Senior Data Analyst

accelintjobboardtest

Bloomington (IN)

Hybrid

USD 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Paid Time Off

Paid Company Holidays

Medical, Dental & Vision Insurance

401k Matching

Employee Assistance Program

Job summary

Lyntris is a defense technology company delivering sensing-to-action capabilities for the connected battlespace. The Senior Data Analyst will lead complex analytics and modeling efforts to drive readiness-based spares and strategic decisions across Navy and DoW programs.

This full-time, hybrid position requires 5+ years in data analytics, modeling, or systems engineering within a defense environment. Expect collaboration with engineering and technical leadership to deliver robust data models and

Qualifications

5+ years of experience in systems engineering, logistics analysis, or modeling and simulation.
Experience with data engineering practices for readiness modeling in a DoD or equivalent environment.
Expert in reliability, maintainability, and availability (RMA) principles and lifecycle sustainment analysis.

Responsibilities

Lead advanced data analytics and predictive modeling to support readiness sparing decisions.
Define analytical objectives with stakeholders and translate challenges into data-driven strategies.
Document data gathering processes, pipelines, and data flows for long-term support.
Collaborate across cross‑functional teams to achieve project objectives and communicate complex results clearly.
Apply Opus Suite and other tools to develop and validate models and simulations.

Skills

Data analytics

Statistical modeling

Data pipelines

Leadership

Education

Bachelor’s or Master’s degree in Engineering, Computer Science, Data Analytics, or related technical field

Tools

Opus Suite

Job description

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.

Lyntris supports U.S. and allied defense organizations across every branch — including Navy, Army, Air Force, Space Force and allied partners — spanning strategic, operational and tactical missions and every domain: Space, Air, Land, Sea and Cyber. With more than 200 active defense programs, Lyntris works at every level of the mission, from national command authority to the tactical edge.

Solutions are designed by operators who understand the mission, engineered for the conditions that degrade or defeat standard systems, and built on an open, modular architecture that integrates into existing programs without requiring them to start over. Lyntris moves faster than the traditional defense cycle — with integrated design, build and test capabilities in-house — and delivers systems that sustain and endure long after initial fielding.

Job Description

Senior Data Analyst

Full Time

Hybrid

The Sr. 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 5+ years of experience assessing data and Opus Suite.

Duties & Responsibilities

Model development

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.

Technical Documentation

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.

Collaboration and Communication

Foster effective collaboration with cross-functional teams to achieve project objectives.
Communicate complex technical information clearly and effectively.

Tool and Methodology Application

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 toqualify 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…