Reporting and Data Visualization

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Performing exploratory data analysis to identify initial trends, patterns, and anomalies.
Applying statistical methods to analyze data and test hypotheses.
Conducting root cause analysis to understand the drivers behind observed trends or issues.
Segmenting data to understand different customer groups, product performances, or market dynamics.
Developing and maintaining analytical models and algorithms (though less complex than a Data Scientist's).

Designing, developing, and maintaining BI dashboards and reports using BI tools (e.g., Tableau, Power BI, Qlik Sense).
Creating compelling data visualizations (charts, graphs, maps) that clearly communicate insights.
Automating reporting processes to whatsapp number list provide timely information to stakeholders.
Ensuring reports are accurate, easy to understand, and relevant to user needs.
Communicating Insights and Recommendations:

Presenting analytical findings and insights to both technical and non-technical audiences.
Translating complex data findings into clear, concise, and actionable business recommendations.
Developing data-driven narratives and stories to effectively convey meaning.
Facilitating discussions and decision-making based on data insights.
Supporting Data Governance and Quality: