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.