Note: The job is a remote job and is open to candidates in USA. Accelint is a defense technology company that connects sensing to action across the connected battlespace. They are seeking a Senior Data Analyst to lead complex data analytics and statistical modeling efforts to support strategic and operational decision-making across the organization.
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 efficiency and accuracy and integrate those into modeling best practices
Skills
- Bachelor's or Master's degree in Engineering, Computer Science, Data Analytics, or a related technical field
- Minimum of 5+ years of experience in systems engineering, logistics analysis, or modeling and simulation
- Advanced experience in data engineering practices and readiness modeling methodologies within the DoD or equivalent complex enterprise environment
- Expert in the application of reliability, maintainability, and availability (RMA) principles and lifecycle sustainment analysis
- Lead multidisciplinary teams and coordinating across multiple stakeholders to deliver integrated technical solutions
- Strong communication, leadership, and analytical problem-solving skills
- Expert with Opus Suite (OPUS10, SIMLOX, CONNECT) or equivalent readiness-based sparing platforms
- Experience exporting and analyzing data from Navy authoritative systems
- Familiar with development of supportability analysis
- Familiar with a developing a readiness based spares package
- Understanding of the aerospace and defense industry
- Knowledge of DoW policies and requirements
Benefits
- Paid Time Off
- Paid Company Holidays
- Medical, Dental & Vision Insurance
- Optional HSA and FSA
- Base and Voluntary Life Insurance
- Short Term & Long-Term Disability Insurance
- 401k Matching
- Employee Assistance Program
Company Overview