Experienced or Senior Data Analyst in Business Development

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

is offering an exciting opportunity for an Experienced or Senior Data Analyst in Business Development (Level 4 / Level
5) to become a part of our Parts and Distribution Services Strategy and Business Development team located in Dallas, TX
.

We are seeking a data-driven analyst to join our Business Development team supporting aerospace parts and distribution. In this role you will bridge distribution operations and strategic growth initiatives for aftermarket parts, spares, repairs, and supply‑chain channels. You will build and maintain financial models to evaluate new market entries, partnership opportunities, warehouse and network optimizations, and contract economics for parts and distribution partners.

• Data Interpretation:
  Ingest, normalize, and interpret partner datasets that vary in structure and quality. Identify inconsistencies, implicit assumptions, and gaps between supplied data and operational reality; surface risks and adjustments needed for models and negotiations.

• Data Analysis:
  Extract, manipulate, and analyze transactional and inventory data to support models and dashboards. Write SQL queries to pull datasets from relational databases and validate results.

• Market Intelligence:
  Conduct competitor analysis and market research on aerospace parts markets, MRO suppliers, OEMs, and distributor networks to uncover business opportunities and guide pricing strategies.

• Strategic Opportunity Analysis:
  Perform in-depth financial feasibility studies and ROI analysis for new business initiatives, warehouse integrations, territory expansions, and distributor partnerships in the aerospace parts market.

• Contract Support:
  Assist in economic modeling and financial due diligence during negotiations with vendors, third‑party distributors, or potential acquisition targets.

• Financial Modeling & Forecasting:
  Develop and maintain sophisticated models (NPV, IRR, scenario analysis) to project the financial impact of business development strategies.

• Stakeholder Liaison:
  Partner with internal and external stakeholders to align on planning assumptions. Present financial insights to senior leadership.

• Growth Performance Tracking:
  Design and monitor KPIs related to sales trends, channel performance, part lifecycle economics, inventory turns, obsolescence, and new business wins.

• Education: Bachelor’s degree in business, supply chain management, data science, or related field

• 5+ years of experience in corporate finance, FP&A, or business development; experience in distribution/wholesale or aerospace/aviation parts highly desirable.

• 5+ years of experience in Advanced Excel (complex formulas, pivot tables), experience with data visualization tools such as Power BI, Tableau, or Spotfire.

• Intermediate to advanced SQL and data validation proficiency — able to write complex SELECT queries using CTEs and window functions, design efficient multi‑table joins and set operations, build and optimize aggregations, perform large‑scale data quality checks and reconciliation, interpret execution plans.

• Vendor Data Literacy:
  Demonstrated ability to work with heterogeneous data sources to assess data quality and provenance, and make reasoned judgments where data is incomplete or has low fidelity.

• Soft Skills:
  
  Strong analytical rigor, commercial acumen, and the ability to communicate complex financial concepts to non‑financial audiences.

• Education: Master of Business Administration

• 10+ years of related experience

• Familiarity with aerospace supply‑chain terminology (MRO, OEM, exchange pools, TSN/CSN, parts classifications).

• Experience with parts pricing, obsolescence modeling, repairable vs. consumable parts economics.

• Experience using Python/R for data manipulation.

• Experience developing simple…