Senior Manager

Title - Data Analyst

Location - Bangalore (WFO)

• Write complex SQL queries to extract, clean, and analyze data from multiple databases.
• Build and maintain interactive dashboards and reports using tools such as Power BI, Tableau, or similar BI platforms.
• Perform data validation, reconciliation, and quality checks to ensure accuracy and reliability of insights.
• Use basic Python (pandas, NumPy, matplotlib/seaborn) for data analysis, automation, and exploratory data analysis (EDA).
• Analyze business problems, identify trends and patterns, and translate data into actionable insights.
• Work closely with stakeholders to understand requirements and convert them into analytical solutions.
• Support ad‑hoc analysis, KPI tracking, and performance reporting.
• Apply strong problem‑solving and analytical thinking to investigate data issues and recommend solutions.
• Document methodologies, assumptions, and findings clearly for business and technical audiences.
• Write complex SQL queries to extract, clean, and analyze data from multiple databases.
• Build and maintain interactive dashboards and reports using tools such as Power BI, Tableau, or similar BI platforms.
• Perform data validation, reconciliation, and quality checks to ensure accuracy and reliability of insights.
• Use basic Python (pandas, NumPy, matplotlib/seaborn) for data analysis, automation, and exploratory data analysis (EDA).
• Analyze business problems, identify trends and patterns, and translate data into actionable insights.
• Work closely with stakeholders to understand requirements and convert them into analytical solutions.
• Support ad‑hoc analysis, KPI tracking, and performance reporting.
• Apply strong problem‑solving and analytical thinking to investigate data issues and recommend solutions.
• Document methodologies, assumptions, and findings clearly for business and technical audiences.

Bachelors in IT or related field, 6-8 years of experience in business intelligence, data analysis, or related fields.