As a Data Analyst, I am responsible for analyzing large datasets to uncover trends, insights, and patterns that can help company make informed business decisions. You will collaborate with various departments to identify their data needs and provide actionable insights through detailed reports and visualizations.and these things to be done with the deep knowledge of Python (Numpy , pandas, matplotlib) sql ( for data extraction from database) , Ms Excel.
Key Responsibilities:
- Data Collection & Processing: Collect, clean, and preprocess data from various sources.
- Analysis & Interpretation: Analyze datasets to identify trends, patterns, and insights. Interpret data and develop recommendations based on your findings.
- Reporting: Create detailed reports and dashboards to communicate insights and recommendations to stakeholders.
- Collaboration: Work closely with cross-functional teams (e.g., marketing, finance, product) to understand their data needs and provide solutions.
- Tools & Techniques: Utilize statistical methods, machine learning, and data visualization tools to analyze data.
- Quality Assurance: Ensure data accuracy and integrity by performing regular audits and validations.
- Project Management: Manage and prioritize multiple projects and deadlines effectively.