Max Corbeau

Analytics tools I most commonly use (too many to list them all): ✅ Google BigQuery ✅ Google Analytics 4 (+ Google Tag Manager to set it up)

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  Data science

  Developing my skills via formal education (eg 2 certifications from MiT) and working on existing clients' data (some I helped collect via my data engineering/analytics skills): https://courses.edx.org/certificates/c45f575c715b443aba80571e8f5afea8 https://courses.edx.org/certificates/a06e24a740ee4c7793caeaffac8391dd Working mostly with scikilearn, pytorch, fastai (a wrapper around pytorch) and whatever model I find relevant on huggingface to re-apply

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  Growth marketing

  I specialize in analytics, that is, collecting, storing, processing, and analyzing data to drive faster and smarter decisions. I also sometimes do some CRO as there is a natural fit with analytics. Been doing this for about 10 years, so I've seen my fair share I think.

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  Product analytics

  Part of the analytics expertise I have acquired over the years, some mobile but mostly Ecommerce/SaaS products, with my favorite tool for this type of work being Amplitude, and the other usual suspects being Google Analytics, Mixpanel, and Heap, with sometimes some more specific ones like baremetrics for SaaS

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  Google Analytics

  17 years of experience

  The almost unavoidable Analytics tool :) Very often used, quite often misused. Probably your best bet at getting a solid marketing ROI view without too much setup cost

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  Google Data Studio

  11 years of experience

  GDS is a great tool for simple and free data consolidation and reporting on Google products. Connectors can be used to plugin data from non-Google products (eg FB, Mailchimp...)

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  Mixpanel

  13 years of experience

  I setup Mixpanel primarily for Mobile App and SaaS products. It's a bit of an investment to setup, but it's lot more flexible than tools like Google Analytics.