Standard Job Description

As a member of the New Business Estimating – Data Analytics team, you will use the data‑science hierarchy of needs to strengthen cost‑estimating models and their underlying mathematical relationships, applying advanced statistical and machine‑learning techniques to produce reliable parametric cost analyses. Collaborating across functions, you’ll ensure that models accurately reflect both internal and external customer requirements as well as current market realities, and you will convert those results into clear visualizations, concise reports, and actionable recommendations for leadership and customers. Additional duties include supporting conceptual‑design cost studies (DTC, CAIV, LCC assessments, etc.), maintaining and qualifying cost databases, and mentoring junior colleagues in data analytics and parametric modeling.

Responsible for collecting, processing, and analyzing data to develop immersive stories that answer business questions. Using proven and sound statistical methods, the analyst draws insights from data, and translates those insights into action that drive business results. Data Analysts are extremely resourceful and able to find novel new data sources to enrich their analysis. They apply mathematical and statistical methods to business and risk management problems.Mine, process, and summarize data; Manage the quality assurance of data scraping, query databases for stakeholder requests, and triage data issues for timely resolutions; Analyze large datasets, draw valid inferences and prepare insights in narrative or visual forms, including dashboards; Set up and maintain data processes and new analytics capabilities; Produce and track key performance indicators; Ability to formulate functional and technical requirements from business problems; Program management of key tasks and resources to achieve cost and schedule

Basic Qualifications

- Bachelor's degree from an accredited institution
- Experience in Microsoft Excel and PowerPoint at an advanced level
- Experience using robust mathematical foundation complemented by solid understanding of probability theory, regression modeling, statistical inference and machine learning algorithms
- Strong problem-solving, analytical and communication experience
- Experience using strong data literacy, interpreting, questioning, and clearly conveying findings to a variety of audiences

Desired Skills

- Experience supporting proposal development, driving new‑business capture initiatives, and conducting business‑case analyses
- Experience designing and deploying custom data models and algorithms on datasets to build predictive models
- Working knowledge of aircraft life‑cycle with hands‑on experience in parametric estimating—including development of cost‑estimating relationships, and conducting uncertainty and sensitivity analyses
- Excellent communication abilities to clearly convey analytical and technical insights and solutions to both technical and non‑technical audiences
- Working knowledge/hands on experience with Python, R, or comparable programming languages for data manipulation and analysis
- Experience with business intelligence and data analytics tools/platforms (Tableau or comparable tools)
- Commitment to continuous learning and staying current with emerging data‑science methods, industry‑standard estimating practices, and evolving cost‑modeling techniques
- The ability to obtain and maintain any required security clearance