1. Gather, clean, and validate data from various sources, including databases, spreadsheets, and external APIs.
2. Utilize statistical and data analysis techniques to identify trends, correlations, and anomalies in the data.
3. Create clear and informative data visualizations using tools like Tableau, Google Data Studio, Power BI, or other visualization platforms.
4. Develop regular and ad-hoc reports to communicate data-driven insights to management and other teams.
5. Build and maintain predictive models to support forecasting and decision-making.
6. Ensure data accuracy and integrity by implementing data quality checks and validation procedures.
7. Discover hidden patterns and opportunities in the data that can drive business improvements.
8. Collaborate with cross-functional teams to understand their data needs and provide support and insights.
1. Bachelor’s degree in a related field (e.g., Statistics, Mathematics, Computer Science).
2. Proven experience as a Data Analyst or in a similar role.
3. Proficiency in data analysis tools and languages such as SQL, Python and data visualization skills using tools like Tableau, Power BI, or Google Data Studio.
4. Excellent problem-solving and critical-thinking abilities.