I have a mix of product management and data analytics experience in high performing technology companies.
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Technical Data Product Management looking after interaction data for the Amazon of the Netherlands.
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Python, SQL, dbt, Tableau, Hex
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Growth & Monetisation Strategy, Python, Tableau, Postgresql, Event Analytics, Behaviour Analysis.
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Event Analytics, Product Analytics, Python, SQL, Splunk, Datadog, Google Analytics, Mixpanel, GTM, Segment, Amplitude, GCP, AWS.
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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.