Key Responsibilities: • Gather, clean, and organize large datasets from various sources. • Validate and verify data accuracy, consistency, and completeness across various data sources. • Identify and resolve data discrepancies, inconsistencies and errors. • Performa routine and ad hoc data quality checks using automated and manual validation techniques. • Work closely with data entry teams and other analysts and stakeholders to ensure data integrity. • Perform data analysis to identify trends, patterns, and correlations. • Develop reports, dashboards, and visualizations using tools like Excel, SQL, Tableau, or Power BI. • Collaborate with cross-functional teams to support business objectives. • Interpret data to provide strategic recommendations and business insights. • Ensure data accuracy and integrity. • Use statistical techniques and predictive modeling to improve decision-making. • Document processes and methodologies for data collection and analysis. • Required Skills & Qualifications: • Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field. • Proficiency in data analysis tools such as SQL, Python, R, or Excel. • Experience with data visualization tools like Tableau, Power BI, or Google Data Studio. • Strong analytical and problem-solving skills. • Excellent communication and presentation abilities. • Ability to work independently and in a team-oriented environment. • Attention to detail and a strong understanding of data governance principles. Preferred Qualifications: • Experience in machine learning, predictive modeling, or statistical analysis. • Knowledge of database management and ETL (Extract, Transform, Load) processes. • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.