into unified schemas and maintain consistent reporting repositories and data warehouses.
  • Troubleshoot data quality anomalies, pipeline errors, and discrepancies, and document workflows, pipelines, and schema architectures.
  • Design and maintain interactive Tableau dashboards and recurring marketing performance reports.
  • Analyze website traffic, engagement, and conversion funnels using Google Analytics 4.
  • Support tag implementation and tracking quality assurance using Google Tag Manager; audit tracking setups and address measurement gaps.
  • Develop and support multi-touch attribution models and contribute to Marketing Mix Modeling and econometric evaluations.
  • Apply statistical analysis, predictive modeling, and causal inference to evaluate marketing effectiveness and communicate practical recommendations.
  • Integrate media planning and campaign data from Bionic and Skai and support analytics for the Kaleidoscope proprietary engine.
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