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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. .