
Responsibilities
1. Collect, clean, and organize raw data for analysis.
2. Analyze datasets to identify trends, patterns, and insights.
3. Create dashboards and reports for decision-making.
4. Use statistical techniques to solve business problems.
5. Present insights clearly to stakeholders.
6. Maintain data accuracy, quality, and consistency.
7. Collaborate with business, tech, and product teams.
8. Build automated data processes and workflows.
9. Support data-driven strategy and planning.
10. Monitor KPIs and track performance metrics.
11. Support preventive maintenance activities.
Skills
- Advanced Excel for data cleaning and analysis.
- SQL for database querying and data extraction.
- Python/R for analytics and automation.
- Power BI/Tableau for dashboards and visualization.
- Statistical analysis and problem-solving.
- Data modeling and interpretation.
- Strong analytical and critical-thinking skills.
- Report writing and presentation skills.
- Data quality management and validation.
- Business understanding and decision support.
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