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 robust 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: Robust 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.
Robust understanding of data analysis, data cleaning, and data validation.
Good communication skills with the ability to present insights to technical and non-technical stakeholders.

📌 Senior Data Analyst Bengaluru (India)
🏢 Indium software
📍 India