PGIM Real Estate – Analyst/Associate, Data Analytics & Governance

Prudential Financial • Newark, NJ

1d • $90,000 - $130,000 • Hybrid

About The Position

PGIM Real Estate is seeking an Analyst or Associate to join its Global Business Enablement team. The role supports delivery of trusted data products and analytics across the real estate investment lifecycle and the application of data governance practices that keep information accurate, well-defined, and reusable. Working with team members, business stakeholders, data stewards, and Technology partners, the successful candidate will document business requirements, trace data to its sources, catalog and define data elements, and build, monitor, and report on data quality rules. This is a hands-on, early-career role in a modern, AI-enabled data environment.

The position is hybrid, with on-site work three times per week, and is based in Newark, New Jersey, or New York, New York. The stated salary range is $90,000 to $130,000; actual compensation may vary based on factors including location, experience, and skills. The role may also be eligible for additional compensation and benefits.

Requirements

• Bachelor's degree in information systems, finance, economics, real estate, data/analytics, or a related field.
• 1–3 years of experience in data analysis, business analysis, data governance, data quality, or reporting; commercial real estate, investment/asset management, or financial services experience is ideal.
• Working proficiency in SQL and advanced Excel.
• Hands-on experience with Power BI or a similar BI tool, and with semantic models.
• Ability to write clear, structured documentation, including business requirements, data definitions, lineage maps, and test results.
• Comfort working with large, imperfect datasets and reconciling data across multiple systems.
• Strong attention to detail and persistence in investigating discrepancies.
• Good communication skills and ability to work effectively with business and technical colleagues.
• Genuine enthusiasm for AI and emerging technologies, demonstrated through hands-on use of current tools and ongoing self-directed learning.
• Collaborative, curious, and organized approach, with eagerness to learn and grow.

Nice To Haves

• Experience with Microsoft Fabric.
• Familiarity with data governance concepts, including data catalogs, business glossaries, data lineage, data quality rules and metrics, and master data management.
• Experience with Microsoft Purview, Ataccama, or similar data governance tools.
• Interest in commercial real estate and investment management; prior exposure is a plus.

Responsibilities

• Gather requirements with business stakeholders and document questions, users, definitions, calculations, and acceptance criteria for data products and reports.
• Trace data lineage for data products, mapping required data elements to source systems, owners, and transformations, and documenting gaps, overlaps, and conflicting definitions.
• Partner with Technology colleagues to build and maintain analytical datasets and reports using SQL, Power BI/Fabric, and Excel, combining internal and external data sources.
• Validate assumptions using source data, reconcile results across funds, systems, and reports, and investigate variances and anomalies.
• Support business testing and validation by preparing test cases, comparing outputs with source and historical data, and tracking issues through resolution.
• Convert recurring ad-hoc requests into reusable datasets and self-service reports.
• Prepare and normalize datasets for reporting.
• Prepare user guides, data dictionaries, and training materials explaining data products and the questions they can answer.
• Support AI use cases by documenting requirements and testing AI-generated outputs for accuracy and reasonableness.
• Catalog data elements in the firm's data catalog, recording business definitions, owners, source systems, classifications, and lineage.
• Maintain the business glossary to promote consistent terminology, calculations, and definitions across teams and regions.
• Work with data stewards and subject-matter experts to establish data quality rules and implement automated, repeatable checks.
• Monitor data quality and produce metrics, scorecards, and trend reporting for stakeholders and governance forums.
• Investigate root causes of data quality issues, refer them to appropriate data stewards, track remediation, and confirm fixes at the source.
• Support governance processes, including changes to definitions and datasets, data access requests, and appropriate handling of sensitive data.

Benefits

• Market-competitive base salary with yearly bonus potential.
• Medical, dental, vision, life, and disability insurance.
• Paid Time Off and leaves of absence, including parental and military leave.
• 401(k) plan with company match up to 4%.
• Company-funded pension plan.
• Wellness programs, including up to $1,600 per year in reimbursement for eligible wellbeing purchases.
• Work/Life Resources covering areas such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development.
• Education Benefit to help finance approved traditional college enrollment and accredited certificate programs.
• Employee Stock Purchase Plan, with shares available at 85% of the lower of the beginning or ending purchase-period price.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level