Senior QuickSight Analytics & Dashboard Engineer

Relha LLC

Baltimore (MD)

Hybrid

USD 108,000 - 180,000

Full time

33 hours ago
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Job summary

Deloitte is seeking a Data Engineer III to design, build, and maintain data-driven reporting and dashboard solutions that empower client decision-making. You will analyze client data environments, translate requirements into scalable analytics assets, and develop interactive dashboards using Amazon QuickSight.

The role requires hands-on Python expertise, strong problem-solving, and the ability to manage multiple tasks in a fast-paced environment.

Qualifications

  • 5+ years of Python experience including analyzing client environments and developing automation or reporting enhancements.
  • 2+ years designing, developing, and implementing interactive dashboards and visualizations with Amazon QuickSight.
  • 2+ years gathering, documenting, and translating business and technical requirements into dashboards, data models and scalable analytics solutions.
  • Willingness to travel 10% on average.
  • Must be legally authorized to work in the United States without employer sponsorship.

Responsibilities

  • Design, build, deploy, and maintain data-driven reporting and dashboard solutions.
  • Analyze client data environments and existing Python code to identify improvements.
  • Gather business requirements and translate them into scalable analytics assets.
  • Develop reporting logic, metrics, and business rules to support insights.
  • Integrate and model data from multiple sources for analytics and reporting.

Skills

Python
Amazon QuickSight
Data pipelines
Data modeling
Analytical thinking
Communication
Project leadership

Education

Bachelor’s degree
Master’s degree (preferred)

Tools

Python
Amazon QuickSight

Job description

Deloitte is seeking a Data Engineer III to design, build, and maintain data-driven reporting and dashboard solutions that empower client decision-making. You will analyze client data environments, translate requirements into scalable analytics assets, and develop interactive dashboards using Amazon QuickSight.

The role requires hands-on Python expertise, strong problem-solving, and the ability to manage multiple tasks in a fast-paced environment.

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