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# Lead Data Analyst (Safety & Security) - 90301903 - DC/Wilmington/Philadelphia/Chicago

- **Company:** Amtrak
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Salary:** $94,300 - $122,256
- **Contract:** Contract
- **Skills:** Microsoft Excel, Artificial Intelligence, Cloud Computing, Computer Programming, Data Integrity, Data Transformation, Excel Formulas, Python (Programming Language), Machine Learning, Operational Data Store, Pivot Tables, Power BI, Microsoft Copilot, Standard Sql, SQL Databases, SQL Server Reporting Services, Tableau (Software), Generative AI, Sap Business Objects, Information Technology, Data Analytics, Data Pipelines, Databricks
- **Published:** November 13, 2026
- **Apply:** https://careers.amtrak.com/talentcommunity/apply/1450195100/?locale=en_US

## About the Role

* Bachelor's Degree or equivalent combination of education, training and/or relevant experience.
 * Plus 6 years of relevant work experience.
 * Successful completion of a personal police background investigation., * 8 plus years of relevant experience in data analytics, preferably within safety, law enforcement, or transportation sectors
 * Master's degree in statistics, computer science, data science, or other quantitative field.
 * Experience applying statistical forecasting or predictive modeling techniques to safety, security, or operational data.

Knowledge, Skills, and Abilities

 * Strong quantitative and analytical skills, with demonstrated expertise in data sourcing, cleaning, wrangling, analysis, and visualization to solve problems efficiently
 * Proficiency in BI tools such as PowerBI, SAP Business Objects, SSRS, Tableau, or equivalent
 * Advanced skills in Microsoft Excel, including pivot tables and complex formulas
 * Experience with Python and SQL, or other relevant programming and querying languages.
 * Hands-on experience with Databricks, including building and managing notebooks, data pipelines, and queries in a cloud-based analytics environment
 * Experience using AI tools (e.g., Microsoft Copilot, generative AI, or machine learning capabilities) in analytical work, with sound judgment on the responsible use of sensitive data
 * Excellent verbal and written communication and comprehension skills, including expert capability to explain analytical findings in clear terms to non-technical audiences and to interact effectively with employees at all levels of the organization
 * Critical thinker with excellent decision-making, planning, and prioritization skills who can contribute to challenging assignments and maintain calmness under pressure in a fast-paced environment

## Description

At Amtrak, safety is more than a priority; it's a commitment. As Lead Data Analyst for Safety & Security, you will transform complex data into strategic insights that directly shape decisions impacting millions of passengers and employees. By partnering across safety, security, and operational teams, you'll lead advanced analytics that drive risk mitigation, optimize resource deployment, and enhance safety outcomes nationwide. Your work will empower leadership with clear, data-driven narratives and foster a culture of analytical excellence throughout the organization., * Lead advanced analysis of historical and real-time data to identify safety and security trends, forecast emerging risks, and inform strategic decision-making, long-term planning, and proactive risk mitigation

 * Develop and maintain scalable dashboards and models using tools like PowerBI, Databricks, Python, and SQL
 * Leverage AI tools and continuously enhance data processes and methodologies to automate workflows, accelerate safety and security analysis, and improve operational efficiency and the quality of insights delivered to stakeholders
 * Ensure data integrity, compliance, and ethical use of sensitive safety and security information
 * Collaborate with and build trusted relationships across cross-functional teams, including, but not limited to, law enforcement, safety, operations, legal, and executive leadership, as well as external partners, to align analytics with organizational goals and support data-driven initiatives
 * Translate complex technical findings into clear, actionable insights for non-technical stakeholders
 * Provide technical guidance and mentorship to analysts, promoting consistent analytical standards across the team