Data Analyst

Job Summary

Auriga IT is seeking a highly skilled Data Analyst with 3-5 years of experience, specializing in Power BI, Python, and SQL. The role involves transforming complex data into insightful dashboards, analytical models, and actionable business intelligence solutions. The ideal candidate will drive data initiatives, work with cross-functional teams, and support decision-making through high-impact reports.

Job Roles & Responsibilities

• Strong hands-on expertise in Power BI (DAX, Power Query, Data Modelling)
• Excellent command of SQL (CTEs, Joins, Window Functions, Query Optimization)
• Proficient in Python for data cleaning, automation, and analytics (Pandas, NumPy)
• Design, develop, and maintain Power BI dashboards, visualizations, and reports
• Clean, transform, and model structured & unstructured data for analysis
• Write advanced SQL queries for data extraction, performance optimization, and analytics
• Ability to translate business questions into clear analytical outputs
• Strong communication and presentation skills
• Detail-oriented with a high level of accuracy
• Design, develop, and maintain Power BI dashboards, visualizations, and reports
• Clean, transform, and model structured & unstructured data for analysis
• Write advanced SQL queries for data extraction, performance optimization, and analytics
• Use Python for data processing, automation, statistical analysis, and predictive modeling
• Implement data visualization using libraries such as Matplotlib, Seaborn, Plotly, or Dash
• Work with business teams to gather analytical requirements and convert them into insights
• Ensure data accuracy, consistency, and integrity across all reporting layers
• Generate ad-hoc reports, KPI dashboards, and performance metrics
• Collaborate with engineering, product, and business teams to solve data-driven problems
• Present findings to stakeholders using clear, concise storytelling
• Continuously optimize dashboards for better performance and usability
• Stay updated with modern BI tools, analytics techniques, and industry best practices