Data Analytics / Predictive Maintenance Specialist

PEMCCO is seeking a Data Analytics / Predictive Maintenance Specialist to support the development and implementation of data‑driven solutions for track performance monitoring, predictive maintenance, and degradation analysis. This role translates inspection, maintenance, and engineering data into actionable insights that improve prioritization, forecasting, dashboard reporting, and asset decision‑making.

PEMCCO, Inc. is an integrated Information Technology, Information Management (IT/IM), Systems Engineering, and Technical Services firm supporting infrastructure, transportation, and capital program delivery environments.
We assist our customers in delivering mission-critical engineering support, program coordination, data-driven decision tools, and technology-enabled solutions that enhance operational performance, asset reliability, and capital project execution.

In support of transit clients, our teams provide multidisciplinary support across trackwork engineering programs, including field inspection, data analytics, construction coordination, and capital program support functions. We specialize in bridging engineering, operations, and technology to improve system performance and lifecycle outcomes.

Living the Culture and Making It Happen is the motto we live by. We Live the Culture by carrying out the tenets of our Core Values of Loyalty, Integrity, and Commitment to our Customers and Employees every day. We Make It Happen by following Smart Organization Healthy Organization (SOHO) principles for internal and external communications and the successful execution of projects, ensuring disciplined coordination across engineering teams, field personnel, program stakeholders, and client leadership in complex, fast-paced project environments.

Our approach emphasizes flexibility, responsiveness, and execution excellence, enabling us to support both technical engineering functions and the programmatic infrastructure required to deliver safe, reliable, and efficient transportation systems.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Key Responsibilities:

• Analyze track and asset performance data to identify trends, degradation patterns, anomalies, and actionable engineering insights.
• Support development of predictive maintenance models, deterioration curves, prioritization logic, and decision-support tools for rail assets and associated infrastructure.
• Develop dashboards, visualizations, and reporting products for engineering, maintenance, and management audiences.
• Support data mining, integration, and validation across inspection data, maintenance history, work orders, and asset inventories.
• Assist with AI/ML-enabled analytics initiatives where appropriate to improve forecasting, anomaly detection, or maintenance planning.
• Support creation, enhancement, and organization of engineering databases related to track assets and associated infrastructure.
• Coordinate with engineers, inspectors, and project managers to ensure field realities are accurately reflected in analytic outputs.
• Translate technical data outputs into concise findings for reports, briefings, and decision-support memoranda.
• Support performance indicator development tied to ride quality, defect recurrence, maintenance cycles, and renewal prioritization.
• Help maintain data quality, documentation, and repeatable analytics workflows across the team.

Competencies:

• Data analytics and predictive maintenance concepts
• Dashboard development and data visualization
• Data validation and interpretation
• Cross-functional collaboration with engineers and operations staff
• Strong written and verbal communication

Required Qualifications:

• Bachelor’s degree in Data Science, Engineering, Computer Science, Applied Mathematics, Statistics, Asset Management, or related field.
• Minimum five (5)+ years of experience in analytics, asset management, engineering data, or predictive maintenance support.
• Demonstrated experience working with large datasets and converting them into practical reporting outputs.

Preferred Qualifications:

• Ability to work with engineering, maintenance, and inspection stakeholders in a fast-paced project environment.
• Ability to support secure handling of project data and systems access requirements.

Additional Eligibility Qualifications:

• Ability to support field reviews and targeted technical investigations when required.
• Ability to obtain project access credentials and support stakeholder briefings as needed.

Benefits

• 15 days of Paid Time Off
• 11 Paid Holidays
• Medical, Dental, and Vision
• Voluntary Short-Term Disability, Life Insurance, Accident, Critical Illness, Hospital Indemnity, Whole Life Plus, Identity Theft, and Law Assure
• 401(k)
• Employee Assistance Program (EAP)

Compensation

• $50 – $84 per hour, depending on Experience, Analytics Stack, and Infrastructure Experience

PEMCCO, Inc. is an equal opportunity employer. The Company does not discriminate on the basis of race, color, sex, sexual orientation, gender identity or expression, religion, national origin, age, disability, genetic information, military or veteran status, pregnancy, childbirth, and related medical conditions or any other characteristics protected by applicable federal, state, or local law.