What is your mission? 

You will provide the best service to our partner brands by performing these tasks:

• Develop, edit, and maintain advanced Tableau dashboards using multiple data sources including live and frequently refreshed datasets.
• Create scalable analytics visualizations that support large and evolving datasets while maintaining strong dashboard performance.
• Use Tableau Prep to clean, transform, and harmonize datasets and maintain reusable data preparation flows.
• Manage schema changes, data quality issues, and updates to business definitions across Tableau Prep workflows.
• Blend and join data using SQL to support integrations, validations, and troubleshooting.
• Support data validation and issue resolution across dashboards and source systems.
• Build automation workflows using SQL, Python, or similar tools to streamline dashboard support.
• Contribute to internal reporting systems supporting corporate analytics functions.
• Create and manage Tableau Alerts for data changes and monitoring thresholds.
• Publish, refresh, and maintain dashboards in Tableau Server/Cloud while optimizing extracts, live connections, and refresh schedules.
• Collaborate with stakeholders to translate reporting requirements into effective visual solutions.
• Meet with technical teams to ensure dashboard accuracy, scalability, and long-term maintainability.

Who are we looking for?

• Bachelor’s degree in any field related to data, analytics, information systems, or equivalent experience.
• Proven experience building and maintaining Tableau dashboards on large and frequently changing datasets.
• Expert-level proficiency in Tableau Desktop and Tableau Prep.
• Strong SQL skills for blending, joins, validation, and troubleshooting.
• Experience working with multiple data sources including live connections.
• Ability to optimize dashboard performance and resolve data integrity issues.
• Experience using Tableau Server/Cloud including publishing, refresh management, alerts, and extract optimization.
• Solid understanding of data quality best practices and experience supporting production analytics environments.
• Experience with digital media data including advertising, web analytics, audience metrics, or campaign performance.
• Exposure to enterprise or cloud data platforms.
• Experience with Python or scripting for automation is preferred but strong SQL expertise is acceptable.
• Proficient in English and capable of independent problem-solving.
• Strong analytical ability, attention to detail, and cross-functional collaboration skills.
• Team player who is comfortable sharing daily tasks and providing visibility into workflows.