Data Scientist, Analyst

Oceans

. Build, maintain, and optimize marketing data pipelines using Funnel and Google BigQuery .

Posted 11/10/2026full-timeSri LankaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in marketing measurement, performance analytics, and statistical modeling, with a strong focus on data pipeline optimization and integration. Proficient in utilizing tools like Google BigQuery, Tableau, and Google Analytics 4 to deliver actionable insights and support data-informed marketing decisions.

Highest-signal resume keywords

Marketing MeasurementPerformance AnalyticsStatistical ModelingGoogle BigQueryTableau

ATS Keywords

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Hard Skills

Data Pipeline OptimizationData Schema NormalizationMarketing AttributionPredictive ModelingCausal InferenceConversion MeasurementData Quality TroubleshootingMulti-Touch Attribution ModelsGA4 AnalysisGTM Implementation

Soft Skills

Detail-OrientedSelf-DirectedClear Communication

Tools & Technologies

FunnelSupermetricsGoogle Analytics 4Google Tag ManagerBionicSkai

Industry Keywords

Marketing Mix ModelingData WarehousingPerformance ReportingAnalytics IntegrationClient Stakeholder Collaboration

Tech Stack

Tools & technologies

BigQueryTableau

About the role

Key responsibilities & impact

Build, maintain, and optimize marketing data pipelines using Funnel and Google BigQuery
Integrate marketing, advertising, and analytics data feeds into unified schemas
Standardize data structures across client reporting repositories and data warehouses
Troubleshoot and resolve data quality anomalies, pipeline errors, and discrepancies
Support migration from Funnel to Supermetrics
Maintain technical documentation of data workflows, pipelines, and schema architectures
Design and maintain Tableau dashboards for internal teams and client stakeholders
Produce recurring marketing performance reports and translate multi-channel data into business narratives
Identify and communicate performance trends, anomalies, and optimization opportunities
Ensure accuracy, QA verification, and consistency across client reporting deliverables
Analyze website traffic, engagement, and conversion funnels with GA4
Support GTM tag implementation, trigger configuration, and tracking QA
Audit website tracking setups and remediate measurement gaps
Ensure reliable event, parameter, and conversion tracking
Develop, maintain, and support multi-touch marketing attribution models
Contribute to Marketing Mix Modeling and econometric evaluations
Apply statistical analysis, predictive modeling, and causal inference to assess marketing effectiveness
Evaluate relationships between marketing investments and business outcomes and provide practical recommendations
Integrate media planning and campaign data from Bionic and Skai into centralized data warehouses
Analyze relationships between media spend, website performance, and revenue outcomes
Support analytics, data modeling, measurement, and reporting for the Kaleidoscope AIO/SEO analytics engine
Collaborate with media and account teams on data-informed marketing allocation decisions
Work directly with the client’s Analytics Manager and collaborate with the COO, analytics team, media planners, and account managers

Requirements

What you’ll need

Proven experience in marketing measurement, performance analytics, and statistical modeling, ideally within an agency or multi-client setting
Hands-on experience with Funnel or Supermetrics, Google BigQuery, Tableau, Google Analytics 4 (GA4), and Google Tag Manager (GTM)
Familiarity with 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 approach
Ability to troubleshoot complex data pipelines
Ability to communicate technical findings clearly to non-technical stakeholders
Ability to work a split shift with some overlap with the client’s time zone
Expected to be present for in-person training programs during the first 3.5 weeks

Benefits

Comp & perks

In-person training programs during the first 3.5 weeks
Benefits and compensation information shared during the offer process
Career growth and development support
Guidance and support from an Operations Manager
Opportunities to work with global industry leaders and expand skills and expertise