Tableau Developer Analyst, Retail Customer Care
Role Overview
Join the Global Business Operations team, focused on Retail Contact Center performance and decision support.
Help shape reporting infrastructure and the reporting roadmap for Retail Customer Care.
This is an individual-contributor role requiring comprehensive data visualization knowledge.
Key Skills for This Role
Full Job Posting
Role overview
Join the Global Business Operations team, focused on Retail Contact Center performance and decision support.
Help shape reporting infrastructure and the reporting roadmap for Retail Customer Care.
This is an individual-contributor role requiring comprehensive data visualization knowledge.
Responsibilities
- Own development, enhancement, and maintenance of Tableau dashboards, extracts, and schedules for contact center metrics and analytics.
- Build interactive, user-friendly Tableau Desktop and Server reports that provide insights and guide decisions.
- Verify data accuracy with data engineers and analysts; diagnose and resolve data or performance issues.
- Develop a reporting access strategy and implement and maintain user access.
- Translate stakeholder requirements into dashboard functional specifications and communicate insights to leadership.
- Share Tableau knowledge and techniques with team members.
- Attend occasional cross-functional meetings across 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 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 explaining complex data to large cross-functional audiences.
- Proven problem-solving and cross-functional project 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, ability to balance projects, and ability to meet timelines.
- Ability to stay positive under stress and multitask in a dynamic environment.
- Experience developing relationships with senior collaborators is preferred.
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