PMIS Specialist; Data Analytics Hudson Tunnel Project

Job description:

About the Company & Project

Our client is a leading global Consultancy renowned for delivering high-profile, complex, iconic, large-scale capital projects.

We are currently seeking a dedicated and accomplishedPMIS Specialist; Data Analyticsfor theHudson Tunnel Project (HTP).This is a once in a lifetime opportunity to contribute to this landmark project that is poised to deliver transformative impacts across economic, transportation, and environmental sustainability.

The busiest rail connection between New York, New Jersey, and the Northeast Corridor, the Hudson Tunnel Project will improve capacity, reliability, and resiliency of commuter and intercity rail transit serving 800,000 daily passengers from Washington, D.C. to New York and New England. This is a milestone project that is slated to receive nearly $12 billion in federal funding, the largest investment in a mass transit project in modern history.

As thePMIS Specialist; Data Analytics, you will play a pivotal role in the delivery of this significant project. This is a fantastic opportunity to be part of a mission that aligns with our clients purpose: to create responsible places that bring transformative impact to their people, communities, and societies.

Responsibilities

• Develop and maintain PMIS data integrations, pipelines, models, and reporting solutions using Microsoft Fabric, Azure, SQL, Python, and related tools.
• Build Power BI dashboards, semantic models, KPIs, forecasts, and executive reports for portfolio, program, and project performance.
• Integrate and reconcile data from project, financial, ERP, and operational systems to ensure accuracy, consistency, and governance.
• Automate reporting processes to reduce manual effort and improve decision support.
• Translate stakeholder requirements into scalable analytics and PMIS solutions for large, complex programs.

Qualifications:

What You Bring

• Bachelors degree in Computer Science, Information Systems, Engineering, Data Analytics, or a related field.
• Experience in PMIS, data engineering, business intelligence, analytics, or reporting.
• Strong proficiency in Microsoft Fabric, Power BI, SQL, Python, data modeling, and dashboard development.
• Experience integrating enterprise systems and applying data quality and governance practices.
• Demonstrated ability to work with PMO, project, and executive stakeholders to deliver actionable reporting.
• Experience supporting large infrastructure, transportation, utility, or similarly complex programs.
• Familiarity with Azure Data Factory, Databricks, OneLake, Power Platform, Tableau, SAP, or Dataverse.
• Knowledge of PMO, program controls, risk management, and portfolio reporting.

Who You Are

• Proactive: You take initiative and anticipate needs.
• Growth-oriented: Youre eager to learn and expand your capabilities.
• Accountable: You take ownership and follow through with precision.
• Collaborative: You communicate clearly and work well across teams.

Why is This a Great Opportunity:

The estimated starting salary for this position is $180k. Starting salary may vary based on permissible, non-discriminatory factors such as experience, skills and qualifications.

This is an excellent opportunity for aPMIS Specialist; Data Analyticslooking to work on the most challenging, high-profile and innovative projects. If you're an ambitious professional who thrives in a client-facing role and enjoys delivering solutions that drive project success, we encourage you to apply.

Why this is a Great Opportunity

• Full-time position with competitive compensation
• Opportunity to work in a client-facing role delivering significant and impactful capital projects.
• Collaborative and supportive work environment with the opportunity for growth in your career
• Comprehensive benefits package including medical, dental, vision, life insurance, accidental death and dismemberment, disability Insurance, 401(k).

Salary Type : Annual Salary

Salary Min : $ 180000

Salary Max : $ 200000

Currency Type : USD