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Benoît LievinBL

Benoît Lievin

Amplitude Data Analytics Expert

€600/day
Utrecht, NL
8-15 years

Average response time: 1 hour

About Benoît

[FR]

Bonjour!

Je m’appelle Benoit!

Je suis Formateur technique Amplitude Analytics & Experimentation, j’accompagne les équipes produit, data et marketing à prendre des décisions pilotées par la donnée et à industrialiser l’A/B testing.
Plus de 200 heures de formations Amplitude déjà délivrées.
Je conçois et anime des formations pour des clients de tous secteurs (SaaS, e‑commerce, médias, fintech, mobilité…).

Mon approche : partir de vos vrais cas d’usage business, clarifier la taxonomie d’événements, puis vous rendre autonomes sur les analyses clés (segmentation, funnels, rétention, expérimentation, AI).

A très vite!


[EN]

Hello!

My name is Benoit!

I’m a Technical Trainer for Amplitude Analytics & Experimentation. I help product, data, and marketing teams make data-driven decisions and scale A/B testing practices.
I design and deliver training sessions for clients across all industries (SaaS, e-commerce, media, fintech, mobility, and more).
More than 200 hours of training delivered on Amplitude.
My approach: start from your real business use cases, clarify your event taxonomy, and help you become autonomous on key analyses (segmentation, funnels, retention, experimentation, AI).

See you soon!
  • English

    Native or bilingual

  • French

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • Amplitude
    Support Engineer and Technical Trainer – Product Analytics & Experimentation Enablement
    May 2024 - Today (2 years and 1 month)
    Amsterdam, Netherlands
    • ● Design and deliver technical training curriculum focused on product analytics and experimentation best practices.
    • ● Enable teams to translate data into strategic decisions, improving product outcomes.
    • ● Partner with cross-functional stakeholders (product, engineering, data) to scale analytics literacy.
    • ● Mentor and advise team members on advanced analytics tooling, experimentation frameworks, and metrics strategy.
    • ● Recognized with the EMEA Growth Mindset Award by peers and leadership for contribution to team success.
    • ● Investigated data discrepancies, tracking issues, and integration problems (SDKs, API, third‑party tools).
    • ● Explained query results, chart behavior, and metrics definitions in a clear, non‑technical way for mixed audiences.
    Amplitude intelligence artificielle Analyse de données Animation de formation Implémentation
  • Forward Football
    Analytics Lead Full Stack Engineer
    October 2023 - April 2024 (6 months)
    Amsterdam, Netherlands
    • ● Recovered architectural ownership in a legacy system where documentation and domain knowledge had been lost due to repeated team turnover.
    • ● Conducted deep discovery workshops and reverse-engineered critical services.
    • ● Implemented code standards, versioning, and documentation to stabilize the platform.
    • ● Developed an ETL framework and infrastructure to monitor football player performance data:
    • ● Designed and built scalable data pipelines for ingesting raw performance data from multiple sources (e.g., tracking feeds, match logs).
    • ● Automated transformation and cleansing logic to generate structured performance metrics.
    • ● Built monitoring and alerting dashboards enabling real-time insights for coaches, scouts, and analysts.
    Python JavaScript AWS jQuery ETL
  • Synopsys Inc
    Senior Analytics Web Engineer
    October 2020 - October 2023 (3 years)
    Hsinchu County, Taiwan
    • ● Designed and implemented an end-to-end ETL architecture to monitor park storage hard drive usage across the organization.
    • ● Built automated data collection pipelines to ingest storage metrics from distributed systems and hardware sources.
    • ● Transformed raw usage data into structured, query-ready datasets, enabling self-service analytics for engineering and operations teams.
    • ● Developed and maintained data models and schemas to support efficient querying and long-term scalability.
    • ● Enabled stakeholders to track storage consumption trends, identify bottlenecks, and plan capacity more effectively.
    • ● Improved system reliability through monitoring, alerting, and troubleshooting of data pipelines and web services.
    • ● Collaborated with cross-functional teams (IT, infrastructure, engineering) to align analytics outputs with operational needs.
    Python SQL PHP/MySQL Debian flask

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Education

  • Master Computer Science
    University of Lille
    2017

Skill set

Categories