Key Responsibilities of Role
- Data Exploration:
- Explore datasets to identify potential areas for analysis and improvement.
- Develop hypotheses and conduct tests to validate assumptions.
- Data Validation:
- Implement quality assurance processes to ensure data accuracy and integrity.
- Regularly perform data validation checks to maintain data quality standards.
- Tool Proficiency:
- Utilize programming languages such as Python or R, Power BI, Tableau, Looker for data analysis tasks.
- Demonstrate proficiency in data analysis tools such as Excel, SQL, Jupyter Notebooks, and relevant libraries.
- Continuous Improvement:
- Stay informed about industry trends, best practices, and emerging technologies
- Suggest and implement improvements to existing data processes and workflows.
Qualifications and Experience
- Bachelors degree in a relevant field such as Statistics, Mathematics, Computer Science, or a related discipline.
- 7 - 12 years experience in data analysis tools and programming languages.
- Familiarity with database management and SQL.
