Lead Assistant Manager-Data Management and Analytics-Business Intelligence

As an ETL cum BI Engineer at our company, your role will involve maintaining, optimizing, and enhancing the reporting infrastructure with a focus on Tableau and Databricks. Your responsibilities will include: - **Dashboard Maintenance & Optimization** - Maintain and troubleshoot existing Tableau dashboards for accuracy, performance, and reliability. - Oversee active dashboards for recurring reporting, ensuring they meet stakeholder needs. - Enhance dashboards by adding new filters, drilldowns, and visual elements based on feedback. - Integrate economic impact data and expand scorecard views for comprehensive insights. - Build new benchmarks such as Regional, International (excluding US), and Global Benchmark views. - **Data Flow & Enablement** - Ensure timely data uploads and transformations across systems from SurveyMonkey to Databricks to Tableau. - Monitor and update mapping tables to reflect data changes or new business logic. - Optimize data structures within Databricks to support efficient reporting and analytics. - Develop mapping documentation for survey answer options for clear traceability. - Modify mapping logic to support new data views, metrics, or filters. - **New Development** - Create new Tableau dashboards for specific stakeholder groups and international geographies. - Collaborate with stakeholders to translate reporting requirements into scalable data solutions. - Support data quality checks, pipeline monitoring, and ETL troubleshooting. **Requirements** - Bachelor's degree in Computer Science, Information Systems, Mathematics, or related field. - 3-6 years of experience in BI development, ETL, or data analytics roles. - Proven expertise in Tableau, Databricks, SQL, and data transformation. - Understanding of data modeling and reporting best practices. - Experience managing data pipelines from external sources like SurveyMonkey. - Ability to work independently and manage multiple projects simultaneously. **Preferred Qualifications and Skills** - Familiarity with Delta Lake, PySpark, or other distributed data processing tools. - Knowledge of data governance, metadata documentation, and version control. - Strong analytical and problem-solving skills with attention to detail. - Excellent communication and collaboration skills. - Prior experience in sports, gaming, and entertainment industries.,