Accelint Logo

Accelint

Lead Data Analyst (SIE)

Posted One Month Ago
Remote
Hiring Remotely in United States
111K-144K Annually
Expert/Leader
Remote
Hiring Remotely in United States
111K-144K Annually
Expert/Leader
The Lead Data Analyst leads complex data analytics and statistical modeling efforts, translating business challenges into analytical frameworks to support strategic decision-making. Responsibilities include developing predictive models, maintaining data quality standards, providing mentorship, and collaborating with cross-functional teams.
The summary above was generated by AI

This position requires an active U.S. national security clearance and the ability to obtain one. To learn more about the security clearance process please access this link. Additionally, travel may be required to customer and subcontractor sites as well as other office locations.


Accelint is a mission-driven technology company focused on strengthening national security and supporting critical industries. We build the technologies that help operators and organizations see what’s happening, make faster and better decisions, take action with confidence, and stay ready for what comes next. Our work includes advanced sensors, autonomous systems, mission command and control software, AI-enabled training and simulation, and tools that improve logistics, maintenance, and overall readiness.  

For nearly 30 years we have supported military and civilian agencies across the Department of Defense, U.S. allies and partners, and essential industries. When you join Accelint, your work directly contributes to protecting national security and strengthening the systems our society depends on.  


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 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 10+ years of experience assessing data and Opus Suite.


Duties and 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


Required Qualifications

  • Bachelor’s or Master’s degree in Engineering, Computer Science, Data Analytics, or a related technical field.
  • Minimum of 10+ 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.
  • Expert with Opus Suite (OPUS10, SIMLOX, CONNECT) or equivalent readiness-based sparing platforms.
  • Strong communication, leadership, and analytical problem-solving skills.


Desired Qualifications

  • 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. To learn more about the security clearance process please access this link 


EEOC & Know Your Rights 

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. For more information about your rights, please review the "Know Your Rights" poster from the Equal Employment Opportunity Commission (EEOC). Know your Rights: English Spanish 


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 

Similar Jobs

An Hour Ago
In-Office or Remote
120K-160K Annually
Mid level
120K-160K Annually
Mid level
Greentech • Hardware • Internet of Things • Machine Learning • Software • Business Intelligence • Agriculture
Drive new business and ensure customer success across Nebraska's Sandhills. Perform in-field sales, prospecting, onboarding, territory ownership, and cross-functional feedback while frequently traveling to ranches and industry events.
Top Skills: Precision AgricultureSaaSVirtual Fencing
An Hour Ago
Remote or Hybrid
United States
100K-160K Annually
Mid level
100K-160K Annually
Mid level
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Lead and grow an Infrastructure Security team securing cloud infrastructure, edge networks, and application delivery. Drive cloud security architecture, WAF/SASE/zero-trust implementations, PAM and secrets management, incident management and on-call response, KPIs/OKRs, cross-team partnerships, and continuous security process and tooling improvements.
Top Skills: AnsibleAWSAws Wafv2AzureAzure WafBeyondtrustCloudflareCyberarkDdosGCPGcp Cloud ArmorHashicorp VaultKeeperSaseTerraformZero-Trust
An Hour Ago
Remote or Hybrid
United States
110K-140K Annually
Expert/Leader
110K-140K Annually
Expert/Leader
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Lead product analytics for a B2B SaaS product: define metrics and measurement frameworks, analyze user behavior and product performance, build self-service dashboards, partner cross-functionally to link usage to business outcomes, and translate data into strategic recommendations for product roadmap and GTM decisions.
Top Skills: Ai ToolsBigQueryExcelGCPPendoSnowflakeSQLTableau

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account