Senior Data Analyst

Lyntris; BLOOMINGTON (MN); Hybrid; USD 110,000 - 150,000; Full time

Job summary

Lyntris is seeking a Senior Data Analyst to serve as a subject matter expert and lead advanced analytics and modeling efforts supporting readiness based sparing for Navy and DoW programs. You will translate complex business challenges into analytical frameworks and deliver data-driven insights to executive stakeholders.

The role requires extensive experience, autonomy, and collaboration with data engineering, system engineering, and technical leadership teams.

Qualifications

• Bachelor’s or Master’s degree in Engineering, Computer Science, Data Analytics, or 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 st

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.

Skills

Data analytics

Statistical modeling

Predictive analytics

Data governance

Data quality

Leadership

Cross-functional collaboration

Education

Bachelor’s or Master’s degree in Engineering/CS/Data Analytics

Job description

Job Description

Senior Data Analyst

• Full Time
• Hybrid / Remote

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 st