Data Analyst

• Analyze large datasets to identify trends, patterns, and actionable insights for business decisions
• Write and optimize SQL queries to extract, aggregate, and validate data from multiple sources
• Use Python for data cleaning, transformation, and advanced analytics, including statistical modeling
• Develop and maintain Power BI dashboards and reports to visualize key metrics and KPIs
• Work with notebooks (Jupyter or similar) to document analysis workflows and share reproducible results
• Collaborate with stakeholders to understand requirements and deliver data-driven solutions
• Perform exploratory data analysis (EDA) and generate summary statistics for decision-making
• Ensure data accuracy, consistency, and integrity through rigorous validation and quality checks
• Automate repetitive data tasks using Python scripts and scheduling tools
• Communicate findings clearly through reports, presentations, and visualizations for business teams

• Strong proficiency in SQL for querying, data manipulation, and performance optimization
• Hands-on experience with Python for data analysis, including libraries like Pandas, NumPy, and Matplotlib
• Expertise in Power BI for creating dashboards, reports, and implementing DAX calculations
• Familiarity with notebook environments (Jupyter or similar) for interactive analysis and documentation
• Solid understanding of data cleaning, transformation, and preparation techniques
• Ability to perform statistical analysis and interpret results for actionable insights
• Knowledge of data visualization best practices and storytelling with data
• Strong problem-solving and analytical skills with attention to detail
• Excellent communication skills and ability to work effectively in a 2 PM–11 PM IST shift
• Experience with Microsoft Fabric or cloud-based analytics platforms is a strong plus

Experience with Microsoft Fabric or cloud-based analytics platforms