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Kevin BhurtunKB

Kevin Bhurtun

Head of Data | Staff AI & Analytics Engineer

€800/day
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Kevin

Your company is experiencing strong growth… and data is becoming a bottleneck rather than a lever?

You're in the right place.

I am a hands-on Head of Data and have supported several companies at this key moment:
  • Fabulous (40M users, triple-digit growth)
  • Cheerz (€50M revenue)
  • OCUS (+250% growth)

My role: focus on what truly creates impact when a company scales rapidly.

Here are the contexts in which I can intervene:
🚦 Teams wait days/weeks to access data.
  • Deployment of AI-augmented semantic layers (e.g., Omni) for natural language data access
  • Optimization of associated LLMs for reliable answers
  • Implementation of tools for Product teams to autonomously analyze their A/B tests

📈 CAC is increasing and marketing is struggling to optimize ROI.
  • Construction of tailor-made attribution models to identify profitable channels, campaigns, and creatives
  • Development of forecast models to identify high LTV cohorts

🐞 Difficulty identifying features or bug fixes that maximize growth and retention
  • Implementation of tracking that reveals user behavior and friction points.
  • Analysis of complex payment data to detect invisible issues in the conversion funnel

💵 Data costs are increasing
  • Design of data platforms combining AI-driven automation and safeguards (testing frameworks, data quality).
  • Execution of concrete, impact-oriented data roadmaps

A project?

Contact me:
  • French

    Native or bilingual

  • English

    Native or bilingual

Can work on-site
Paris (up to 50km)

Experience

  • Fabulous
    Staff Analytics Engineer
    SOFTWARE PUBLISHING
    May 2023 - January 2026 (2 years and 8 months)
    Paris, France
    Fabulous is a family of award-winning wellness mobile apps, used by over 40 million users worldwide.

    I joined the company during its hypergrowth phase (from 1 to 9 apps) to scale the analytics platform to support strong user and revenue growth, and to lead complex, high-impact business data projects.

    Key Achievements & Projects

    Platform Redesign and Acceleration (with AI)
    • Deployment and fine-tuning of an AI-augmented semantic layer (Omni), enabling natural language analysis and reducing time-to-insight from several days to a few seconds.
    • 90% reduction in data costs in 2 months through custom ingestion pipelines (billions of events) and optimization of incremental models.
    • Redesign of the dbt testing framework: 5x reduction in data incidents and increased team productivity.

    Return to Positive Marketing ROI
    • Construction of a revenue forecasting model for User Acquisition, supporting decisions that generated +150% annual MRR growth with profitable spending.
    • Detailed modeling of subscription and payment data, identification of critical friction points in workflows: +30% revenue after experimentation.
    • Creation of an internal tool for analyzing advertising creative performance, saving tens of thousands of euros per year.

    Reliability and Self-Service
    • Implementation of monitoring systems ensuring tracking quality and robustness of strategic KPIs.
    • Development of A/B testing frameworks enabling Product teams to analyze their experiments autonomously.
    Technical Context
    dbt Core, nao labs, Cursor, BigQuery, Omni, Metabase, Fivetran, Amplitude, Deepnote, GitHub Actions
  • Cheerz
    Head of Data & Analytics Engineering
    E-COMMERCE
    January 2022 - May 2023 (1 year and 4 months)
    Paris, France
    Cheerz is a European scale-up specializing in photo printing on mobile/web (150 employees, €50M revenue).

    I worked closely with the Product, Tech, Marketing, and Management teams to make data a central lever for performance and decision-making.

    Key Achievements and Projects

    Definition and Management of Data Strategy
    • Construction of quarterly data roadmaps aligned with business priorities, expected impact, and analytical maturity level.
    • Transformation of an organization focused on reactive reporting towards a diagnostic and proactive approach (root cause analysis, backend monitoring, alerting).

    Building and Scaling a Hybrid Data Organization
    • Recruitment and management of analytics engineers and data analysts; definition of roles, responsibilities, and work standards.
    • Reduction of time spent on simple queries and fixes (from 50% to 10%) through high data reliability (99.9% uptime) combined with a high level of self-service.

    Integrating Metrics into Product & Tech Decisions
    • Shift from partial visibility on user actions to systematic monitoring of conversion rates, user journeys, and feature impact.
    • Transformation of rituals (sprint reviews, roadmap planning, postmortems) into discussions centered on metrics rather than deliverables.
    Technical Context
    dbt cloud, Stitch Data, airbyte, Google BigQuery, Looker, Amplitude, Google Analytics, Hightouch, Deepnote, Segment
  • Cheerz
    Lead Data
    E-COMMERCE
    October 2020 - January 2022 (1 year and 3 months)
    Paris, France
    I joined Cheerz during an international expansion phase with the mission to structure and grow the data function.

    Key Achievements and Projects

    End-to-End Data Stack Modernization(Stitch + Airbyte -> dbt -> BigQuery -> Looker)
    • 93% reduction in Looker query execution time (from several minutes to a few seconds).
    • Replacement of 500+ complex SQL files with a modular dbt Cloud project on BigQuery, applying software engineering standards (CI/CD, testing, DRY modeling).
    • Complete migration to Looker dashboards without service interruption.

    Creation of the Analytics Engineering Function
    • Recruitment and support of one of the first Analytics Engineers in France.
    • Implementation of modeling, testing, documentation, naming conventions, and code review standards.

    Redesign of Tracking and Implementation of Product Analytics
    • Complete reconstruction of the tracking system: taxonomy, governance, instrumentation guidelines, and QA process.
    • Deployment of Amplitude, improving behavioral analysis, funnels, and experimentation velocity.
    • Implementation of a reverse ETL (Hightouch) to recover lost conversions (cookie gaps) and optimize marketing campaigns.
    Technical Context
    Looker, dbt Cloud, Stitch Data, Google BigQuery, Amplitude, Google Analytics, AWS

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Education

  • Master's degree
    Ecole nationale supérieure d'Arts et Métiers / ENSAM
    2015
    Master's degree
  • Cambridge Higher School Certificate
    Collège du Saint Esprit
    Cambridge Higher School Certificate

Skill set

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