[Remote] Data Strategist & Analytics Specialist

Remote Full-time
Note: The job is a remote job and is open to candidates in USA. SMX is a team of technical and domain experts dedicated to enabling mission success, particularly within national security initiatives for the DoD. They are seeking an experienced Data Strategist & Analytics Specialist to manage the full data lifecycle, ensuring data accuracy and efficiency across operations. The role involves developing data strategies, overseeing data validation, and optimizing data workflows to support organizational objectives.ResponsibilitiesEvaluate, vet, and validate data sources for accuracy, reliability, completeness, and relevance to mission requirementsConduct structured assessments of data providers to determine operational and analytical value, and provide go/no-go recommendations to leadershipMaintain a registry of approved, conditional, and rejected data sources with supporting rationaleReview and quality-assure Data Visualization Review (DVR) products created by subcontractors in response to supported unit Requests for Information (RFIs)Assess DVR deliverables against defined standards for accuracy, design fidelity, analytical integrity, and alignment with the originating RFIProvide written feedback, approval, or rejection of subcontractor products, and coordinate revisions as neededDevelop, document, and maintain a comprehensive TMN Data Strategy that aligns data collection, management, and dissemination practices with organizational and mission objectivesIdentify capability gaps in current data infrastructure and recommend improvementsEstablish data governance frameworks including ownership, stewardship, quality standards, and lifecycle policiesAnalyze current data usage patterns and identify redundancies, inefficiencies, and underutilized assets across the organizationImplement best practices to maximize the value extracted from existing data resources while reducing waste and duplicationCollaborate with supported units and internal stakeholders to align data consumption with operational prioritiesDesign, document, and optimize end-to-end data workflows, including ingestion, processing, storage, access, and dissemination pipelinesStandardize workflow procedures to ensure repeatability, traceability, and quality control across all data operationsWork with technical teams to automate or streamline manual data processes where feasibleConduct structured evaluations of current and prospective data providers to assess the value, reliability, and mission relevance of their offeringsDevelop and apply a repeatable provider assessment methodology, including criteria such as data freshness, coverage, accuracy, licensing, and cost-benefit analysisProduce provider validation reports and present findings and recommendations to decision-makersSkillsBachelor's degree in Data Science, Information Systems, Operations Research, Computer Science, or a related field (Master's preferred)5+ years of experience in data analysis, data management, or a related discipline, preferably in a defense, intelligence, or government contracting environmentDemonstrated experience reviewing and evaluating data products or visualizations for technical accuracy and analytical qualityStrong understanding of data governance, data quality frameworks, and lifecycle management principlesExperience developing or contributing to organizational data strategies or roadmapsProficiency with data visualization tools (e.g., Tableau, Power BI, ArcGIS, or similar platforms)Familiarity with structured data environments, relational databases, and common data formats (JSON, XML, CSV, shapefiles, etc.)Excellent written and verbal communication skills; ability to produce clear technical documentation and present findings to both technical and non-technical audiencesMust have an active DoD Secret security clearanceExperience working within or in direct support of military or DoD organizational structures, particularly in a TMN, C2, or ISR contextFamiliarity with RFI/DVR processes and subcontractor product review workflowsKnowledge of geospatial data sources and GEOINT productsExperience with data pipeline tools (e.g., Apache NiFi, Databricks, etc.)Relevant certifications such as Certified Data Management Professional (CDMP), CompTIA Data+, or equivalentDoD Top Secret and TS-SCI preferredBenefitsHealth insurancePaid leaveRetirementCompany OverviewSMX is a provider of information technology (IT), services, and advanced engineering with a focus on Cloud Solutions. It was founded in 1995, and is headquartered in Hollywood, Maryland, USA, with a workforce of 1001-5000 employees. Its website is https://www.smxtech.com.

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