Skills
-
Python
-
SQL
-
BI platforms
-
Cloud computing
-
data visualization
- Database management: manage the team’s data infrastructures,
- Pipelines and automation: create and manage data pipelines using automation and scripting,
- Data processing: collect, generate, and clean data for modeling,
- Analysis: analyze data to improve our products,
- Provide data access tools for other departments,
- and more.
- “Soft” Skills:
- “Can do” attitude,
- Highly detail-oriented and organized,
- Excellent communication skills,
- Project management and time management skills,
- Strong analytical skills,
- High ability to translate complex data into actionable insights.
- “Can do” attitude,
- Highly detail-oriented and organized,
- Excellent communication skills,
- Project management and time management skills,
- Strong analytical skills,
- High ability to translate complex data into actionable insights.
- “Hard” Skills:
- Proficiency in Python – must,
- Cloud computing – advantage,
- Working knowledge in SQL – advantage,
- Experience with data visualization or BI platforms – advantage,
- Experience in preparing data for modeling – advantage
- Proficiency in Python – must,
- Cloud computing – advantage,
- Working knowledge in SQL – advantage,
- Experience with data visualization or BI platforms – advantage,
- Experience in preparing data for modeling – advantage
Copyleaks
Sign in with Google
