Data Analyst (Only Female)

You will be responsible for: - Designing and implementing business intelligence solutions and dashboards using SQL and Tableau to generate insights and provide decision support for enterprise clients - Supporting data engineering using ETL tools and building enterprise data warehouses - Working with stakeholders to determine business requirements, set priorities, define key performance indicators (KPIs), and develop BI and data warehouse strategy - Analyzing large amounts of raw data and summarizing it into clear, accurate, meaningful, and value-added reports and analysis - Identifying new and emerging technologies and enhancing existing processes related to analytics and business intelligence The company, Decision Tree Analytics and Services, is a global provider of advanced analytics and campaign management solutions. They help companies sift through large volumes of data, both on-premise and cloud, through data integration and automation. Additionally, they assist in identifying patterns using advanced machine learning algorithms and extracting sustainable insights that help in accelerating decision-making. You will be responsible for: - Designing and implementing business intelligence solutions and dashboards using SQL and Tableau to generate insights and provide decision support for enterprise clients - Supporting data engineering using ETL tools and building enterprise data warehouses - Working with stakeholders to determine business requirements, set priorities, define key performance indicators (KPIs), and develop BI and data warehouse strategy - Analyzing large amounts of raw data and summarizing it into clear, accurate, meaningful, and value-added reports and analysis - Identifying new and emerging technologies and enhancing existing processes related to analytics and business intelligence The company, Decision Tree Analytics and Services, is a global provider of advanced analytics and campaign management solutions. They help companies sift through large volumes of data, both on-premise and cloud, through data integration and automation. Additionally, they assist in identifying patterns using advanced machine learning algorithms and extracting sustainable insights that help in accelerating decision-making.