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QuickSight Developer

Job in New York, New York County, New York, 10261, USA
Listing for: SGS Consulting
Full Time position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Location: New York

Job Responsibilities:
  • Analyze existing reports and dashboards in Cognos and Tableau to understand data sources, business logic, and visualizations.
  • Redesign and rebuild these reports in Amazon Quick Sight, ensuring data accuracy, performance, and usability.
  • Collaborate with data engineers to ensure Quick Sight has appropriate access to required data sources (e.g., Redshift, S3, RDS, Athena).
  • Work with business stakeholders to validate requirements and gather feedback on new report designs.
  • Optimize performance and usability of Quick Sight dashboards for both technical and non-technical users.
  • Document the migration process, including report mappings, data transformations, and visual elements.
  • Provide knowledge transfer and training to team members and end-users on Quick Sight.
  • Maintain security and access control for Quick Sight assets using AWS Identity and Access Management (IAM) and row-level security.
  • Troubleshoot and resolve issues related to data discrepancies, performance, and visualization.
Skills:
  • 3+ years of experience in business intelligence or data visualization roles.
  • 1+ years of hands-on experience with Amazon Quick Sight.
  • Strong experience with Cognos and Tableau, especially in report development and dashboard design.
  • Proficiency in SQL and experience working with large datasets.
  • Solid understanding of data modeling and ETL concepts.
  • Familiarity with AWS data services (e.g., Redshift, S3, Athena, RDS).
  • Experience with version control and collaborative development tools (e.g., Git).
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to manage multiple priorities and work independently in a fast-paced environment.
Education/

Experience:
  • Experience in a cloud-first or AWS-native data environment.
  • Knowledge of scripting or automation tools for report migration or data validation.
  • AWS certification (e.g., AWS Certified Data Analytics – Specialty) is a plus.
  • Experience with user training and documentation
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