Data Analyst

Qualifications:

• MSc in a quantitative field, preferably statistics.
• Hands-on experience (typically approx. 4- 6 years) carrying out data analytics, data mining and product analytics in sophisticated, fast-paced environments.
• Applied knowledge of data analytics and data pipelining tools and approaches across all data lifecycle stages.
• Deep understanding of a few and a high-level understanding of several commonly available statistics approaches
• Advanced SQL knowledge
• Advanced scripting experience in R or Python.
• Ability to write and maintain moderately complex data pipelines.
• Strong business insight.
• Customer-centric and pragmatic approach. Focus on value delivery and swift execution, while maintaining attention to detail.
• Good communication and customer leadership skills. Ability to lead large organizations through influence!
• Continuous learning and improvement mentality.