December 5
• Conducting analysis to estimate expected value of data products • Measuring and tracking benefits created by data products, and converting them to financial or key KPI metrics • Supporting business stakeholders and regional data analysts by understanding their needs and providing guidance and support • Creating dashboards to track adoption and business impact of features and data product launched • Diving deep into complex business problems and providing insights on digital features and AI model performance through hypothesis testing • Partnering with cross functional teams on implementation • Partnering with data science, data analytics and product managers on planning, goal setting and prioritization • Partnering with data and engineering teams to improve instrumentation and product/models health reporting, pre/post analysis and business debugging • Partnering with A/B test team to design experiments and post-hoc analysis of results • Bringing data to life through storytelling in a clear and meaningful way to audiences with mixed levels of technical expertise and informing key strategic decisions • Promoting a culture of data driven technical excellence, ownership, collaboration
• Ability to start immediately • Openness to work daily between till 19.00 pm CET • 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 • 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 • Good verbal and written communication skills in English • Work from the European Union region and a work permit are required
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