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Damien Querbes

Data Scientist & Engineer for digital teams
1 recommandation
  • Tarif indicatif
    900 €/ jour
  • Expérience8-15 ans
  • Taux de réponse100%
  • Temps de réponse1h
La mission ne démarrera que si vous acceptez le devis de Damien.
Localisation et déplacement
Localisation
Bruxelles, Belgique
En télétravail uniquement
Travaille majoritairement à distance
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Compétences
Domaines d’expertise
Damien en quelques mots
I help digital scale-ups unlock revenue by leveraging customer data insights and predictive analytics. With 9 years of experience building data warehouses for growth teams, I provide a 360° view of customers that fuels data-driven decision-making. My expertise spans from key SaaS tools like Segment and DBT to the GCP environment, which I use daily to create robust, scalable data solutions.

My journey started in Performance Marketing and CMO roles, where close collaboration with CTOs (huge shoutout to them!) pushed me to dive into data coding. This unique combination of marketing and technical experience allows me to bridge the gap between growth teams and tech, offering end-to-end implementation of data strategies that truly drive growth.

After establishing data warehouses and pipelines, I’ve worked on advanced projects such as Marketing Mix Modeling, LTV Prediction for new customers, and Uplift Modeling for promotional actions. One of the most underrated strategies, in my opinion, is LTV Prediction. Few companies optimize their campaigns based on lifetime value, and that represents a massive opportunity.

If you haven’t explored LTV-based optimizations yet, I’d love to help you unlock this potential in your business. Let’s work together to build data-driven strategies that lead to long-term success!
Expériences
  • Dog Chef
    Data Consultant
    E-COMMERCE
    janvier 2022 - Aujourd'hui (3 ans et 1 mois)
    Bruxelles, Belgique
    Supported Dog Chef's CMO on marketing performance and data initiatives. Key projects include:
    1. Marketing Efficiency Optimization
    • Server-Side Tracking: Implemented server-side tracking to increase data events shared with marketing platforms
    • LTV Prediction Model: Developed an 8-month LTV prediction model using XGBoost, allowing conversion values to be shared with Google Ads and Meta. Shifting campaign objectives from CPA to ROAS increased profitability by 40% (6-month experiment).
    • Churn Prediction Model: Launched a classification model to forecast 2-month churn probability, enabling proactive retention actions. We observed a 30% increase in action efficiency vs. control.
    • Uplift Modeling for Promotions: Built a model to assess the incremental impact of promotions, optimizing strategies to increase reorder rate by 10% without raising promotion costs.
    • A/B Testing Framework: Created an ICE-matrix prioritization framework, increasing website CVR by 60% through structured testing.
    2. Enabled a 360° Customer view, along with key business events and attribution models
    • Multi-Touch Attribution: Established a unified Markov-based attribution model, integrating data from Segment to align performance insights across teams.
    • Marketing Mix Modeling (MMM): Currently exploring MMM with PyMC to analyze upper funnel performance and saturation, supporting smarter budget allocation.
    • Customer Support Analytics: Developed a topic classification and sentiment analysis model, using OpenAI’s API on support tickets to feed insights into predictive models.
    • Survival and Cohort Analysis: Conducted Kaplan-Meier survival analysis by customer/pet traits, uncovering insights on profitable cohorts and pricing challenges for specific pet sizes.
    • DBT Data Models: Built event-centric and user data models to streamline metric definitions, enable custom Looker reporting, and support reverse ETL to platforms like Meta, Google Ads, and CRM.
    Data science Natural Language Processing (NLP) Customer Data Platform Data Warehousing Analyse de données Data Engineer Extraire, transformer, charger (ETL) Big Query Programmation Python Vertex AI Marketing Mix Modeling LTV Forecast Server-side tracking
  • Jaimy by Belfius
    Head of Marketing/Growth
    BANQUE & ASSURANCES
    janvier 2019 - décembre 2021 (2 ans et 12 mois)
    Brussels, Belgium
    • Built the growth strategy to hire tradesmen on the platform and connect them with homeowners (with digital campaigns). Grew the platform from 0 to a 7-digit revenue.
    • Designed and orchestrated the customer data stack to enable personalized customer experiences & workflows.
  • Ubeeqo
    Head of Acquisition & Marketing Product Owner
    janvier 2016 - janvier 2019 (3 ans)
    Brussels, Belgium
    Execution at the Group level of: Structured B2C and B2B acquisition strategy across European markets (6 countries)
    • Managed the acquisition campaigns for each geo coordinating activities with design teams, internal digital experts and digital agencies; defined the media planning with a focus on high conversion channels; gained strong expertise on PPC and Paid Social channels.
    • Leveraged retargeting to drive customers down to activation (driving license uploaded and first booking events)
    • Advised local managers on their marketing plans and budget taking into account the digital competitive environment and seasonal demand
    • Optimised landing-page and website conversion rate; usage of A/B tests led to a 35% increase in homepage conversion rate
    • Coordinated and ran ASO/SEO audit in line with content strategy Established and maintained group Marketing KPIs allowing for data driven decision making
    • Created automated reports on user acquisition (including metrics such as CAC, cost of active users, LTV with splits per cohorts and channels, retention rates)
    • Planned digital budgeting across channels based on attribution reports Managed the tracking architecture both for Mobile and Web
    • Proposed and implemented Segment as a comprehensive tracking solution, leveraging integrations with third party tools; coordinated front and back-end developers' sprints; switched the attribution modelling from last-touch to multi touch
    • Contributed to the business and marketing data warehouse (BigQuery) Launched Ubeeqo's global and multilingual website
    • Directly managed a front-end developer to ensure maintenance and integrate new design and features
1 recommandation externe
AC

Alexandra Chow recommande Damien

Alexandra ChowAC
Alexandra Chow
Dog Chef
26/09/2024
I want to take a moment to thank Damien for the fantastic contribution he’s made at DogChef. From day one, Damien quickly grasped our business needs, giving us a much clearer understanding of our key metrics and growth levers. He laid out a strategic roadmap of data-related projects that has directly contributed to our path to profitability.

One of his standout achievements was developing an LTV prediction model that integrates with our Google Ads and Meta campaigns, allowing us to better optimise our campaign ROAS% and focus on valuable prospects. This led to a significant uplift in margin from our digital marketing efforts.

Damien has a remarkable ability to manage complex data projects independently from start to finish. He ensured everything was well-documented, which has been essential for the long-term scalability of our systems.

What truly sets Damien apart is his ease in working with everyone—from management to the tech teams. His communication skills are exceptional, and he’s able to adapt complex topics for different audiences, which made collaboration smooth and productive. He made sure to integrate well with the team even as an external consultant which made him part of the team as would be a full time member.

All in all he is a hard and dedicated worker that truly makes a difference in a team. Damien, on behalf of the entire team, thank you for your dedication, vision, and professionalism. It’s been a real pleasure working with you, and we look forward to continuing our collaboration in the future!
Formations
  • Msc in Management, Finance, Entrepreneurship
    EM Lyon
    2014
    Msc in Management, Finance, Entrepreneurship
  • Master of Business
    Nagoya University Business Commerce
    2013
    Master of Business Administration (MBA), Corporate Finance
  • Classes Préparatoires Commerce, Scientifique
    Externat Sainte Marie
    2009
    Classes Préparatoires Commerce, Scientifique
  • Baccalauréat, Scientifique
    Lycée Alphonse Daudet
    2007
    Baccalauréat, Scientifique
  • Machine Learning
    Le wagon
    2023
    A 5 month ML/AI bootcamp
Certifications