Tableau Developer Analyst, Retail Customer Care
Role Overview
The role sits in Global Business Operations and focuses on Retail Contact Center performance and decision support.
The position shapes the reporting infrastructure and roadmap for the Retail Customer Care organization.
Key Skills for This Role
Full Job Posting
Role overview
The role sits in Global Business Operations and focuses on Retail Contact Center performance and decision support.
The position shapes the reporting infrastructure and roadmap for the Retail Customer Care organization.
Responsibilities
- Own the development, enhancement, and maintenance of Tableau dashboards, extracts, and schedules.
- Create interactive, user-friendly dashboards and reports in Tableau Desktop and Tableau Server to guide decisions with meaningful insights.
- Prepare data with Tableau Prep and apply data-visualization best practices.
- Verify data accuracy and consistency with data engineers and analysts; diagnose and resolve data or performance issues in sources, dashboards, and reports.
- Develop and maintain reporting-access strategy and implement user access accordingly.
- Serve as a Tableau subject matter expert, learn new features, and help expand team knowledge.
- Translate stakeholder requirements into functional specifications for dashboards and communicate insights to leadership through data storytelling.
- Join occasional cross-functional meetings with teams in the Americas, EMEIA, and APAC during overlapping business hours.
Minimum qualifications
- At least 5 years of professional experience in operations, analytics, management consulting, corporate strategy, or equivalent.
- At least 3 years of proven experience developing and working with Tableau-driven dashboards and analytics.
- Advanced proficiency with Tableau Prep, Tableau Desktop, and Tableau Server.
- Excellent database-concepts knowledge and extensive hands-on SQL experience.
- Effective presentation and communication skills, including concise explanation of complex data and charts to large cross-functional audiences.
- Proven problem-solving and cross-functional project-work experience.
Preferred qualifications
- At least 7 years of relevant professional experience is preferred.
- A bachelor's degree in engineering, mathematics, finance, statistics, economics, or another quantitative area is preferred; a master's degree is a plus.
- Strong Python knowledge is preferred.
- Strong work ethic, attention to detail, multitasking, project prioritization, and relationship-building with senior collaborators are preferred.
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