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

Job Classification: Technology - Data Analytics & Management A GLOBAL FIRM WITH A DIVERSE & INCLUSIVE CULTURE As the Global Asset Management business of Prudential, we’re always looking for ways to improve financial services. We’re passionate about making a meaningful impact - touching the lives of millions and solving financial challenges in an ever-changing world. We also believe talent is key to achieving our vision and are intentional about building a culture on respect and collaboration. When you join PGIM, you’ll unlock a motivating and impactful career – all while growing your skills and advancing your profession at one of the world’s leading global asset managers! If you’re not afraid to think differently and challenge the status quo, come and be a part of a dedicated team that’s investing in your future by shaping tomorrow today. At PGIM, You Can! What you will do PGIM is seeking an Analyst or Associate, Data Analytics & Governance to join our Global Business Enablement team within Real Estate. This role supports two closely connected priorities: delivering trusted data products and analytics that inform decisions across the real estate investment lifecycle, and putting into practice the data governance that keeps that information accurate, well-defined and reusable. Working alongside other team members, business stakeholders, data stewards and Technology partners, the Analyst/Associate will document business requirements, trace data back to its sources, catalog and define data elements, and build, monitor and report on data quality rules. This is a hands-on role for an early-career professional who enjoys getting into the data, wants to understand how a global real estate investment business operates, and is excited to grow in a modern, AI-enabled data environment. This is a hybrid role (on-site 3 times a week) based in Newark, NJ or New York, NY. What you can expect Data Analytics · Participate in requirements gathering sessions with business stakeholders and document the questions, users, definitions, calculations and acceptance criteria for new data products and reports. · Trace the full data lineage for each new data product, mapping every required data element back to its source system, owner and transformations, and documenting gaps, overlaps and conflicting definitions. · Partner with Technology team members to build and maintain analytical datasets and reports using SQL, Power BI / Fabric and Excel, combining data from multiple internal and external sources. · Work directly with source data to validate assumptions, reconcile results across funds, systems and reports, and investigate variances and anomalies. · Support business testing and validation of new data products by preparing test cases, comparing outputs to source and historical data, and logging and tracking issues to resolution. · Help convert recurring ad-hoc requests into reusable datasets and self-service reports, reducing manual effort and one-off spreadsheet builds. · Prepare and normalize data sets for reporting. · Prepare user guides, data dictionaries and training materials that explain what each data product contains and the questions it can answer. · Support AI use cases across the team by documenting requirements, testing AI-generated outputs for accuracy and reasonableness. Data Governance · Catalog data elements in the firm's data catalog tool (e.g., Microsoft Purview), capturing business definitions, owners, source systems, classifications and lineage. · Maintain the business glossary to keep terminology, calculations and definitions consistent across teams and regions. · Partner with data stewards and subject-matter experts to establish data quality rules (e.g., completeness, validity, consistency, timeliness and accuracy) and encode them as automated, repeatable checks. · Monitor data quality and produce regular data quality metrics, scorecards and trend reporting for stakeholders and governance forums. · Perform root cause analysis of data quality issues, tracing them back to their source, and refer them to the appropriate data stewards for remediation; track issues through to resolution and confirm fixes are made at the source rather than in downstream reports. · Support governance processes, including change management for definitions and datasets, data access requests and the appropriate handling of sensitive data. What you will bring · 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, ideally in commercial real estate, investment/asset management or financial services. · Working proficiency in SQL and advanced Excel; hands-on experience with Power BI or a similar BI tool (Microsoft Fabric a plus) and with semantic models. · Familiarity with data governance concepts, including data catalogs, business glossaries, data lineage, data quality rules and metrics, master data management; experience with Microsoft Purview, Ataccama or similar tools is a plus. · 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, with the instinct to dig into a number that looks wrong and the persistence to find out why. · Good communication skills and the ability to work effectively with both business and technical colleagues. · Genuine enthusiasm for AI and emerging technologies, demonstrated by hands-on use of current tools and ongoing self-directed learning. · Interest in commercial real estate and investment management; prior exposure is a plus. · A collaborative, curious and organized approach, with an eagerness to learn and grow. *PGIM welcomes all applicants, even if you don't meet every requirement