**Data Extraction \& Cleaning:** Retrieve data from primary/secondary sources and filter or "clean" datasets to remove duplicates, errors, and skewed outliers.
**Database Management:** Design and maintain databases or data systems that optimize statistical efficiency and data quality.
**Analysis \& Modeling:** Identify, analyze, and interpret trends or patterns in complex data sets to solve specific business problems.
**Visualization \& Reporting:** Create compelling data stories using graphs, charts, and dashboards to present findings clearly to both technical and non\-technical stakeholders.
**Performance Tracking:** Define, establish, and monitor Key Performance Indicators (KPIs) to measure and improve business performance.
Proficiency in **SQL** (for data extraction), **Excel** (for analysis and reporting), and BI tools like **Tableau** or **Power BI** (for visualization). Programming languages like Python or R are often preferred.