Data Analysts

-Gather data from multiple sources such as databases, APIs, spreadsheets, or surveys

-Ensure data accuracy, completeness, and consistency

-Remove duplicates, handle missing values, and correct inconsistencies

-Convert raw data into a usable format for analysis

-Structure data for analysis using tools like Excel, SQL, or Python

–Use statistical techniques to identify trends, patterns, and correlations.

– Perform exploratory data analysis (EDA) to gain insights.

– Present findings using visual tools (e.g., charts, graphs, dashboards).
– Tools like Tableau, Power BI, or matplotlib/seaborn in Python are commonly used.