Lead Data Analyst - 90340553 - Philadelphia

Your success is a train ride away!

As we move America’s workforce toward the future, Amtrak connects businesses and communities across the country. We employ more than 20,000 diverse, energetic professionals in a variety of career fields throughout the United States. The safety of our passengers, our employees, the public and our operating environment is our priority, and the success of our railroad is due to our employees.

Are you ready to join our team?

Our values of ‘Do the Right Thing, Excel Together and Put Customers First’ are at the heart of what matters most to us, and our Core Capabilities, ‘Building Trust, Accountability, Effective Communication, Customer Focus, and Proactive Safety & Security’ are what every employee needs to know and do to be most impactful at Amtrak. By living the Amtrak values, focusing on our capabilities, and actively embracing and fostering diverse ideas, backgrounds, and perspectives, together we will honor our past and make Amtrak a company of the future.

SUMMARY OF DUTIES:
The Operations Support group—comprised of the asset information / geographic information systems (GIS) team, the engineering asset management (EAM) team, the asset strategy team, and the data analytics team—is responsible for delivering and implementing the tools and technology required to achieve Amtrak’s enterprise asset management strategy for the Infrastructure Maintenance & Construction Services (IMCS) disciplines. Operations Support drives value by shaping the product an portfolio asset management and data analytics strategies to deliver solutions that reduce asset downtime, extend equipment life, and optimize system performance to reduce the overall cost of asset management. Developing robust predictive analytics for the IMCS disciplines (Track, Communications & Signals, Electric Traction, Bridges & Buildings, Equipment & Facilities) is critical to developing a data-driven decision making process and driving an industry-leasing asset management practice at Amtrak.
The Lead Data Analyst is responsible for using asset data captured by Amtrak’s Enterprise Asset Management (EAM) system, Enterprise GeoSpatial (EGS) system, the Track Geometry Car and Data Lake, Catenary Car, and Amtrak’s Enterprise Data Warehouse to develop data models for predictive analytics. The Lead Data Analyst assists the IMCS disciplines in enhancing their data collection processes. The Lead Data Analyst helps automate calculations related to maintenance activities and root cause analysis that would otherwise be done manually. The Lead Data Analyst’s work contributes to allowing the IMCS disciplines to proactively plan infrastructure maintenance activities—reducing asset downtime, extending equipment life, and optimizing system performance—reducing the overall cost of asset management.

ESSENTIAL FUNCTIONS:

• Support development of data models for maintenance and use in asset repair versus replacement decisions for the IMCS disciplines.
• Identify new data points that would be useful in enhancing predictive analytics models.
• Automate calculations and analysis used for asset assessment.
• Integrate asset and maintenance information, data collection, and history through Amtrak’s EAM system and make it available to those who need it for decision making.  The format of the data must be suitable for the audience, i.e., field technicians will need more granularity than executive management.
• Work with all levels of Engineering management to identify and thoroughly understand the Department’s work and asset management needs and ensure data collection and analytics are in alignment with those needs.
• Perform root cause analysis, evaluate asset and maintenance data for trends, and prepare proactive maintenance/asset replacement recommendations according to ISO 55000, PAS 55, or other Asset Management standards.
• Gather requirements, analyzing data sets, and designing dashboards and visualizations to ensure delivery of reporting to support strategic decision-making.
• Administer a governance model for identifying, approving, and managing requests for data analytics tools and reporting.
• Support ongoing quality control activities for data analytics systems and interfaces and develop quality assurance processes to drive continuous improvement in use of predictive analytics in enterprise asset management.

MINIMUM QUALIFICATIONS:

• Bachelor Degree in Engineering, Statistics, Computer Science, or the equivalent combination of education, training and/or experience. Master’s degree a plus. 
• Must have six years (6) experience in performing data analytics work that supports predictive actions around enterprise asset management.
• Highly skilled and experience manipulating and analy