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.
Fuelling 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.
We are looking for a seasoned Analyst and Data Visualisation Expert
to support the data science and analytics team focused on Direct To Consumer data products.
The ideal candidate is a great storyteller and strong technical contributor who has experience solving business problems with data-driven tools.
You will be responsible for delivering a suite of analytical products including analyses, dashboards, insights, and recommendations with especial focus on clickstream data.
You should have a high degree of curiosity about the business and the skills to discover impactful insights from data.
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.
Responsibilities include : Create dashboards to track adoption and business impact of features and data products launched.Support business stakeholders and regional data analysts by understanding their needs and providing guidance and support.Dive deep into complex business problems and provide insights on digital features and AI model performance through hypothesis testing.
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.Collaborate with A / B testing teams to design experiments and analyze results post-hoc.Bring data to life through storytelling in a clear and meaningful way to audiences with varying levels of technical expertise, informing key strategic decisions.Promote a culture of data-driven technical excellence, ownership, and collaboration.3+ years of professional experience analyzing complex data, drawing conclusions, and making recommendations.3+ years of applied data visualization experience using Tableau and PowerBI.3+ years of experience in extracting and manipulating large data sets from relational databases such as Amazon Redshift, Oracle, Google BigQuery.Coding skills in at least one statistical or programming language (R or Python preferred).Hands-on experience working with big data, ideally clickstream data, in sectors like ecommerce, gaming, or social networks.Bachelor's degree in Economics, Statistics, Data Science, Data Engineering, or equivalent experience; a Master's degree is a plus.J-18808-Ljbffr
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