Description
You will manage data integrity and transform raw datasets into actionable business intelligence.
Responsibilities
- Gather, clean, and organize large datasets from multiple sources while validating accuracy and completeness.
- Identify and resolve data discrepancies, inconsistencies, and errors through automated and manual validation.
- Perform data analysis to identify trends, patterns, and correlations using statistical techniques.
- Develop reports, dashboards, and visualizations to provide strategic recommendations and business insights.
- Document all processes and methodologies used for data collection and analysis.
Required Skills
- 5+ years of experience in data analysis.
- Proficiency in SQL, Python, R, or Excel.
- Experience with data visualization tools including Tableau, Power BI, or Google Data Studio.
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
- Strong understanding of data governance principles.
- Solid analytical and problem-solving skills.
- Ability to communicate and present findings to cross-functional stakeholders.
Preferred Skills
- Experience in machine learning, predictive modeling, or statistical analysis.
- Knowledge of database management and ETL processes.
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.