I have a mix of product management and data analytics experience in high performing technology companies.

  • Technical Data Product Management looking after interaction data for the Amazon of the Netherlands.

  • Python, SQL, dbt, Tableau, Hex

  • Growth & Monetisation Strategy, Python, Tableau, Postgresql, Event Analytics, Behaviour Analysis.

  • Event Analytics, Product Analytics, Python, SQL, Splunk, Datadog, Google Analytics, Mixpanel, GTM, Segment, Amplitude, GCP, AWS.

  • Power BI, SQL, Python, R, Google Analytics, GCP, AWS, Sharepoint, Excel.

Technical skills:

Python, SQL, dbt, R, AWS, GCP, Google Analytics, Mixpanel, Amplitude, Segment, Tableau, Power BI

Projects I’m proud of:

  • At bol.com

  • At {various start up projects}

    • Developing recommendations and retrieval engines to help product teams organise and relate their documented work.

    • Learned about what’s involved with starting a technology company from the beginning, including UX, technology, commercial and sales requirements.

  • At Dott:

    • Developed self-service analytics capabilities and education materials / workshops to make data easier to find and use for more than 70 colleagues.

    • Collaborated heavily on a pricing and user behaviour analysis that resulted in >30% uplift in per ride profit, helping Dott on path to profitability.

  • At Asellion:

    • Planned, implemented, and made easy to use product behaviour analytics - end to end mix of qualitative and quantitative data for product and business.

    • Developed and implemented ML classification model that predicted high friction sales types. Used this data to inform monetisation and growth strategy for platform.

  • At Xero

    • Ran product analytics discovery project and developed ongoing strategy to implement and educate product teams on data.

    • Worked within product teams to help make data easier to collect, access, and use.

    • Developed framework for planning what to track and how to measure success and developed foundational tracking plan for all Xero products.

  • At Trade Me:

    • Developed keyword level marketing attribution model with benchmarking and predicted revenue by channel, campaign, keyword, and demographic.

    • Developed quantitative research system that allowed UX and product teams to generate and analyse statistically significant and representative datasets.