Data Analyst [ ETL | Python | SQL]  

Key Responsibilities:

• Data Transformation: Utilize SQL and Python scripting to clean, transform, and aggregate complex, messy datasets from various sources, preparing them for analysis.
• ETL Support: Collaborate with Data Engineering to monitor, troubleshoot, and optimize data loading and transformation workflows (ETL/ELT)
• Reporting & Visualization: Design, develop, and maintain high-impact dashboards and reports using Power BI to track key business metrics (KPIs).
• Advanced Calculation: Apply DAX (Data Analysis Expressions) to create sophisticated measures, calculated columns, and complex aggregations within Power BI models.
• Business Insight: Conduct deep-dive analyses to identify trends, root causes, and business opportunities, presenting findings clearly to non-technical stakeholders.
• Data Governance: Ensure data accuracy, consistency, and compliance across all reports and analyses.

• at least 2-3 years of professional experience in a Data Analyst, BI Analyst, or similar role.
• Expert proficiency in SQL for querying complex datasets, writing stored procedures, and optimizing query performance.
• Strong working knowledge of Python for data manipulation, scripting, and automation (e.g., using libraries like Pandas).
• Proven experience in developing and maintaining professional dashboards using Power BI.
• Practical experience and a solid understanding of Data Analysis Expressions (DAX), including time intelligence, iterative functions, and security roles.
• Familiarity with ETL/ELT concepts and best practices for moving and transforming data from source to target systems.
• Excellent analytical and problem-solving skills with a keen attention to detail.