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.