About The Position

The Lead Data Analyst for Safety & Security transforms complex data into strategic insights to inform decisions affecting passengers, employees, and railroad operations. The position partners with safety, security, operations, and other teams to lead advanced analytics that support risk mitigation, resource deployment, and improved safety outcomes nationwide. It develops data-driven narratives for leadership and fosters analytical excellence across the organization. The role leads analysis of historical and real-time data, develops and maintains dashboards and models, uses AI tools to improve analytical workflows, and ensures the integrity, compliance, and ethical handling of sensitive safety and security information. It also translates technical findings for non-technical audiences and provides technical guidance and mentorship to analysts. The position may be based in Washington, DC; Wilmington, Delaware; Philadelphia, Pennsylvania; or Chicago, Illinois. The work arrangement is onsite four to five days per week, with travel requirements up to 25%. Relocation is not offered.

Requirements

  • Bachelor’s degree or an equivalent combination of education, training, and relevant experience.
  • At least 6 years of relevant work experience.
  • Successful completion of a personal police background investigation.
  • Strong quantitative and analytical skills, including data sourcing, cleaning, wrangling, analysis, and visualization.
  • Proficiency with business intelligence tools such as Power BI, SAP BusinessObjects, SSRS, Tableau, or equivalent.
  • Advanced Microsoft Excel skills, 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 in analytical work and sound judgment about responsible use of sensitive data.
  • Excellent verbal and written communication and comprehension skills, including the ability to explain analytical findings clearly to non-technical audiences and interact effectively with employees at all organizational levels.
  • Critical thinking, decision-making, planning, and prioritization skills, including the ability to contribute to challenging assignments and remain calm under pressure in a fast-paced environment.

Nice To Haves

  • At least 8 years of relevant experience in data analytics, preferably in safety, law enforcement, or transportation.
  • Master’s degree in statistics, computer science, data science, or another quantitative field.
  • Experience applying statistical forecasting or predictive modeling techniques to safety, security, or operational data.

Responsibilities

  • Analyze 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 such as Power BI, Databricks, Python, and SQL.
  • Use AI tools and improve data processes and methodologies to automate workflows, accelerate safety and security analysis, and improve operational efficiency and insight quality.
  • Ensure data integrity, compliance, and ethical use of sensitive safety and security information.
  • Build relationships and collaborate with cross-functional teams, including law enforcement, safety, operations, legal, executive leadership, and 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 and promote consistent analytical standards across the team.

Benefits

  • Health, dental, and vision insurance
  • 401(k) with employer match
  • Generous paid time off
  • Wellness programs
  • Railroad retirement benefits
  • Paid caregiving days and backup care
  • Health savings account
  • Public Service Student Loan Forgiveness
  • Fertility and family building benefits
  • No-cost personal health advocate
  • Student loan assistance
  • Adoption and surrogacy assistance
  • Medical plan opt-out credit
  • Tuition and education reimbursement
  • Paid family leave
  • Life insurance
  • Rail pass privileges
  • Short- and long-term disability insurance
  • Employee assistance program
  • No-cost financial advisor sessions
  • Commuter and flexible spending accounts
  • Potential short-term incentive bonus based on factors including individual and company performance
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