data & tableau specialist

As a Data & Tableau Specialist, your primary focus will be to support and enhance the Marketing Insights dashboard. This critical analytics product is utilized for tracking marketing performance, engagement, and pipeline impact across various technologies and campaigns. Your responsibilities will include ensuring the health of data pipelines, maintaining data quality, troubleshooting issues, and continuously improving reporting and dashboards. You should enjoy being hands-on with data, possess a thorough understanding of dashboard functionalities, and be able to identify and address issues in reporting connected to underlying data sources. Key Responsibilities: - Support and monitor data orchestration workflows feeding the reporting data layer. - Troubleshoot job failures, data delays, or metric issues, providing clear analysis of root causes. - Resolve data issues, optimize SQL logic, and enhance job performance as necessary. - Conduct data audits when new data objects or attributes are introduced. - Investigate data discrepancies by tracing issues from Tableau dashboards back to source systems. - Enhance Tableau dashboards, including calculations, filters, and performance tuning. - Assist in ongoing dashboard maintenance and improvements in metric logic and usability. - Document findings, fixes, and enhancements for long-term clarity and consistency. Qualifications Required: - Strong hands-on experience with SQL, including writing and debugging complex queries (5-7 years). - Solid understanding of data analysis and data architecture, particularly reporting data layers. - Proficiency in Tableau Desktop. - Comfortable troubleshooting data pipeline issues and dashboard-level problems. - Ability to analyze data deeply and effectively communicate issues to the team. - Experience in working independently and managing multiple tasks within a fast-paced environment. Nice to Have: - Exposure to marketing, campaign, or pipeline analytics. - Understanding of attribution models or marketing performance metrics. If you require any further information about the company, please let me know. As a Data & Tableau Specialist, your primary focus will be to support and enhance the Marketing Insights dashboard. This critical analytics product is utilized for tracking marketing performance, engagement, and pipeline impact across various technologies and campaigns. Your responsibilities will include ensuring the health of data pipelines, maintaining data quality, troubleshooting issues, and continuously improving reporting and dashboards. You should enjoy being hands-on with data, possess a thorough understanding of dashboard functionalities, and be able to identify and address issues in reporting connected to underlying data sources. Key Responsibilities: - Support and monitor data orchestration workflows feeding the reporting data layer. - Troubleshoot job failures, data delays, or metric issues, providing clear analysis of root causes. - Resolve data issues, optimize SQL logic, and enhance job performance as necessary. - Conduct data audits when new data objects or attributes are introduced. - Investigate data discrepancies by tracing issues from Tableau dashboards back to source systems. - Enhance Tableau dashboards, including calculations, filters, and performance tuning. - Assist in ongoing dashboard maintenance and improvements in metric logic and usability. - Document findings, fixes, and enhancements for long-term clarity and consistency. Qualifications Required: - Strong hands-on experience with SQL, including writing and debugging complex queries (5-7 years). - Solid understanding of data analysis and data architecture, particularly reporting data layers. - Proficiency in Tableau Desktop. - Comfortable troubleshooting data pipeline issues and dashboard-level problems. - Ability to analyze data deeply and effectively communicate issues to the team. - Experience in working independently and managing multiple tasks within a fast-paced environment. Nice to Have: - Exposure to marketing, campaign, or pipeline analytics. - Understanding of attribution models or marketing performance metrics. If you require any further information about the company, please let me know.