- Perform data extraction, cleaning, validation, transformation, and maintenance across multiple data sources.
- Conduct statistical analyses and quantitative data mining to identify trends, patterns, anomalies, and other meaningful insights.
- Develop reports, dashboards, summaries, and visualizations to communicate analytical findings.
- Compile, validate, interpret, and present data to support operational and business objectives.
- Perform statistical programming and data analysis using analytical software and programming languages.
- Design and execute database queries to retrieve and analyze data from large datasets.
- Prepare clear, concise, and accurate reports, memoranda, data files, and presentations for internal and external stakeholders.
- Communicate analytical methods, assumptions, and results to both technical and non-technical audiences.
- Support internal quality reviews, audits, and data validation activities.
- Participate in team projects, methodology discussions, and continuous process improvement initiatives.
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