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- Perform in-depth data profiling and analysis to uncover patterns, anomalies, and inconsistencies in data
- Collaborate with data engineers and business analysts to define data requirements and ensure data quality
- Develop and execute data validation and verification processes to document and improve data integrity and quality
- Create detailed reports and visualizations to communicate data profiling results and insights
- Provide recommendations for improving data quality, consistency, and usability
- Initiative: Self-motivation to identify opportunities for data improvement without direct supervision
- Curiosity about data and digging into it to see patterns and business insights,
- Programming in Python and SQL
- Business acumen
- Cloud: Azure & Databricks
- Software Engineering and Computer Science understanding
- Analytical Mindset: Ability to dissect complex datasets and extract actionable insights
- Attention to Detail: Precision in identifying data inconsistencies and ensuring data quality
- Problem-Solving: Proactively address data quality issues and recommend improvements
- Effective Communication: Capability to explain technical data concepts to non-technical audiences
- Team Collaboration: Strong interpersonal skills to work with diverse teams and stakeholders
- Adaptability: Willingness to learn and adapt to new tools, technologies, and processes
Key Skills
Ranked by relevance
c
ai
ui
python
cloud
sql
ios
cis
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- Posted
- Nov 27, 2024
- Type
- Full-time
- Level
- Entry
- Location
- Warsaw
- Company
- Intetics
Industries
Non-profit Organizations
Primary
Secondary Education
Categories
Engineering
Information Technology
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