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Data Analytics Engineer Jobs in New Jersey (NOW HIRING)

$122K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Partner with data engineers, analysts, and business stakeholders to translate business logic into clean, reusable data transformations. * Own and optimize semantic layers and data marts that power ...

Analytics Engineer

Jersey City, NJ

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will bridge the gap from our data and the Data Engineering team to the data scientists, analysts and other business stakeholders, aiming to leverage that data for insights and business decisions.

Senior Data Analytics Developer

Whippany, NJ

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Barclays Services Corp. seeks Senior Data Analytics Developer in Whippany, NJ (multiple positions available): * Build reports using financial and Client Relationship Management (CRM) data points ...

NJ · Hybrid

$185K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Barclays Services Corp. seeks Senior Data Analytics Developer in Whippany, NJ (multiple positions available): * Build reports using financial and Client Relationship Management (CRM) data points ...

As Director of Data Analytics, you will be the first dedicated analytics engineering hire and are expected to help shape and grow the data function over time, responsible for building the foundations ...

As Director of Data Analytics, you will be the first dedicated analytics engineering hire and are expected to help shape and grow the data function over time, responsible for building the foundations ...

Director of Data Analytics

Paramus, NJ · On-site

$200 - $250/hr

As Director of Data Analytics, you will be the first dedicated analytics engineering hire and are expected to help shape and grow the data function over time, responsible for building the foundations ...

Analytics Engineer

Jersey City, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will bridge the gap from our data and the Data Engineering team to the data scientists, analysts and other business stakeholders, aiming to leverage that data for insights and business decisions.

Analytics Engineer

Jersey City, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will bridge the gap from our data and the Data Engineering team to the data scientists, analysts and other business stakeholders, aiming to leverage that data for insights and business decisions.

Collaborate with IT, data engineering, and analytics teams to support Power BI dashboards, reporting solutions, data models, and data lake enhancements. * Ensure analytics solutions meet business ...

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Data Analytics Engineer information

See New Jersey salary details

$45.2K

$131.7K

$180.2K

How much do data analytics engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data analytics engineer in New Jersey is $131,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,200.00 and $139,600.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

What are the key skills and qualifications needed to thrive as a data analytics engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What are the most commonly searched types of Data Analytics Engineer jobs in New Jersey?

The most popular types of Data Analytics Engineer jobs in New Jersey are:

What are popular job titles related to Data Analytics Engineer jobs in New Jersey?

For Data Analytics Engineer jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Data Analytics Engineer jobs in New Jersey look for?

The top searched job categories for Data Analytics Engineer jobs in New Jersey are:

What cities in New Jersey are hiring for Data Analytics Engineer jobs?

Cities in New Jersey with the most Data Analytics Engineer job openings:

Infographic showing various Data Analytics Engineer job openings in New Jersey as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $131,693 per year, or $63.3 per hour.

Director - Data Analytics & Engineering

MSIG Holdings USA, Inc.

Warren, NJ

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


Job description

MSIG USA continues to grow!

Company Overview:

MSIG USA is the US-based subsidiary ofMS&AD Insurance Group Holdings, Inc., one of the world's top P&C carriers and a global Class 15 insurer, with A+ ratings and a reach that spans 40+ countries and regions. Leveraging our 350-year heritage, MSIG USA brings the financial strength, expertise, and global footprint to offer commercial insurance solutions that address your business's unique risks.

Role Overview:

We are seeking an experienced and high-caliber Director of Data Analytics & Engineering to lead MSIG USA's data engineering and analytics functions. This is a senior leadership role responsible for building, managing, and scaling a high-performing team of data engineers, analytics engineers, and BI developers - delivering the data infrastructure, pipelines, and insights that power our P&C insurance business.

Reporting directly to the CDAO, you will own the end-to-end delivery of MSIG USA's data engineering platform and analytics capabilities - from raw data ingestion and pipeline orchestration through curated data products, semantic models, and executive-facing dashboards. You will drive engineering excellence, instill a product mindset in the data team, and partner closely with Underwriting, Claims, Actuarial, Finance, Reinsurance, and Product business leaders to translate data into measurable business value.

This role demands a leader who can think strategically, manage and develop talent, and stay technically credible - someone who earns the respect of engineers and business stakeholders alike.

Key Responsibilities

Team Leadership & Organizational Development

  • Lead, manage, and grow a multi-disciplinary team of data engineers, analytics engineers, and BI/reporting developers across MSIG USA's insurance domains.
  • Recruit top-tier talent, build a strong engineering culture, and develop clear career paths and growth frameworks for data engineering and analytics professionals.
  • Establish a data-as-a-product mindset across the team - ensuring every data asset is owned, documented, reliable, and fit for purpose.
  • Set clear goals, performance expectations, and OKRs for the team; conduct regular performance reviews and provide continuous coaching and feedback.
  • Foster a culture of engineering excellence, accountability, continuous improvement, and collaborative delivery.

