
201 - 500 employees
🏛️ Government
🏢 Enterprise
Government • Enterprise
TSPi is a small business IT services firm that designs and implements enterprise IT solutions to improve efficiency, increase performance, and accelerate customer success. The company focuses on application modernization, low-code platforms, cloud and DevOps architecture, and loans origination/management solutions for public sector clients. TSPi holds multiple federal contract vehicles (GSA MAS, CIO‑SP3, NASA SEWP V), maintains ISO and CMMI certifications, and operates as a value‑added reseller and incubator to accelerate government IT transformation.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $95k - $115k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Business Intelligence Developer
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201 - 500 employees
🏛️ Government
🏢 Enterprise
Government • Enterprise
TSPi is a small business IT services firm that designs and implements enterprise IT solutions to improve efficiency, increase performance, and accelerate customer success. The company focuses on application modernization, low-code platforms, cloud and DevOps architecture, and loans origination/management solutions for public sector clients. TSPi holds multiple federal contract vehicles (GSA MAS, CIO‑SP3, NASA SEWP V), maintains ISO and CMMI certifications, and operates as a value‑added reseller and incubator to accelerate government IT transformation.
• Design, develop, enhance, and maintain interactive dashboards, visualizations, analyses, and datasets in Amazon QuickSight. • Build high-performance dashboards optimized for large data volumes, usability, refresh efficiency, and operational reliability. • Develop 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. • Monitor and tune query and reporting performance across source systems and datasets and provide recommendations for cost-efficient reporting architectures. • Establish and 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.
• 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.
Apply Now🔥 13 hours ago
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