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

PGIM Open
Newark Full-time Mid-level Data Analysis & BI

At a glance

Mid-level Data Analysis & BI role at PGIM. Newark · full-time · $90,000–$130,000 base.

SalaryStated by PGIM
$90,000 – $130,000
Base salary for this role, in USD per year, as published in the posting.
This role, from PGIMOur estimate for the market: $92,523–$110,000Median $92,523
The range includes the market median of $92,523 for mid-level data analysis & BI roles in Newark.
Worked out from 5 postings that stated pay, median $92,523. Last updated Oct 27, 2026.
RoleData Analysis & BI
SeniorityMid-level
LocationNewark
EmploymentFull-time
Base pay$90,000–$130,000
PostedNov 12, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Gather stakeholder needs for new data products, then document users, definitions, calculations and acceptance tests
  • Map each data product’s fields to source systems, owners and transformations, noting gaps or conflicting definitions
  • Work with technology colleagues to build datasets and reports in SQL, Power BI or Fabric, and Excel
  • Check source data, reconcile figures across funds and reports, investigate anomalies, and test new outputs
  • Catalog data, maintain shared definitions, automate quality checks, report results and track source-level fixes

What you bring

  • A bachelor's degree in information systems, finance, economics, real estate, analytics or a related discipline
  • One to three years in data analysis, business analysis, governance, data quality or reporting
  • Working SQL and advanced Excel skills, plus practical use of Power BI or a comparable BI tool and semantic models
  • Clear documentation skills and the ability to examine large, imperfect datasets and reconcile information across systems

Who this fits

This early-career analyst or associate role suits someone who likes hands-on data work and wants to learn about real estate investing and AI-enabled data. You’ll work with business and technical colleagues. The role is hybrid, with on-site work three days a week in Newark, New Jersey, or New York, New York.

From the employer

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. If your skills align with the role, we encourage you to apply.


Note: Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $90,000 to $130,000. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills. Roles may also be eligible for additional compensation and/or benefits.


About PGIM Real Estate

With $207.9 billion in gross assets under management and administration ($133.8 billion net),1 PGIM Real Estate provides investors and borrowers access to a range of real estate equity, real estate debt, agriculture, and impact solutions across the risk-return spectrum.

PGIM Real Estate is a business of PGIM, the global asset management business of Prudential Financial, Inc. (NYSE: PRU). PGIM Real Estate’s risk management approach, execution capabilities and industry insights are backed by a 50-year legacy of investing in commercial real estate, a 140-year history of real estate financing,2 and the local experience of professionals in 32 cities globally. Through its investment, financing, asset management, and talent management approach, PGIM Real Estate engages in practices that strive to ignite positive environmental and social impact, while pursuing activities that seek to strengthen communities around the world. For more information visit pgimrealestate.com.

What we offer you:


  • Market competitive base salaries, with a yearly bonus potential at every level.
  • Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave.
  • 401(k) plan with company match (up to 4%).
  • Company-funded pension plan.
  • Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs.
  • Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development.
  • Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs.
  • Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period).

Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. To find out more about our Total Rewards package, visit Work Life Balance | Prudential Careers. Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week.


Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom.


Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law.


To maintain the integrity and security of our hiring process, Prudential may use identity verification technologies. Your consent will be obtained before any verification takes place.


If you need an accommodation to complete the application process, please email accommodations.hw@prudential.com.

If you are experiencing a technical issue with your application or an assessment, please email careers.technicalsupport@prudential.com to request assistance.

Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI$90k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.