Lead Data Analyst (SIE)

This position requires an active U.S. national security clearance and the ability to obtain one. To learn more about the security clearance process please access this link. Additionally, travel may be required to customer and subcontractor sites as well as other office locations.

Accelint is a mission-driven technology company focused on strengthening national security and supporting critical industries. We build the technologies that help operators and organizations see what’s happening, make faster and better decisions, take action with confidence, and stay ready for what comes next. Our work includes advanced sensors, autonomous systems, mission command and control software, AI-enabled training and simulation, and tools that improve logistics, maintenance, and overall readiness.  

For nearly 30 years we have supported military and civilian agencies across the Department of Defense, U.S. allies and partners, and essential industries. When you join Accelint, your work directly contributes to protecting national security and strengthening the systems our society depends on.  

The Lead Data Analyst serves as a recognized subject matter expert and advanced individual contributor, leading complex data analytics and statistical modeling efforts to develop readiness based spares to drive strategic and operational decision-making across the organization. This role translates high-level business challenges into advanced analytical frameworks, develops predictive and diagnostic models, and delivers compelling data narratives to executive stakeholders. The position requires a highly specialized skill set, extensive experience, and full autonomy in executing highly complex assignments, with significant latitude for independent judgment.

This role works closely with subject matter experts in data engineering, system engineering, technical leadership and analytical expertise. This position is responsible for developing and executing complex readiness, sustainment, and logistics modeling efforts in direct support of Navy and Department of War (DoW) programs. Integrates multidisciplinary engineering methodologies to ensure that model development, data management, and analytical outputs align with program objectives, technical standards, and customer requirements. The ideal candidate has 10+ years of experience assessing data and Opus Suite.

Duties and Responsibilities

• Lead advanced data analytics, statistical modeling, and predictive analysis initiatives to support readiness based sparing models to support decision-making and strategic planning.
• Partner with senior stakeholders to define analytical objectives, shape problem statements, and translate business challenges into actionable, data-driven strategies.
• Enforce, maintain and contribute process improvements to documented enterprise data definitions, business rules, governance frameworks, and data quality standards.
• Provide technical leadership and mentorship to junior analysts, supporting skill development and analytical best practices.
• Serve as a trusted advisor and subject matter expert on data analytics methodologies, tools, and advanced analytical techniques.
• Contribute technical expertise in data needed and structure to develop and model the simulation to identify the most effective option on the readiness cost curve.
• Participate in planning sessions to acquire detailed information develop data pipeline architecture that align with project requirements.
• Extract supporting data from identified tools, review available supportability reports and engineering details to assess quality of data prior to developing a readiness at cost model.
• Document data gathering processes, pipeline configurations, and data flows to ensure consistency and future support.
• Identify, define, and lead continuous improvement initiatives for analytics processes, data workflows, and system performance.
• Ensure accuracy and completeness of all documentation.
• Foster effective collaboration with cross-functional teams to achieve project objectives.
• Communicate complex technical information clearly and effectively.
• Utilize identified software and follow business rules and processes.
• Identify areas to improve