Staff Data Analyst, Marketplace Insights

 

About the Role

Data Analysts are the people who form a marriage of minds with product, marketing and commercial managers and provide them the insights they need to drive improvements in their products. They explore data, create impactful visualizations and visualization and design and analyze experiments to fuel team learning and innovation. Over time, as both the learning needs and the analysts' understanding of how to address them mature, they build their understanding into self-service insights dashboards that enable learnings to be generated without the direct support of data professionals. This creates the opportunity to go deeper on other areas. It’s a role where mastery in metric setting, visualization, data storytelling, experimentation and partnering come together to facilitate team measurement and learningwithin their daily rhythms.

What you’ll do in 12 months

• Transform our understanding of how users discover and order food through behavioral insights: Collaborate with Marketplace and Menu teams to understand user behaviors and drivers behind their interactions with our platform. Uncover patterns and trends in menu discovery, evaluation and ordering actions, informing the improvement of the marketplace experience. Success will be measured by the number of insights that have led to improvements in user experience and engagement metrics, resulting in increased customer satisfaction and retention.
• Enable self-service insights where you can: Develop intuitive, interactive data visualizations in Tableau that empower stakeholders to easily explore and understand key metrics and trends. Create storytelling narratives within the dashboard that guide users through the data, enabling them to derive actionable insights independently. Success will be measured by the adoption of the dashboard among stakeholders and the frequency of use in decision-making processes, indicating improved data literacy.
• Define metrics and customer segments to gain further insights: Define relevant metric frameworks (behavioral and performance) and user segmentations that align to the learning goals of the team. Work with the product teams to prove your segmentations can be used to build more personalized customer experience. Success will be measured by the change in metrics as a result of improved feature targeting, prioritization and personalization.
• Help with the product teams scale up early testing and controlled experiments: Design, support execution of and analyze (semi-)controlled experiments. Leverage platforms to enable self-serve conclusions about success, but provide hands on support to understand in-test behaviors. Produce learnings and work closely with user experience researchers to help the product teams understand the why of their successes and failures. Success