Cost Engineer & Data Analyst

Lockheed Martin•Sunnyvale, CA

1d•Onsite

About The Position

Space is a critical domain, connecting our technologies, our security and our humanity. While others view space as a destination, we see it as a realm of possibilities, where we can do more— we can innovate, invest, inspire and integrate our capabilities to transform the future. At Lockheed Martin Space, we aim to harness the full potential of space to cultivate innovation, reduce costs, and push the boundaries of what technology can achieve. We’re creating future-ready solutions, focusing on resiliency and urgency through our 21st Century Security® vision. We’re erasing boundaries and forming partnerships across industries and around the world. We’re advancing spacecraft and the workforce to fuel the next generation. And we’re reimagining how space can connect us, ensuring security and prosperity. Join us in shaping a new era in space and find a career that's built for you. The Predictive Analytics and Cost Engineering (PACE) team is a data science and analytics 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. 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.

Requirements

Ability to obtain TS or TS/SCI security clearance
Bachelor's or Master's degree in Engineering, Finance, Math, Operations Research, or any other related field or equivalent years of experience in lieu of degree
Strong communication and interpersonal skills
Highly detail-oriented with ability to balance multiple tasks at once
High degree of accountability and responsibility with the ability to be a self-starter
Experience with Microsoft Office applications especially Excel or PowerPoint
Experience with and understanding of one or more of the following: cost models, data collection, data analytics, systems engineering and/or finance or anything else related

Nice To Haves

Active TS or TS/SCI security clearance desired
Experience with Data Visualization tools such as Tableau, PowerBI, or Alteryx
Experience with Visual Basic for Applications (VBA)
Technical degree with business acumen – able to interpret cost and technical data, recognize their interdependencies, and apply them in forecasting models.
Knowledge of financial systems, analysis, statistics, etc.
Experience working within the space systems industry
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
2+ years of relevant experience

Responsibilities

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 and senior staff.
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.