Data Analyst
- Hands-on experience (typically approx 3- 5 years) carrying out data analytics, data mining and product analytics in complex, 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 Power BI knowledge
- Advanced SQL knowledge
- Advanced scripting experience in R or python.
- Ability to write and maintain moderately complex data pipelines
- Strong business acumen.
- Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail.
- Strong communication and stakeholder management skills.
- Continuous learning and improvement mindset.
Thank you very much!
-
Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Information Technology -
Industries
IT Services and IT Consulting
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