About Diego
- Centralization of sources and data orchestration
- Data organization and implementation of reliable indicators
- Data visualization and BI reporting used daily by business teams
- Structuring cloud data warehouses (BigQuery)
- Analytical data modeling (Kimball, star schema, marts)
- Implementing robust and maintainable SQL transformations (dbt)
- Reliability and consistency of metrics (SaaS, product, finance)
- Providing clear KPIs and dashboards (Metabase, Looker, Power BI, Tableau)
- Advanced data analysis (Python)
- Developing POCs and data applications (Streamlit, Plotly)
French
Native or bilingual
English
Fluent
Spanish
Native or bilingual
Experience
- beta.gouv.frSenior Data AnalystPUBLIC SECTORDecember 2025 - Today (6 months)Paris, FranceContextPublic sector digital platform supporting employment and social inclusion policies.RoleContribution to the analytics and reporting layer to provide reliable monitoring tools.Key Contributions
- Implementation of ETL/ELT pipelines with dbt and Airflow
- Development of dashboards and automated reporting with Metabase
- Implementation of dashboards for monitoring IAE program results
- SalesAPE.aiSenior Data AnalystTECHSeptember 2025 - January 2026 (4 months)Londres, United KingdomContext:Fast-growing B2B SaaS startup, requiring complete structuring of the analytics system.My Role:I designed and deployed the entire analytics infrastructure to provide teams with a reliable view of business performance.Key Responsibilities:
- BigQuery data warehouse design
- Implementation of automated ELT pipelines (Airbyte)
- Integration and centralization of data sources (HubSpot, Stripe, Sequence, Google Sheets)
- Data modeling with dbt (marts, tests, documentation)
- Definition of SaaS metrics (MRR, churn, cohorts)
- Creation of decision-making dashboards (Looker Studio)
Results:- Establishment of a consistent analytical foundation enabling reliable monitoring of SaaS metrics
- Reduction of inconsistencies between indicators used by teams
- Technical foundation ready for advanced analysis and long-term management
- ImpaaktSenior Data Analyst | Lead BIPRIVATE EQUITYJanuary 2021 - September 2025 (4 years and 8 months)Genève, SwitzerlandContextSaaS startup in ESG finance, developing data-driven products for responsible investment.RoleLeading data initiatives covering analytics, BI, data quality, machine learning, and exploratory GenAI projects.Key Contributions
- Creation of BI dashboards and analyses using Metabase, SQL, and Python
- Structuring and ensuring data reliability to improve analysis quality
- Development of machine learning models applied to ESG use cases
- Implementation of GenAI solutions based on LLMs for automated content creation
- Close collaboration with product teams and management on data-driven initiatives
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Education
- Master of Data Science and Artificial IntelligenceToulouse Business School2019
- Bachelor of Business ManagementUniversidad de Zaragoza2017
Certifications
- dbt Fundamentalsdbt Labs2025
- Associate - Data Science Version 2.0Dell Technologies2019