Staff Data Analyst, Marketplace Insights

Cookunity · Latam (Remote)Remotomid

En corto

▸Analista de datos que transforma comportamientos de usuarios en insights accionables para mejorar el mercado de chefs.
▸Crea dashboards interactivos en Tableau para que equipos tomen decisiones sin apoyo directo de datos.
▸Destacado: Trabajas en un mercado de comida con chefs, orientado a nutrir y conectar a través de la experiencia personalizada.

Bilingüe (inglés avanzado) necesario para colaborar con equipos globales.

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¿Qué piden?

✓Experiencia previa en análisis de datos con enfoque en productos o usuarios.
✓Capacidad para construir dashboards interactivos y narrativas de datos en Tableau.
✓Conocimiento en métricas de comportamiento y segmentación de usuarios.
✓Habilidades de colaboración con equipos de producto, marketing y comerciales.
✓Compromiso con la toma de decisiones basada en datos y el aprendizaje continuo.
✓Capacidad de traducir problemas de negocio en preguntas de análisis claras y resolubles.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

TableauSQLGoogle AnalyticsMixpanelBigQueryLookerPythonA/B TestingData VisualizationData Storytelling

¿A quién escribirle en Cookunity?

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About CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry’s best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you’ve found the right job posting. 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. • <span style="font-s

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