Princeton University is seeking an experienced ERP Reporting & Analytics Lead to implement reporting strategies for a new ERP system across various units, ensuring data governance and alignment with overall data strategy.
Responsibilities: Lead and manage reporting development, guide project teams, establish reporting standards, and ensure compliance with data governance while communicating effectively with stakeholders.
Skills: 7+ years of experience with ERP reporting, expertise in SaaS ERP systems, strong analytical skills, and knowledge of data governance and reporting standards.
Qualifications: Bachelor’s degree preferred, experience in higher education ERP reporting implementations and recent experience with Oracle Cloud or Workday are advantageous.
Location: Princeton, New Jersey, USA
Compensation: Not provided by employer. Typical compensation ranges for this position are between $110,000 - $150,000.
Overview
Princeton University is seeking an experienced Reporting and Analytics Lead to drive readiness, planning, and implementation of reporting for a new Enterprise Resource Planning (ERP) system across Human Capital Management (HCM), Finance, and Academic (Student) systems. Reporting to the University Data Office (UDO), this role will provide functional and technical expertise for data and reporting in modern cloud-based ERP systems and will establish the ERP reporting strategy, define requirements, and successfully deliver reporting from the ERP. This critical role will ensure that ERP reporting fits within Princeton’s overall data strategy including reporting best practices and data governance. The ERP Reporting and Analytics Lead will work with the ERP Program team, functional units, reporting users, and implementation consultants to deliver ERP reporting aligned with functional objectives.
Responsibilities
Reporting Management and Implementation:
Reporting Strategy and Leadership:
Stakeholder Engagement and Communication:
Qualifications
Preferred Qualifications:
Princeton University is an Equal Opportunity and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly. If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information.
PI280058202
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Experienced data engineer needed to design, maintain, and optimize ETL/ELT pipelines and data integrations across analytics and BI systems in a fast-paced, inclusive environment.
Experienced data engineering leader needed to design and deliver scalable Azure-based data platforms (ADF, Fabric, Logic Apps) and mentor a growing team to drive reliable, secure data delivery.
BrandBastion seeks a hands-on Value & Insights Team Lead to turn complex data into ROI-driven narratives, dashboards, and case studies that guide product, marketing, and customer success.
Edmentum is hiring a Lead Data Engineer to design scalable data pipelines, define architecture standards, and mentor engineers while driving data strategy across cloud and big-data platforms.
Experienced Data Engineer II to build and optimize BigQuery-based pipelines and ETL on Google Cloud for a fast-growing data services consultancy.
Data Engineer to design, build, and run near-real-time and batch data pipelines that power NBCUniversal's global streaming analytics and decisioning.
As a world-renowned research university, Princeton seeks to achieve the highest levels of distinction in the discovery and transmission of knowledge and understanding. At the same time, Princeton is distinctive among research universities in its c...
2 jobs