3,022,130View users
Where do users drop before purchase?
Independent portfolio case studyEditorial growth lab
Apprenticeship · 2026–2027Based in Paris · National mobility
I find where growth leaks — and what to do next.
Marketing Data Analyst connecting acquisition, conversion, retention and profitability data to clearer growth decisions.
AcquisitionConversionRetentionProfitability
Evidence ledger
Scale is context. Decisions are the output.
Selected evidence from independent portfolio case studies, with scope and ownership documented on every project page.
Professional experience
The path from digital execution to marketing intelligence.
Three professional chapters show a deliberate progression from campaign execution to reporting, data preparation and BI delivery.
- Digital execution
- Marketing reporting
- Data & BI foundation
- Marketing Data Analytics direction
Digital execution
May 2024 – Aug 2024Internship · Paris, Île-de-France, France
Vapoa
Digital Marketing InternSelected responsibilities
- Supported digital campaigns and content production.
- Monitored website traffic, audience engagement and market trends.
Marketing reporting
Sep 2024 – Aug 2025Apprenticeship · Strasbourg, Grand Est, France
Biofa France
Assistant Digital Marketing & Data ReportingSelected responsibilities
- Reported on traffic, acquisition, engagement and conversion.
- Centralized, cleaned and documented marketing data and KPI definitions.
- Turned campaign and channel analysis into optimization recommendations.
Data & BI foundation
Mar 2026 – Aug 2026Latest experienceInternship · Paris, Île-de-France, France
My Job Glasses
Data & BI AnalystSelected responsibilities
- Defined client KPIs from reporting needs.
- Prepared and validated data with SQL and ETL workflows.
- Built, tested, documented and delivered Tableau dashboards for performance monitoring.
Direction
Marketing Data AnalyticsConnecting acquisition, conversion, retention and profitability questions to decision-ready analysis.Selected case studies
Four growth questions. Four different analytical decisions.
Independent portfolio work demonstrating how acquisition, conversion, retention, profitability and data reliability become marketing priorities.
Independent portfolio case study
Observed signal / strict user funnel
- 01
View users
3,022,130 - 02
Cart users
336,718 - 03
Purchase users
196,474
D
Analytical interpretation
Only 11.14% of viewers add to cart, while 58.35% of cart users complete a purchase. The primary conversion bottleneck is therefore product view → add-to-cart, not checkout.→
Decision / recommendation
A/B test product page CTAs and add-to-cart visibilityDataset noteExternal event-level e-commerce data used for analytical demonstration. The full dataset is excluded from the repository because of its size; a sample, aggregated outputs and methodology documentation are provided. This is not a client engagement.
Independent portfolio case study
Business question
Which customers should CRM prioritize?
Observed signal / customer concentration
27.9% customers75.4% revenue
- Analytical interpretation
- Revenue is highly concentrated: VIP customers (27.9%) drive 75.4% of revenue, while Lost customers (23.62%) contribute only 2.95% — clear CRM prioritization signals.
- Decision / recommendation
- VIP retention: loyalty programs, exclusive offers, proactive account management
Dataset noteSynthetic but business-realistic e-commerce order data generated with Python. The dataset contains 5,000 simulated customers and 45,356 orders and does not represent a real company.
Complete case studyIndependent portfolio case study
Business question
Where is margin being destroyed?
Observed signal / commercial diagnosis
- Profit
- €214,041
- Avg. discount
- 17.39%
- Loss-making order rate
- 16.01%
- Analytical interpretation
- Margin leak is concentrated in Electronics / EU, and high discount levels systematically reduce margin.
- Decision / recommendation
- Review discount policy on Electronics in EU — highest margin erosion zone
Dataset noteSynthetic e-commerce order data generated with Python. The analysis covers 12,000 simulated orders and does not represent the performance of a real company.
Complete case studyIndependent synthetic B2B analytics system
Business question
Can revenue KPIs be trusted before Customer Success teams prioritize accounts?
Observed signal / KPI trust gate
Data status
SyntheticKPI status
GatedDecision output
Diagnostic scenariosImpact claim
None
D
Analytical interpretation
Decision outputs are restricted until source-data exceptions and reconciliation gaps are visible and reviewed.→
Decision / recommendation
Review quality exceptions before treating ARR, churn or renewal metrics as management KPIsDataset noteSynthetic B2B data only. No production customer data, production deployment, observed intervention result or real business impact is claimed.
Method / from ambiguity to action
The analysis is only useful when it changes the next decision.
Input
Growth question
Define the acquisition, conversion, retention or profitability problem before touching the data.Produces
A decision-shaped scopeReceives
Data model
Prepare reliable metrics with documented business rules.Produces
Trusted analytical inputsReceives
Analysis and dashboard
Isolate the bottleneck, pattern or priority segment.Produces
A decision-ready signalReceives
Growth recommendation
Translate the evidence into a concrete acquisition, conversion, CRM or retention action.Produces
The next business decision
Question → evidence → interpretation → decision
Business questions first. Tools in service of the answer.
A capability index grounded in independent portfolio evidence—not a keyword inventory.
Growth & Marketing Analytics
Locate acquisition friction, conversion drop-off and customer priorities.
Capabilities
- Acquisition analysis
- Conversion analysis
- Funnel analysis
- Campaign performance
- CRM segmentation
- Retention analysis
- GA4
Relevant toolsSQL / DuckDB · Tableau · Python · pandas · CRM analytics
Data & Business Intelligence
Turn source data into defined KPIs, validated models and usable reporting.
Capabilities
- SQL
- Python
- pandas
- Tableau
- Power BI
- Looker Studio
- ETL
- dbt
- Data quality
Relevant toolsDuckDB · dbt · SQL · Python · Streamlit · OR-Tools · SQL / DuckDB · Tableau
Business & Performance Analysis
Connect commercial performance signals to profitability and account decisions.
Capabilities
- KPI definition
- Stakeholder requirements
- Performance reporting
- Profitability analysis
- Business recommendations
Relevant toolsSQL / DuckDB · Tableau · Python · DuckDB · dbt · SQL · Streamlit · OR-Tools
Foundation → application → specialization
An academic path moving steadily toward Marketing Data Analytics.
Economics and management
Licence Économie et gestion — parcours Analyse économique
Université Paris-Panthéon-Assas
Digital business and marketing
Master in Digital Business & Marketing — Grande École Programme
EBS Paris – European Business School
Data management and AI
Master in Data Management & AI for Business
INSEEC MSc
Recruiter note
Marketing Data Analyst | Growth, Acquisition, Conversion & Retention
Available for a Marketing Data Analyst apprenticeship from September 2026.