Real Estate Data Analytics & Governance Analyst (Hybrid)

Prudential Financial, Inc

Newark (NJ)

Hybrid

USD 90,000 - 130,000

Full time

12 days ago

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Job summary

PGIM Real Estate seeks an Analyst/Associate, Data Analytics & Governance, to join the Global Business Enablement team in Newark, NJ or New York, NY. This hybrid role involves delivering trusted data products and implementing data governance across the real estate investment lifecycle.

Responsibilities include documenting requirements, tracing data lineage, building datasets and reports, validating data quality, and supporting AI initiatives. 1–3 years in data analytics or governance is ideal.

Qualifications

  • Bachelor's degree or equivalent in a relevant field and 1–3 years of data analytics, governance, quality or reporting experience.
  • Experience with SQL and Excel; hands-on with BI tools like Power BI; familiarity with data governance concepts and catalogs.
  • Ability to document requirements, data definitions, lineage maps and test results with clarity.

Responsibilities

  • Document business requirements and trace data lineage from source to reports.
  • Build and maintain analytical datasets and reports using SQL and BI tools.
  • Validate data quality, reconcile results across funds and systems, and investigate anomalies.
  • Prepare test cases and support business testing of new data products.
  • Create data dictionaries, user guides and training materials.
  • Support AI use cases by testing AI outputs for accuracy.
  • Convert ad-hoc requests into reusable datasets and self-service reports.

Skills

SQL
Power BI
Advanced Excel
Data storytelling

Education

Bachelor's degree in information systems, finance, economics, real estate, data/analytics or related field

Tools

Microsoft Purview
Fabric
Semantic modeling

Job description

PGIM Real Estate seeks an Analyst/Associate, Data Analytics & Governance, to join the Global Business Enablement team in Newark, NJ or New York, NY. This hybrid role involves delivering trusted data products and implementing data governance across the real estate investment lifecycle.

Responsibilities include documenting requirements, tracing data lineage, building datasets and reports, validating data quality, and supporting AI initiatives. 1–3 years in data analytics or governance is ideal.

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