The head of analytics will work with all vertical heads to play a central role in defining and measuring key metrics across product, marketing, business, and customer success.
Knowledge of the Data and Analytics technology landscape is mandatory, with a nuanced understanding of marketing analytics, statistical techniques, data warehousing, Hadoop, real-time analytics architectures, and reporting solutions.
Key responsibilities:
- Define best practice and thought leadership around business insights and analytics
- Identify the immediate needs of the Analytical and BI infrastructure, with a focus on setting up the ecosystem end to end.
- Build out our Analytics and reporting engine from its infancy, eliminating redundancy and inefficiency in order to make our products more dynamic, intelligent and predictive.
- Apply your knowledge and expertise in quantitative analysis, predictive modeling and data mining to see beyond the numbers and understand how our users interact with our products
- Partner with product and marketing teams to design, run, and analyze A/B and multivariate hypothesis tests aimed at optimizing customer experience, business KPIs and product funnels.
- Analyze experimental data with statistical rigor. Ensure accurate interpretation by combining business acumen with detailed data knowledge and statistical expertise.
- Work closely with Product Development leadership to drive product and business decisions
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