Data Analyst Analytics Internships New Batch

• Collecting and analyzing large data sets using statistical and data visualization tools
• Identifying patterns trends and correlations in data to inform business decisions
• Developing and maintaining databases data systems and data analytics tools
• Developing and implementing data analysis processes and methodologies
• Creating and delivering reports and presentations that clearly communicate data insights to management and other stakeholders
• Collaborating with other departments such as marketing and operations to develop datadriven solutions to business problems
• Ensuring data accuracy completeness and integrity
• Designing and conducting experiments to test hypotheses and validate assumptions
• Developing and maintaining predictive models to forecast business outcomes
• Total Post Qualification Experience: At least 9years in IT domain
• Should have experience of more than 4 years in Data Analytics domain
• Data analysts gather data from various sources within the organization including databases data warehouses and external sources. They ensure data quality and reliability through cleaning and integration processes.
• Data Analysis and Interpretation: Using statistical techniques data analysts analyze large datasets to identify trends patterns and correlations that can provide valuable insights for decisionmaking. They use tools like Excel SQL Python R and data visualization tools (Tableau Power BI) to perform this analysis.
• Reporting and Visualization: Data analysts create reports and dashboards that visualize their findings in a clear and understandable manner. These visualizations help stakeholders and decisionmakers grasp complex analytical results quickly.
• Predictive Analysis and Modeling: Data analysts build predictive models using statistical techniques and machine learning algorithms. These models forecast future trends and behaviors based on historical data enabling proactive decisionmaking and planning.
• Performance Tracking and KPI Monitoring: They track key performance indicators (KPIs) and metrics to assess the performance of business processes and initiatives. This monitoring helps in identifying areas for improvement and optimization.

data,analytics,models,visualization,data analysis,data analytics,data visualization,databases,decision-making,other