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.