Key Responsibilities • Analyze large-scale operational and business datasets to identify trends, performance gaps, and improvement opportunities. • Develop and maintain dashboards, reports, and KPI tracking tools using Power BI, Tableau, or similar visualization platforms. • Perform data extraction, transformation, and analysis using SQL and Python. • Support business decision-making through statistical analysis, forecasting, and performance reporting. • Monitor operational performance and identify root causes of underperformance. • Conduct customer, market, and competitor analytics to support business growth initiatives. • Design and execute A/B testing and experimental analysis to evaluate business hypotheses. • Automate reporting and analytics processes to improve efficiency and accuracy. • Collaborate with operations, engineering, finance, sales, and customer support teams to implement data-driven solutions. • Develop predictive models and analytical frameworks to support business objectives. • Present findings and recommendations to stakeholders through reports and presentations. Qualification • B.E./B.Tech in Computer Science, Information Technology, Electrical, Electronics, Data Science, or related discipline • Master's degree in Analytics, Data Science, Management, or equivalent preferred