Tableau Dashboard Architect & Data Visualization Lead

Machine Intelligence Technologies, LLC

Beaverton (OR)

On-site

USD 83,000 - 124,000

Part time

29 hours ago
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Job summary

MACHINE INTELLIGENCE TECHNOLOGIES LLC in Beaverton, OR is seeking a skilled Tableau Developer for a 12-month contract to design, develop, and optimize interactive dashboards and visualizations.

This role collaborates with internal teams to translate business needs into Tableau solutions that align with corporate standards, with opportunities to mentor teammates and drive data governance.

Strong communication, maintainable code practices, and proficiency with Excel are essential for success.

Qualifications

  • 5+ years of Tableau development experience.
  • Strong client-facing skills and ability to communicate complex concepts clearly.
  • Experience with structured, maintainable coding and deployment processes.
  • Proficient in Microsoft Office (Excel, Word, Outlook).

Responsibilities

  • Design and build insightful Tableau dashboards and reports.
  • Prepare and integrate data from multiple sources (databases, cloud, flat files).
  • Develop and optimize data models and calculations within Tableau.
  • Improve dashboard performance and resolve bottlenecks.
  • Apply data visualization and UX best practices.
  • Collaborate with stakeholders to gather requirements and deliver solutions.
  • Ensure data governance and security compliance.
  • Document solutions and provide training/support.
  • Lead by example and mentor team members.

Skills

Tableau development
Client communication
Data modeling
Excel

Tools

Tableau

Job description

MACHINE INTELLIGENCE TECHNOLOGIES LLC in Beaverton, OR is seeking a skilled Tableau Developer for a 12-month contract to design, develop, and optimize interactive dashboards and visualizations.

This role collaborates with internal teams to translate business needs into Tableau solutions that align with corporate standards, with opportunities to mentor teammates and drive data governance.

Strong communication, maintainable code practices, and proficiency with Excel are essential for success.

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