Analyst - Predictive Safety Analytics

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Description

Corporate safety is integral for ensuring a safe workplace for our employees and travel experience for our customers. This role is responsible for supporting the development and implementation of a cohesive safety data strategy and supporting the Director of Safety Management Systems (SMS) in growing United's Corporate Safety predictive analytics capabilities.

This analyst will serve as a subject matter expert for corporate safety data analytics and predictive insight strategy and execution. This position will be responsible for supporting new efforts to deliver insightful data analysis and build new key metrics for use by the entire United Safety organization, with the goal of enabling data driven decision making and understanding for corporate safety. The analyst will be responsible for becoming the subject matter expert in several corporate safety specific data streams and leveraging this expertise to deliver insights which are actionable and allow for a predictive approach to safety risk mitigation.

• Develop and implement predictive/prescriptive data analytics workflows for Safety Data Management and streamlining processes
• Collaborate with Digital Technology and United Operational teams to analyze, predict and reduce safety risks and provide measurable solutions
• Support United's Safety Management System (SMS) with predictive data analytics by designing and developing statistical models
• Areas of focus will include, but are not limited to:
• Predictive and prescriptive analytics
• Train and validate models
• Creation and maintenance of standardized corporate safety performance metrics
• Implementation of new data pipelines
• Delivery of prescriptive analysis insights to internal stakeholders
  

Job Responsibilities

• Create and manage new methods for data analysis that provide prescriptive and predictive insights on corporate safety data, leveraging AI tools such as Microsoft Copilot, ChatGPT, Gemini, Claude, and Perplexity to improve analytical efficiency and support data-driven decision-making.
• Design and maintain new and existing corporate safety data pipelines and analytical workflows.
• Partner with US and India based internal partners to establish new data analysis workflows and provide analytical support to corporate and divisional work groups.
• Collaborate with corporate and divisional safety partners to ensure standardization and consistency between all safety analytics efforts enterprise wide.
• Provide support and ongoing subject matter expertise regarding a set of high priority corporate safety datasets and ongoing analytics efforts on those datasets.
• Provide tracking and status update reporting on ongoing assignments, projects, and efforts to US and India based leaders.
  
  

This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc.

Qualifications

What's needed to succeed (Minimum Qualifications):

• Bachelor's degree or 4 years of relevant work experience
• Bachelor's degree in computer science, data science, information sytems, engineering, or another quantitative field (i.e. mathematics, statistics, economics, etc.)
• 2+ years experience in data analytics, statistics , experience in predictive modeling, NLP, ML, Gen AI
• Intermediate level SQL skills
• Experience with Python
• Proficiency writing complex code using both traditional and modern technologies/languages (i.e. Python, Power BI etc.) for queries, procedures, and analytic processing to create useable data insight
• Strong project management and communication skills
• 2-3 years working with complex data (data analytics, information science, data visualization or other relevant quantitative field)
• Hands-on experience using AI tools in projects, internships, or work environments.
• Knowledge of automation platforms such as Power Automate, Copilot Studio, Zapier, or n8n.
  
  

What will help you propel from the pack (Preferred Qualifications):

• Master's degree
• Experience with PySpark, Apache, or Hadoop to deal with massive data sets
• Background in statistical analysis for business understanding