Data Engineering Platform & Pipeline Delivery

  • Own the design, development, and operations of MSIG USA's data engineering platform built on Microsoft Fabric, Databricks, Azure Data Lake (OneLake), and Azure Data Factory.
  • Lead the delivery of Medallion architecture (Bronze/Silver/Gold) pipelines across all insurance domains - Policy, Claims, Underwriting, Actuarial, Finance, and Reinsurance.
  • Oversee development of Delta Live Tables, batch and streaming pipelines, and feature engineering workflows in Databricks and Fabric.
  • Drive adoption of DataOps practices including CI/CD for data pipelines, automated testing, data contract enforcement, and pipeline observability.
  • Ensure platform reliability, SLA adherence, and proactive incident management for all production data pipelines and data products.
  • Partner with the Enterprise Data & AI Architect to implement and evolve the Data Mesh architecture, enabling domain teams to own and publish trusted data products.

Analytics Engineering & Semantic Modeling

  • Oversee the development and governance of enterprise semantic models, data marts, and dimensional models in Microsoft Fabric and Power BI, serving as the trusted analytics layer for business teams.
  • Drive adoption of dbt or equivalent transformation frameworks for analytics engineering - ensuring transformation logic is version-controlled, tested, and documented.
  • Establish and enforce metric definitions, KPI standards, and business glossary alignment across Underwriting, Claims, Actuarial, Finance, and Reinsurance reporting.
  • Champion self-service analytics - enabling business users to confidently explore data through governed Power BI semantic models without requiring IT intervention.

Business Intelligence & Reporting

  • Own the BI and reporting roadmap for MSIG USA - managing the delivery of executive dashboards, operational scorecards, and domain-specific analytics across all business functions.
  • Ensure Power BI delivery adheres to enterprise standards for performance, security (RLS/OLS), version control, and deployment pipelines.
  • Drive reduction in spreadsheet-based reporting and manual data preparation by replacing legacy workflows with governed, automated data products.
  • Translate complex business requirements from Underwriting, Claims, Actuarial, and Finance into reliable, high-quality BI solutions with clear lineage and documentation.

Data Quality, Governance & Observability

  • Define and enforce data quality standards and SLAs across all engineering pipelines and analytics products - partnering with the Data Governance function and Data Product Owners.
  • Implement data observability frameworks to proactively detect and resolve data freshness, completeness, and accuracy issues before they impact business decisions.
  • Partner with the Data Governance team to ensure pipelines and data products are cataloged, lineage, and classified in Microsoft Purview.
  • Ensure all engineering and analytics outputs comply with NAIC, SOC 2, CCPA, and audit requirements relevant to P&C insurance data.

AI & Advanced Analytics Enablement

  • Partner with the AI Engineering team to deliver feature pipelines, training datasets, and model inference infrastructure that support AI and machine learning use cases across the business.
  • Enable Generative AI and LLM integrations within the data platform - including document ingestion pipelines, vector store management, and structured/unstructured data processing for RAG architectures.
  • Support the MSIG Nexus intelligence portal with reliable, low-latency data products that power real-time analytics, AI summaries, and self-service reporting.
  • Identify opportunities to automate manual data workflows using AI-assisted data transformation, anomaly detection, and intelligent pipeline monitoring.

Stakeholder Engagement & Strategic Planning

  • Serve as the primary data engineering and analytics partner to business domain leaders across Underwriting, Claims, Actuarial, Finance, and Reinsurance - translating domain needs into engineered data solutions.
  • Develop and manage the data engineering and analytics roadmap in alignment with the CDAO's strategic priorities and enterprise data strategy.
  • Present roadmap progress, delivery status, and platform health metrics to senior leadership and the CDAO on a regular cadence.
  • Lead vendor relationships and participate in technology evaluations, RFPs, and contract negotiations for data platform tooling and services.
  • Manage the data engineering and analytics budget - including cloud infrastructure costs, tooling licenses, and contractor spend.

Required Qualifications

Education

  • Bachelor's degree in computer science, Data Engineering, Information Systems, or a related technical field. Master's degree preferred.

Experience

  • 10+ years of progressive experience in data engineering, analytics, or data platform roles - with at least 4+ years in a people management and leadership capacity.
  • Proven track record of building and scaling data engineering teams in complex, multi-domain enterprise environments.
  • Demonstrated experience delivering production-grade data platforms on Microsoft Azure, with strong hands-on depth in Databricks and Microsoft Fabric.
  • Significant experience in financial services, insurance, or regulated industries - P&C insurance strongly preferred.
  • Experience leading BI and analytics delivery at enterprise scale, including Power BI semantic model governance and self-service analytics enablement.
SALARY: The estimated salary range for this position is $180,000.00 - $210,000.00 per year. This is a good-faith assessment of the salary range for this position only. In determining the actual salary within this range, MSIG USA will consider a candidate's relevant experience, location, and other job-related factors.
Additional Benefits:
Healthcare and Retirement Benefits
Comprehensive medical, dental, and vision coverage
401(k) with a generous employer match and profit-sharing contribution
Wellness incentive program
Life and accidental death and dismemberment (AD&D) insurance
Flexible spending programs
Short-term and long-term disability plans
Additional Benefit Programs
Paid time off program
Paid charitable leave
Paid parental leave
Tuition reimbursement program
Personal insurance (auto/homeowners) discounts
#LI-HYBRID
#LI-REMOTE, #LI-HYBRID, #LI-ONSITE

It's an exciting time for our company and a great opportunity to join a financially sound and growing global insurance group!


It is the policy of MSIG USA to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, MSIG USA will provide reasonable accommodations for qualified individuals with disabilities.