Role & responsibilities
Data Collection and Cleaning
Collect data from various sources such as databases, spreadsheets, APIs, and third-party providers.
Clean and preprocess the data to remove errors, fill in missing values, handle inconsistencies, and prepare it for analysis.
Exploratory Data Analysis (EDA)
Understand data distributions, identify patterns, and detect anomalies.
Use descriptive statistics and visualizations to get an overall sense of the data.
Statistical Analysis
Perform statistical modeling to uncover relationships and trends.
Use hypothesis testing, regression analysis, clustering, and other techniques to derive insights.
Data Visualization and Reporting
Present findings using charts, graphs, dashboards, and reports.
Tools like Tableau, Power BI, and matplotlib help in creating visual narratives for stakeholders.
Business Insights and Recommendations
Translate data-driven insights into actionable recommendations.
Support business units (marketing, sales, finance, operations) with data-backed strategies.

📌 Data Analyst Bengaluru (India)
🏢 Vibry Business Solutions
📍 India