1. collect and analyse data from various sources to extract meaningful insights and inform business decisions.
2. design and create visualisations and dashboards to present data trends and findings to stakeholders.
3. clean, preprocess, and organise data to ensure accuracy and readiness for analysis.
4. perform statistical analysis using tools like Excel and Python to uncover patterns, correlations, and trends in data sets.
5. collaborate with cross-functional teams to understand data requirements and deliver actionable insights.
6. automate data collection and analysis processes to streamline operations and improve efficiency.
7. conduct data quality assessments and implement data cleansing techniques to maintain data integrity.
8. utilise machine learning and predictive modeling techniques to forecast trends and outcomes.
9. stay updated on data analysis techniques and tools to enhance analytical capabilities.
10. communicate findings and recommendations to non-technical stakeholders in a clear and understandable manner.
