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🔍 Marketing & Commerce Analytics
- At least 3-5 years of data analytics experience, inclusive of Marketing-focussed analyses and models, e.g. segmentation, retention, loyalty programmes, MMM.
- Strong experience using SQL for multi-table aggregate queries
- Familiar with Python, including pandas and other associated data libraries
- Ability to clearly articulate and present insights to technical and non-technical teams alike
- Provide insights and reporting that deepen the understanding of the customer and the impact of our marketing, merchandising, and product strategies - including attribution, churn prediction, lifetime value modeling, experiment methodology, and segmentation.
- Analyze A/B and multivariate tests and serve as an advocate for proper experimental design and testing
- Develop and regularly report against KPIs that accurately reflect the health and potential of the business, with a focus on marketing KPIs (marketing channel performance, LTV, CAC, etc.)
- Own and expand existing dashboards and reporting and democratize data access so stakeholders can better understand and act on data and insights
- Proactively identify and produce new types of analyses and reports to meet business stakeholders’ needs
- Support the enhancement of the analytics stack with new tools and technologies
PythonSQLBusiness IntelligenceGoogle AnalyticsAmplitude AnalyticsTableauPandasData visualizationMarketingData analyticsA/B testing
Posted about 1 month ago
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