Hiring for Data Analytics_Chennai 
 Data Collection & Cleaning:
 Gather, clean, and preprocess data from multiple sources (e.g., databases, APIs, flat files) to ensure data quality and consistency for analysis. 
 Data Analysis & Interpretation:
 Analyze large datasets to identify trends, patterns, and correlations, providing actionable insights for business stakeholders. 
 Reporting & Dashboards:
 Create and maintain reports, dashboards, and visualizations using tools like Power BI, Tableau, or Excel to communicate findings and key metrics to stakeholders. 
 Predictive Modeling & Forecasting:
 Build statistical models and machine learning algorithms to predict future trends, behaviors, or outcomes (e.g., customer churn, sales forecasting). 
 Statistical Analysis:
 Use statistical methods to test hypotheses and validate findings. Perform A/B testing, regression analysis, and other statistical analyses to drive decision-making               
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