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

PGIM•New York, NY

3d•$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 the delivery of trusted data products and analytics across the real estate investment lifecycle and the implementation of data governance practices that keep information accurate, well-defined, and reusable. The position works with team members, business stakeholders, data stewards, and Technology partners to document requirements, trace data to its sources, catalog and define data elements, and build, monitor, and report on data quality rules. It 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; pricing within the range 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.
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, well-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 data that appears incorrect.
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 in commercial real estate, investment/asset management, or financial services.
Microsoft Fabric experience.
Familiarity with data governance concepts such as data catalogs, business glossaries, data lineage, data quality rules and metrics, and master data management.
Experience with Microsoft Purview, Ataccama, or similar tools.
Interest in commercial real estate and investment management; prior exposure is a plus.

Responsibilities

Participate in requirements-gathering sessions and document questions, users, definitions, calculations, and acceptance criteria for data products and reports.
Trace data lineage for new data products, mapping 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 or Fabric, and Excel, combining internal and external data.
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 to reduce manual work and one-off spreadsheet builds.
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 tool, recording business definitions, owners, source systems, classifications, and lineage.
Maintain the business glossary and 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.
Conduct root cause analysis of data quality issues, refer them to appropriate data stewards, track remediation, and confirm fixes are made 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 personal wellbeing purchases.
Work/Life Resources covering topics 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.
Possible additional compensation and benefits.