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Remote mid-level BI role with generalist responsibilities but QuickSight specialization moderates applicant density.
BI and analytics skills are broadly transferable, though QuickSight/AWS specifics require platform experience.
Explicit 5+ years plus mandatory QuickSight, SQL, BI migration and AWS analytics skills increase filtering strictness.
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Lead analytics and reporting for a large-scale AWS data platform modernization, focusing on designing semantic data models and standardizing enterprise KPI definitions.
Build, migrate, and optimize executive and self-service dashboards, primarily using Amazon QuickSight and transitioning workloads from Power BI.
Enable advanced analytics experiences including natural language querying and AI-assisted data exploration, ensuring governance, performance tuning, and stakeholder collaboration.
Minimum 5 years of experience in Business Intelligence or related analytics engineering roles.
Strong hands-on expertise with Amazon QuickSight including datasets, SPICE, calculated fields, parameters, and row-level security.
Proven experience migrating dashboards from Power BI to Amazon QuickSight or equivalent BI-to-BI platform migration.
Strong SQL skills and solid understanding of dimensional data modeling and semantic layers for enterprise KPI standardization.
Experienced in cloud-based BI environments, particularly AWS analytics stack including Amazon Redshift, Athena, and S3 as data sources.
Capable of translating complex business requirements into governed, scalable reporting solutions with strong data storytelling and UX design skills.
Familiar with modern BI development practices such as version control (Git) and CI/CD integration; able to collaborate with data engineering and business stakeholders for cross-functional KPI definition and reporting governance.