Data Analyst IV
Capgemini Engineering
full-time
Posted on:
Location Type: Remote
Location: United States
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Salary
💰 $107,000 - $140,000 per year
About the role
- 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.
Requirements
- 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.
- Strong communication, leadership, and analytical problem-solving skills.
Benefits
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analyticsstatistical modelingpredictive analysisdata engineeringreadiness modelingreliability principlesmaintainability principlesavailability principleslifecycle sustainment analysisdata pipeline architecture
Soft Skills
leadershipmentorshipcommunicationanalytical problem-solvingcollaborationprocess improvementtechnical expertisestakeholder engagementdocumentationefficiency improvement
Certifications
Bachelor’s degreeMaster’s degree