[At833] | - Solo Quedan 24H Analytics Engineer - Spain Remote

Detalles de la oferta

.Vista's Engineering organization is working to make our company one of the world's most well-known and successful data-driven companies. The cross-functional team includes analysts, product owners, technologists, data engineers and more – all passionate about providing Vista with information and tools we can use to deliver jaw-dropping customer value. Engineering team members are empowered to learn new skills, communicate openly and be active problem-solvers. Vista strives to be the expert design and marketing partner to small businesses. Customer Traits and Prediction Team (aka C-TAP) provides the intelligence that helps Vista understand their customers better through the lens of traits, segmentation or machine learning models to serve them better product recommendations.

What You Will Do: Analyze customer transaction data to identify trends, patterns, and potential improvements in customer experiences.Access and interpret website interaction data to uncover user behavior and journey insights.Study product interaction data to determine usage patterns and opportunities for marketing initiatives.Leverage data to create and refine customer segmentation models, enabling personalization efforts.Partner with the data scientist in the team to create new machine learning models or improve existing ones.Partner with data engineers in our team to build and maintain data pipelines that improve scalability and reliability of our data products.Partner with business stakeholders to understand their questions and enable self-service decisions by building dashboards.Ensure dashboards are user-friendly, visually appealing, and tailored to the needs of marketing stakeholders.Collaborate with cross-functional teams, including product, to ensure data integration and consistency across platforms.Prepare and present detailed reports on findings, trends, and recommendations to senior management and marketing stakeholders.Communicate complex data concepts in a clear and concise manner to non-technical audiences.Bring novel and untested ideas to the table to constantly innovate how we define and measure the success of our work for customers and the business. Your Qualifications: A strong education and background in Data Science, Statistics, Economics, mathematics, BI visualization, or programming.Ability to code in SQL.Knowledge of Python.
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Salario Nominal: A convenir

Fuente: Jobleads

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