1. Analyze large datasets to identify trends and shape strategic decisions.
2. Develop statistical models to solve complex problems with user-centric solutions.
3. Create impactful dashboards and reports to track key performance indicators (KPIs).
4. Collaborate with cross-functional teams to align analytical support with product innovation.
5. Perform exploratory data analysis (EDA) to uncover insights for decision-making.
6. Present findings using compelling storytelling to simplify complex data.
7. Ensure data integrity through validation and cleaning processes.
8. Design and optimize ETL workflows for seamless data processing.
9. Utilize PySpark for big data analysis and leverage cloud platforms (AWS, GCP, Azure) for storage and computation.