Senior Data Analyst

Lyntris is a defense technology company that connects sensing to action across the connected battlespace. Lyntris brings together the talents of Accelint and Vitesse teams under one mission, with each contributing deep expertise within their domain. Combining differentiated hardware, software and mission expertise, Lyntris helps customers sense threats, make sense of complex conditions and act with greater speed, precision and confidence in contested environments.

• →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

Required Qualifications 

• 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.

Preferred Qualifications (Not Required) 

• 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

Clearance Requirements 

Some positions will require access to U.S. National Security information. Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL). In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment. 

Pay Scales & Benefits 

The listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors. 

Benefits include… 

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