Senior Data Analyst

Key Responsibilities

• Analyze complex datasets to identify trends, patterns, and actionable business insights.
• Write and optimize advanced SQL queries involving joins, subqueries, CTEs, window functions, and data aggregation.
• Use Python for data cleaning, manipulation, analysis, and automation using libraries such as Pandas and NumPy.
• Develop and maintain dashboards and reports using data visualization tools such as Power BI, Tableau, or similar platforms.
• Apply strong problem-solving and analytical thinking to investigate business challenges and recommend data-driven solutions.
• Collaborate with cross-functional teams to understand business requirements and deliver meaningful insights.
• Ensure data accuracy, consistency, and quality across reports and analytical outputs.
• Communicate findings clearly to stakeholders through effective visualizations and presentations.

Required Skills & Qualifications

• Advanced SQL: Strong proficiency in complex queries, joins, CTEs, window functions, and query optimization.
• Intermediate Python: Hands-on experience with Pandas, NumPy, data manipulation, and analytical scripting.
• Data Visualization: Experience creating dashboards and reports using Power BI, Tableau, or similar tools.
• Analytical & Problem-Solving Skills: Ability to break down complex problems, identify root causes, and derive actionable insights.
• Strong understanding of data analysis, data cleaning, and data validation.
• Good communication skills with the ability to present insights to technical and non-technical stakeholders.