AWS QuickSight BI Developer

The Opportunity

TSPi is seeking a skilled AWS QuickSight BI Developer to design, develop, and maintain scalable business intelligence and reporting solutions for enterprise customers.

• Translate reporting requirements into interactive dashboards, curated datasets, reusable reporting components, and governed analytics solutions within the AWS environment.
• Build high-performance dashboards optimized for large data volumes, usability, refresh efficiency, and operational reliability.
• Create and maintain curated datasets, semantic reporting layers, and reusable data models that support enterprise reporting needs.
• Create standardized dashboard templates, QuickSight themes, KPI definitions, calculated fields, and modular reporting components for reuse across programs and business units.
• Implement row-level security, role-based access controls, and governance controls to protect data and ensure proper user access.
• Collaborate with business stakeholders, analysts, and technical teams to gather requirements and translate them into scalable BI solutions.
• Enable self-service analytics by developing reusable reporting frameworks, documentation, training materials, and user guidance.
• Integrate and optimize data sources from AWS services such as Redshift, Athena, S3, RDS, and Glue Data Catalog, and coordinate with data engineering teams to ensure data quality and availability.
• Optimize the use of SPICE and direct query approaches to balance dashboard performance, refresh schedules, and cost efficiency.
• Maintain BI development standards, naming conventions, version control practices, and dashboard governance processes.
• Support testing, defect resolution, release activities, and continuous improvement of BI products and analytics services.
• Leverage AI-assisted development tools and emerging generative AI capabilities to improve dashboard development, reporting automation, documentation, and analytics delivery while following organizational security and governance standards.

Essential Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Business, or a related field. Equivalent relevant experience may be substituted where appropriate.
• BA/BS with (5-8) years of experience, or master’s degree with 3+ years of experience, OR the equivalent combination of education and experience.
• Typically 5–8 years of relevant experience in business intelligence, analytics engineering, reporting, or data visualization for enterprise environments.
• Demonstrated hands-on experience developing dashboards and reporting solutions in Amazon QuickSight.
• Strong proficiency in SQL and relational/analytic data modeling.
• Experience working with AWS analytics and data services, including several of the following: Athena, Redshift, S3, RDS, and Glue.
• Experience developing reusable datasets, calculated fields, KPIs, reporting templates, and dashboard frameworks.
• Knowledge of dashboard performance tuning, dataset optimization, and reporting cost-management practices.
• Experience using AI-assisted development or analytics tools (such as Amazon Q, GitHub Copilot, ChatGPT Enterprise, or similar) to improve productivity, troubleshoot technical issues, or accelerate business intelligence and reporting workflows.
• Strong written and verbal communication skills, with the ability to explain technical solutions to non-technical stakeholders.
• Ability to obtain and maintain public trust access for federal information systems and successfully complete a federal background check.
• US work authorization required.

Preferred Qualifications

• Experience implementing QuickSight templates, themes, reusable datasets, and parameterized dashboards.
• Experience establishing BI governance standards, semantic layers, and metric definitions across multiple reporting products.
• Familiarity with ETL and data pipeline concepts and coordination with data engineering teams.
• Experience optimizing analytics workloads for performance and AWS cost efficiency.
• Experience supporting large-scale enterprise reporting environments with multiple stakeholder groups.
• Familiarity with other BI platforms such as Tableau, Power BI, or Looker.
• AWS certification or other relevant cloud/data analytics certifications.
• Experience in a client-facing consulting or federal contracting environment.