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. Basic Qualifications (Required Skills/ Experience):Education: Bachelor’s degree in business, supply chain management, data science, or related field 4 years of experience in corporate finance, FP&A, or business development; experience in distribution/wholesale or aerospace/aviation parts highly desirable 4 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. Preferred Qualifications (Desired Skills/ Experience):Education: Master of Business Administration 5 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 data ingestion/validation routines or macros to reconcile and standardize supplier data feeds and flag anomalies. Systems Knowledge: Experience with ERP systems (e.g., SAP, Microsoft Dynamics) and CRM systems (e.g., Salesforce); familiarity with inventory and parts-master data concepts. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.