Analyst, Program & Risk

Standard Aero•San Antonio, TX

17h•Onsite

About The Position

As a Program & Risk Analyst, you will develop dashboards, reports, and data-driven insights to support aerospace engine program performance and SIOP planning. You will translate operational data into actionable insights that improve visibility into cost, delivery, inventory, and customer commitments.

Requirements

3+ years of experience in business intelligence, data analytics, or program analytics in aerospace, aviation, manufacturing, supply chain, healthcare, banking, consulting, or other complex operational environments
Hands-on experience building dashboards and reports using Power BI or Tableau
Strong proficiency in Microsoft Excel, including data analysis and statistical functions
Experience analyzing data and translating findings into business insights and operational recommendations
Ability to work with cross-functional teams and gather reporting requirements from business stakeholders
Bachelor’s degree in Industrial Engineering, Economics, Business Analytics, Data Science, Business, or related field (or equivalent experience)

Nice To Haves

Experience with SQL, Python, DAX, or VBA
Experience supporting SIOP, supply chain, manufacturing, or operations analytics functions
Strong understanding of data validation, reporting governance, and data quality principles
Familiarity with Lean, Six Sigma, or continuous improvement methodologies
Ability to present data insights clearly to both technical and non-technical audiences
Experience working in fast-paced, evolving operational environments

Responsibilities

Develop and maintain dashboards and reporting tools using Power BI, Tableau, or similar platforms to support program visibility, performance tracking, and decision-making
Analyze operational, supply chain, and commercial data to support SIOP planning, forecasting, and execution
Build and enhance reporting tools and data models that improve visibility into cost, delivery, inventory, and customer commitments
Collect, validate, and reconcile data from multiple systems and cross-functional stakeholders
Translate complex data sets into clear insights, summaries, and presentations for operational teams and leadership
Identify trends, gaps, and program execution risks and communicate findings to business partners
Support forecasting, scenario analysis, and reporting to improve planning accuracy and operational decision-making
Partner with IT and business stakeholders to improve data quality, reporting structure, and analytics capabilities
Document assumptions, methodologies, and data definitions to ensure consistency and reporting integrity
Collaborate with subject matter experts to resolve data issues and improve long-term data quality across systems