MicroStrategy BI Architect / Developer

Job Title: MicroStrategy BI Architect / DeveloperLocation: Reston, VADuration: 6+ Months

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Key ResponsibilitiesEnd-to-End Delivery: Serve as a hybrid Architect and Developer, building complex, responsive data analytics dashboards entirely from scratch using MicroStrategy while guiding overall structural best practices.AI Analytics Engineering: Leverage the latest cloud-native, generative AI-powered features of the MicroStrategy ecosystem to deliver modern analytics.Data Strategy & Schema Design: Collaborate directly with Data Modeling and Enterprise Solution Architecture teams to establish robust access controls, map semantic graphs, and dictate data pipelines feeding MicroStrategy.Mentorship & Leadership: Provide technical guidance to mid/senior developers and actively train and upskill junior-level team members.Governance & Optimization: Manage cloud-hosted workspaces, monitoring user adoption, query performance, and infrastructure behaviors.
Required SkillsRequired Experience & Technical Skills8+ years of recent, hands-on, MicroStrategy Platform experience, including: Advanced Analytics Reports, Visual Insight Dashboards and Report Services Document creation.Enterprise Scale: Proven experience working within a large-scale enterprise environment.MicroStrategy Platform Mastery: Comprehensive, hands-on experience with MicroStrategy ONE (the cloud-powered platform) and its specialized suite:MicroStrategy Mosaic (Studio & Sentinel) for semantic modeling, metadata oversight, and cloud cost/query governance.MicroStrategy AI / "Auto" suite (Auto Answers, Auto Dashboard, Auto SQL) to deliver generative AI solutions.MicroStrategy Cloud Environment (MCE) / MicroStrategy Cloud Platform (MCP) utilizing a cloud-managed server environment.
BI Tool Versatility: Strong background leveraging MicroStrategy as the core platform, balanced with hands-on experience utilizing secondary BI suites (e.g., Tableau or similar).Data Programming: Strong proficiency in SQL and/or Python for data manipulation, analytics automation, and database scripting (experience with both is highly preferred).Architectural Foundations: Full lifecycle experience setting up user access, building logical/physical schemas, and designing enterprise semantic layers.Experience working with Transformations, Complex reports, Report Services Documents (Dashboards), Rolling Metrics, Nested Metrics, Relationship Filters, VLDB Properties (multi-pass sql, hints, etc)
Preferred QualificationsHealthcare Payer Industry experience (highly preferred). xzbcwsv Demonstrated background or direct project exposure in Artificial Intelligence / Machine Learning (AI/ML) tracks.Experience with Big Data environments (Hadoop, Spark, Cassandra, etc.)