Lead Data Analyst (OPUS)
Not Disclosed•Full-TimeOn-site
location_onOn-site
About the Role
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. This role drives strategic and operational decision-making across the organization by translating high-level business challenges into advanced analytical frameworks. You will develop predictive and diagnostic models and deliver compelling data narratives to executive stakeholders.
This position requires full autonomy in executing highly complex assignments with significant latitude for independent judgment. You will work closely with subject matter experts in data engineering, system engineering, and technical leadership to develop and execute complex readiness, sustainment, and logistics modeling efforts in direct support of Navy and Department of War (DoW) programs. The role integrates multidisciplinary engineering methodologies to ensure that model development, data management, and analytical outputs align with program objectives, technical standards, and customer requirements.
Hiring Process
Candidates must be U.S. Citizens and either currently possess a National Security eligibility or be able to complete the investigation application process with a favorable determination. Positions requiring access to U.S. National Security information will require the maintenance of a U.S. government personnel security clearance (PCL) throughout employment. For more details on the security clearance process, please refer to the official link provided in the application portal.
Equal Opportunity
Accelint companies are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran, or any other status protected by applicable federal, state, and local law. We ensure that all employment decisions, including hiring, promotion, compensation, and other terms and conditions of employment, are based on merit, qualifications, and business needs.
Work location
Work model: On-site
On-site
Key Responsibilities
- check_circleLead advanced data analytics and statistical modeling to develop readiness-based sparing models
- check_circlePartner with senior stakeholders to translate business challenges into data-driven strategies
- check_circleEnforce data governance frameworks and maintain enterprise data quality standards
- check_circleProvide technical leadership and mentorship to junior analysts on best practices
- check_circleExtract and assess data quality from supportability reports and engineering details
- check_circleDocument data gathering processes, pipeline configurations, and data flows for consistency
- check_circleLead continuous improvement initiatives for analytics processes and system performance
- check_circleCommunicate complex technical information clearly to executive stakeholders
- check_circleDevelop simulation models to identify effective options on the readiness cost curve
- check_circleCollaborate with cross-functional teams to achieve integrated project objectives
- check_circleParticipate in planning sessions to design data pipeline architecture aligned with project needs
Requirements
- verifiedBachelor's or Master's degree in Engineering, Computer Science, Data Analytics, or related field
- verified10+ years experience in systems engineering, logistics analysis, or modeling and simulation
- verifiedAdvanced experience in data engineering and readiness modeling within DoD or equivalent environment
- verifiedExpert in reliability, maintainability, and availability (RMA) principles and lifecycle sustainment analysis
- verifiedExpert with Opus Suite (OPUS10, SIMLOX, CONNECT) or equivalent readiness-based sparing platforms
- verifiedUS Citizen with ability to obtain/maintain US government personnel security clearance (PCL)
Nice to Have
Experience exporting and analyzing data from Navy authoritative systems. Familiarity with the development of supportability analysis. Familiarity with developing a readiness based spares package. Understanding of the aerospace and defense industry. Knowledge of DoW policies and requirements.
Benefits & Perks
check_circlePaid Time Offcheck_circlePaid Company Holidayscheck_circleMedical, Dental & Vision Insurancecheck_circleOptional HSA and FSAcheck_circleBase and Voluntary Life Insurancecheck_circleShort Term & Long-Term Disability Insurancecheck_circle401k Matchingcheck_circleEmployee Assistance Program
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Skills, education and keywords
Skills: Data Analytics, Statistical Modeling, Predictive Analysis, Readiness Modeling, Data Engineering, Reliability, Maintainability, Availability, Lifecycle Sustainment Analysis, Opus Suite.
Education: Bachelor's degree in Engineering, Computer Science, Data Analytics, or related technical field required; Master's degree in Engineering, Computer Science, Data Analytics, or related technical field required.
Frequently asked questions about Lead Data Analyst (OPUS) at Accelint
What does a Lead Data Analyst (OPUS) at Accelint do?expand_more
A Lead Data Analyst (OPUS) at Accelint is responsible for the following: Lead advanced data analytics and statistical modeling to develop readiness-based sparing models; Partner with senior stakeholders to translate business challenges into data-driven strategies; Enforce data governance frameworks and maintain enterprise data quality standards; and Provide technical leadership and mentorship to junior analysts on best practices.
What are the requirements for this Lead Data Analyst (OPUS) role?expand_more
To qualify for the Lead Data Analyst (OPUS) at Accelint position, applicants should have: Bachelor's or Master's degree in Engineering, Computer Science, Data Analytics, or related field; 10+ years experience in systems engineering, logistics analysis, or modeling and simulation; Advanced experience in data engineering and readiness modeling within DoD or equivalent environment; Expert in reliability, maintainability, and availability (RMA) principles and lifecycle sustainment analysis; Expert with Opus Suite (OPUS10, SIMLOX, CONNECT) or equivalent readiness-based sparing platforms; and US Citizen with ability to obtain/maintain US government personnel security clearance (PCL).
Where is the Lead Data Analyst (OPUS) role at Accelint located?expand_more
Lead Data Analyst (OPUS) at Accelint is based in On-site. This is a on-site role.
Is this Lead Data Analyst (OPUS) job remote, hybrid, or on-site?expand_more
Accelint has listed this Lead Data Analyst (OPUS) role as on-site.
How much experience is required for this Lead Data Analyst (OPUS) role?expand_more
Lead Data Analyst (OPUS) at Accelint typically requires 10+ years of relevant experience at the lead level.
What skills do you need for the Lead Data Analyst (OPUS) role at Accelint?expand_more
Key skills for Lead Data Analyst (OPUS) at Accelint include Data Analytics; Statistical Modeling; Predictive Analysis; Readiness Modeling; Data Engineering; Reliability; Maintainability; and Availability.
What education is required for Lead Data Analyst (OPUS) at Accelint?expand_more
Educational requirements for this role: Bachelor's degree in Engineering, Computer Science, Data Analytics, or related technical field required; and Master's degree in Engineering, Computer Science, Data Analytics, or related technical field required.
What category does the Lead Data Analyst (OPUS) role belong to?expand_more
Lead Data Analyst (OPUS) at Accelint is part of the engineering job category on Recrutus.
About Accelint
Accelint operates within the defense and space manufacturing sector, delivering artificial intelligence, autonomy solutions, and mission systems designed to secure mission readiness and tactical advantage. The company focuses on rapid fielding and engineering systems specifically built for operators in the field. For more than 25 years, the Department of Defense and allied nations have relied on Accelint to address their most complex operational challenges. Contact info@accelint.com for further details.
Browse more roles: All Accelint jobs, engineering jobs on Recrutus.