Sr Data Analytics

Role & responsibilities

• Analyzed large and complex datasets using SQL, Python, Excel, and BI tools to identify trends, patterns, and business insights.
• Developed and maintained Power BI/Tableau dashboards to track KPIs and business performance.
• Performed data cleaning, transformation, validation, and reconciliation to ensure data accuracy and consistency.
• Created complex SQL queries, joins, CTEs, subqueries, and window functions for data extraction and analysis.
• Built DAX measures and calculated columns for advanced Power BI reporting and analytics.
• Automated recurring reports and manual processes using Python, SQL, Excel, and Power Query, reducing operational effort.
• Conducted root cause analysis to identify business issues and provide actionable recommendations.
• Performed trend analysis, forecasting, and statistical analysis to support business planning and decision-making.
• Collaborated with business stakeholders, product teams, and cross-functional teams to understand requirements and deliver analytical solutions.
• Defined and monitored KPIs, business metrics, and performance indicators through interactive dashboards