Data Analytics SME Top Secret clearance

• Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, Mathematics, Engineering, or a related technical discipline; equivalent experience may be considered.
• 12+ years of relevant experience in data analytics, business intelligence, data visualization, data engineering, or a related field;
  Minimum of 10 years with MS/MA;
  Minimum of 7 years with Ph.D.
• Active TS or Q clearance or higher is required. Ability to obtain Q/SCI.
• Demonstrated experience designing and implementing enterprise-scale data analytics and visualization solutions.
• Strong experience developing dashboards and interactive visualizations using one or more leading analytics/BI platforms.
• Experience working with large, complex, and heterogeneous datasets.
• Strong SQL skills and demonstrated ability to work with relational and/or analytical data platforms.
• Experience translating mission, operational, or business requirements into analytics solutions.
• Demonstrated ability to work across multiple organizations, technical teams, and stakeholder groups.
• Experience integrating data and analytics capabilities across disparate systems and organizational environments.
• Strong understanding of data management concepts, including data quality, metadata, data governance, interoperability, data standards, and data sharing.
• Excellent analytical, problem-solving, communication, and presentation skills.
• Ability to operate independently as an SME while collaborating effectively within multidisciplinary teams.

• Experience supporting the Intelligence Community, Department of Energy, or other U.S. Government mission environments.
• Experience with IC data-sharing initiatives, enterprise data platforms, or mission data ecosystems.
• Experience with data interoperability frameworks, common data models, metadata standards, APIs, or data exchange mechanisms.
• Experience with cloud-based analytics and data platforms, including AWS, Azure, or other government cloud environments.
• Experience developing reusable analytics frameworks, toolkits, APIs, or enterprise data products.

We are seeking an experienced Data Analytics Specialist / Subject Matter Expert (SME) to support a classified government contract. The successful candidate will provide technical leadership in the design, development, integration, and implementation of data analytics, visualization, and dashboard solutions across the customer's complex data landscape.

This role will work across multiple customer organizations and mission areas, partnering with government stakeholders, mission owners, data engineers, developers, and other technical teams to transform disparate data into actionable insights. The Data Analytics Specialist will leverage analytics tools, frameworks, and toolkits to improve data interoperability, standardization, discoverability, accessibility, and shareability across the customer’s environment and with its IC partners.

The ideal candidate combines strong hands-on analytics and visualization expertise with the ability to operate effectively in a highly collaborative, mission-focused, and classified environment.

• Serve as a Data Analytics SME supporting the design, development, deployment, and sustainment of enterprise analytics capabilities across the customer's data landscape.
• Analyze complex, heterogeneous datasets to identify trends, relationships, anomalies, and mission-relevant insights.
• Design and develop intuitive, scalable dashboards, visualizations, analytic products, and decision-support tools tailored to diverse mission and leadership requirements.
• Translate complex business and mission requirements into technical analytics solutions, data products, visualization strategies, and measurable outcomes.
• Collaborate with multiple customer organizations and mission stakeholders to identify opportunities to integrate and standardize analytics capabilities across organizational boundaries.
• Coordinate with other government and contractor offices to promote adoption and integration of common analytics tools, data standards, frameworks, and IC Data Ecosystem toolkits.
• Support efforts to improve data interoperability and shareability across the customer and its IC partners.
• Develop and implement repeatable approaches for integrating data from disparate systems, repositories, platforms, and organizational domains.
• Identify data quality, governance, metadata, accessibility, and interoperability challenges and recommend…