Description of assignment and tasks:
- Perform in-depth 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 visualisations to communicate data profiling results and insight
- Provide recommendations for improving data quality, consistency and usability
Tech stack and required skills:
- At least 3 years of experience as Data Scientist.
- 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
- Initiative: Self motivation to identify opportunities for data improvement without direct supervision