About us For more than 20 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting-edge technology and game-changing consulting to companies on the brink of AI driven digital transformation. Since 2001, we have grown into a full service digital consulting company with 5500 professionals working on a worldwide ambition. Driven by the desire to make a difference, we keep innovating. Fueling the growth of our company with our knowledge worker culture. When teaming up with Xebia, expect in-depth expertise based on an authentic, value-led, and high quality way of working that inspires all we do. Responsibilities Conduct analysis to estimate expected value of data products. Measure and track benefits created by data products, and convert them to financial or key KPI metrics Support business stakeholders and regional data analysts by understanding their needs and providing guidance and support. Create dashboards to track adoption and business impact of features and data product launched. Dive deep into complex business problems and provide insights on digital features and AI model performance through hypothesis testing. Partner with cross functional teams on implementation. Partner with data science, data analytics and product managers on planning, goal setting and prioritization. Partner with data and engineering teams to improve instrumentation and product/models health reporting, pre/post analysis and business debugging. Partner with A/B test team to design experiments and post-hoc analysis of results. Bring data to life through storytelling in a clear and meaningful way to audiences with mixed levels of technical expertise and informing key strategic decisions. Promote a culture of data driven technical excellence, ownership, collaboration. Your background 3 years of professional experience analyzing complex data, drawing conclusions, and making recommendations. 3 years of applied data visualization experience. Tableau and PowerBI as main visualization tools. 3 years of experience in extracting & manipulating large data sets from various relational databases using SQL (Amazon Redshift, Oracle, Google BigQuery). Coding skills in at least one statistical or programming language (R or Python preferred) to import, summarize, and analyze data. Hands on experience working with big data, ideally clickstream data, in big data volume sectors such as ecommerce, gaming, social network etc. ecommerce platforms are a plus. Ability to translate and present complex analysis in executive summaries. Clear and effective written and verbal communication and strong interpersonal skills. Strong problem solving skills. Bachelor's in economics, Statistics, Data, Data Science and Engineering (Masters is a plus) or equivalent experience.