Senior Marketing Data Analyst

talentC

. Manage data extraction from ad networks, MMPs (Adjust, AppsFlyer), and analytics tools (GA4) via Improvado into Google BigQuery .

Posted 10/9/2026full-timeRemote • FranceSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in data analytics with a strong focus on SQL, Python, and R for building predictive models and conducting marketing analytics. Proficient in managing data extraction processes and creating interactive dashboards using Tableau, while ensuring data accuracy and effective communication with stakeholders.

Highest-signal resume keywords

SQL (BigQuery)Python or RTableau Dashboard DevelopmentImprovado Data ExtractionLTV and CAC Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsPredictive ModelingCohort AnalysisChurn CalculationMarketing Analytics MetricsData TransformationStatistical ModelingData Quality AssuranceMulti-Touch AttributionFunnel Analysis

Soft Skills

Effective CommunicationProblem SolvingAttention to DetailProactive ApproachCollaboration

Tools & Technologies

Google BigQueryImprovadoTableauGA4AdjustAppsFlyerGCPCloud FunctionsComposer/AirflowDbt

Industry Keywords

Digital AdvertisingPerformance MarketingData ExtractionMarketing MetricsA/B Testing

Tech Stack

Tools & technologies

AirflowBigQueryCloudGoogle Cloud PlatformPythonSQLTableau

About the role

Key responsibilities & impact

Manage data extraction from ad networks, MMPs (Adjust, AppsFlyer), and analytics tools (GA4) via Improvado into Google BigQuery
Monitor pipeline health and identify broken feeds, delayed loads, and schema changes
Build and maintain SQL transformations and data models in BigQuery
Establish correct relationships across multiple data sources
Write documented, reusable SQL, Python, and/or R queries and scripts
Calculate and model LTV by cohort, channel, and campaign
Own churn calculation and reporting
Build predictive models for churn and LTV
Run cohort and retention curve analysis
Analyze CAC, CAC:LTV ratios, ROAS, and ROI by channel and campaign
Conduct funnel and conversion drop-off analysis
Support multi-touch and incrementality attribution modeling
Produce revenue, spend, and user-growth forecasts
Contribute to media mix and budget allocation modeling
Design and maintain interactive Tableau dashboards blending multiple data sources
QA dashboards and reports for accuracy before delivery to clients and stakeholders
Take ownership of data accuracy from source to dashboard
Proactively flag anomalies, discrepancies, risks, blockers, and caveats
Partner with UA/performance marketers, clients, and stakeholders to define KPIs and refine reporting frameworks
Provide clear and prompt status updates and communicate data issues to non-technical stakeholders
Become fluent in the Improvado → BigQuery → Tableau pipeline and dashboard suite within the first 90 days
Implement at least one process improvement, automation, or QA safeguard independently within the first 90 days

Requirements

What you’ll need

5–8 years of experience in data analytics, ideally within marketing, digital advertising, or performance-driven environments
Strong SQL (BigQuery) and working proficiency in Python or R
Hands-on experience with Improvado or a comparable UI-based data extraction tool
Advanced Tableau skills, including multi-source dashboards with correct data relationships
Experience with Adjust, AppsFlyer, GA4, and major ad networks
Solid grasp of LTV, CAC, churn, ROAS, retention/cohort analysis, and marketing analytics metrics
Comfortable building basic predictive/statistical models, such as churn or LTV prediction, using SQL, Python, or R
Demonstrated track record of catching mistakes before they ship
Comfortable working with minimal supervision and proposing solutions
Excellent written and verbal English
Experience designing and analyzing A/B tests is a bonus
Familiarity with GCP tooling beyond BigQuery, including Cloud Functions, Composer/Airflow, and dbt, is a bonus
Deeper machine learning experience for predictive analytics is a bonus
Additional languages beyond English are a bonus

Benefits

Comp & perks

High-trust, high-autonomy role
Opportunity to own the marketing data pipeline end-to-end
Additional languages beyond English valued as a bonus