PMIS Specialist - Data Analytics

Mace•Branchburg Township, NJ
•Hybrid

About The Position

At Mace, our purpose is to redefine the boundaries of ambition. We believe in creating places that are responsible, bringing transformative impact to our people, communities, and societies across the globe. Within our consult business we harness our unique combination of leading-edge practical expertise and project delivery consultancy to unlock the potential in every project.

Requirements

  • Bachelor’s 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.

Nice To Haves

  • Familiarity with Azure Data Factory, Databricks, OneLake, Power Platform, Tableau, SAP, or Dataverse.
  • Knowledge of PMO, program controls, risk management, and portfolio reporting.

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.

Benefits

  • We are also open to discussing part time, flexible, and hybrid working options if suitable with-in the role.
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