Data Analytics Engineer Visa Sponsorship Jobs in New Jersey
New Jersey's data analytics engineer job market is anchored by major employers in pharma, finance, and tech, including Johnson & Johnson, Cognizant, and Prudential Financial. Cities like Newark, Jersey City, and Princeton drive demand for this role, with many companies actively filing H-1B visa petitions for qualified international candidates each year.
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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.
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.
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), 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, 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.
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.
Data Analytics Engineer Job Roles in New Jersey
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Search Data Analytics Engineer Jobs in New JerseyData Analytics Engineer Jobs in New Jersey: Frequently Asked Questions
Which companies sponsor visas for data analytics engineers in New Jersey?
Consistent H-1B sponsors for data analytics engineering roles in New Jersey include Cognizant, Tata Consultancy Services, Johnson & Johnson, Prudential Financial, and Merck. Technology consulting firms based in New Jersey's Route 1 corridor also file regularly. DOL disclosure data shows IT-intensive industries, particularly pharma and financial services, account for a significant share of petitions in the state.
Which visa types are most common for data analytics engineer roles in New Jersey?
The H-1B is the primary visa category for data analytics engineers in New Jersey, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates already holding TN visa status (Canadians and Mexicans) may also qualify under the Systems Analyst category. Some employers additionally support L-1B transfers for intracompany specialists.
Which cities in New Jersey have the most data analytics engineer sponsorship jobs?
Jersey City and Newark lead in sponsorship volume, largely due to their proximity to New York City's financial sector and concentration of large corporate offices. Princeton and the Route 1 technology corridor between Princeton and New Brunswick attract pharma and biotech employers. Parsippany and Florham Park also see consistent hiring activity from insurance and professional services firms sponsoring international workers.
How to find data analytics engineer visa sponsorship jobs in New Jersey?
Migrate Mate filters job listings specifically by visa sponsorship availability, letting you search data analytics engineer roles in New Jersey without sorting through positions that won't support international candidates. The platform surfaces employers with documented H-1B sponsorship histories in the state, which is particularly useful given New Jersey's mix of pharma, finance, and tech employers, each with different sponsorship track records.
Are there any New Jersey-specific factors that affect data analytics engineer sponsorship?
New Jersey employers must meet DOL prevailing wage requirements for the specific work location, which differ across counties, so a role in Jersey City carries different wage obligations than one in Trenton. The state's strong university pipeline from Rutgers, NJIT, and Princeton generates significant OPT hiring, meaning many employers are already familiar with sponsorship workflows for data analytics roles before a full H-1B petition is needed.
What is the prevailing wage for sponsored data analytics engineer jobs in New Jersey?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.