Cost Engineer/Data Analyst (TS clearance required)
Lockheed Martin Corporation
Cost Engineer/Data Analyst (TS clearance required) | Lockheed Martin
The Predictive Analytics and Cost Engineering (PACE) team is a data science team that combines technical engineering attributes and financial information to create data-driven cost estimates for program capture and support. The PACE team collects, normalizes and maps data to a standard work breakdown structure (WBS) to perform data analytics for internal and external customer support and deliverables. As part of the Finance and Business Operations (F&BO) organization, this team also works closely with Engineering and Technology (E&T), Strategy and Business Development (S&BD), Program/Proposal Management and Leads, Executive leadership and external customers. In particular, this position would be in support of significant programs/capture efforts across the lines of business (LOB). This may also involve proposal and/or data analytics and cost estimating tool development or enhancements. This role will include technical data collection, running cost models for captures across Space, dashboard building/automation, and communicating results to stakeholders. Additionally, the role may include developing affordability business cases, cost target allocation, and CI/PTW & ICE collaboration. The candidate selected will be asked to ingest data into a variety of models, interpret those results, perform decision analysis, and communicate findings with technical/programmatic colleagues and decision makers. In this position, you will:
- Understand and implement proven cost models on relevant captures.
- Perform cross-checks for program estimates.
- Develop and deploy dashboards leveraged by the team.
- Develop and present results to colleagues, senior staff and executives.
- Coordinate with Engineering, Business Development, Program Finance, Estimating, Proposal Management, and ICE around model results.
- Become knowledgeable and available to answer questions around cost estimates and cost drivers.
- Work shoulder to shoulder with data science analysts building and enhancing tools/capabilities for efficiency and effectiveness.
- Have opportunities to grow/upskill in data science disciplines and technical abilities.
Desired skills:
- Master's degree in Math, Operations Research, Engineering, Finance, or related field or equivalent years of experience
- Experience with Python, Visual Basic for Applications (VBA), MS SQL, and/or Tableau
- Experience working with cost models, predictive analytics, or decision analysis
- Knowledge of financial systems, analysis, statistics, etc.
- Experience working within the space systems industry
- Technical and business acumen – able to interpret cost and technical data, recognize their interdependencies, and apply them in forecasting models.
- Ability to communicate technically oriented material to broader team
- Familiarity with proposal development and/or the government acquisition process
- Strong team collaboration and leadership skills
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