Data Analyst Business Insights

Role Overview: As a Data Analyst & Business Insights Team Manager at our Chennai office, your primary responsibility will be to fetch and transform data from various systems, conduct in-depth analyses to identify gaps, opportunities, and insights, and provide recommendations that support strategic business decisions. Key Responsibilities: - Data Extraction and Transformation: - Fetch data from multiple systems, transform it to create a unified dataset, and ensure data accuracy. - Data Analysis and Insight Generation: - Analyze large datasets to identify patterns, gaps, and trends. - Develop actionable insights and recommendations that support business objectives. - Visualization and Reporting: - Create impactful visualizations and reports to effectively communicate findings to stakeholders. - Collaboration: - Partner with cross-functional teams to align analytical projects with business goals and translate findings into strategic recommendations. Qualification Required: - Bachelors or Masters degree in Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering. - Extensive experience in Data Lake architecture, building data pipelines using AWS services like EC2, Lambda, Redshift, Glue, Athena, CloudWatch, and S3. - Proficiency in Python and SQL. - Experience in the banking domain. - High motivation, good work ethic, maturity, and personal initiative. - Strong oral and written communication skills. Role Overview: As a Data Analyst & Business Insights Team Manager at our Chennai office, your primary responsibility will be to fetch and transform data from various systems, conduct in-depth analyses to identify gaps, opportunities, and insights, and provide recommendations that support strategic business decisions. Key Responsibilities: - Data Extraction and Transformation: - Fetch data from multiple systems, transform it to create a unified dataset, and ensure data accuracy. - Data Analysis and Insight Generation: - Analyze large datasets to identify patterns, gaps, and trends. - Develop actionable insights and recommendations that support business objectives. - Visualization and Reporting: - Create impactful visualizations and reports to effectively communicate findings to stakeholders. - Collaboration: - Partner with cross-functional teams to align analytical projects with business goals and translate findings into strategic recommendations. Qualification Required: - Bachelors or Masters degree in Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering. - Extensive experience in Data Lake architecture, building data pipelines using AWS services like EC2, Lambda, Redshift, Glue, Athena, CloudWatch, and S3. - Proficiency in Python and SQL. - Experience in the banking domain. - High motivation, good work ethic, maturity, and personal initiative. - Strong oral and written communication skills.