704 Data Analyst Engineering jobs in Old Bridge,NJ

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Senior Research Software Engineer

Princeton University

Princeton, NJ 08542

~ 46 min OnsiteUrgently Hiring

Strong programming skills, particularly in the languages used in scientific computing applications (specifically Python).
7+ years' experience as a Research Software Engineer, this includes graduate level and postdoctoral work.
Experience with Python libraries (especially NumPy) and the Python ecosystem of tools for managing environments and code testing, linting, dependency management and packaging (e.g., Poetry), etc.
Demonstrated success:
Consistently using conventional and readable coding style.
Performing test-driven development.
Creating comprehensive and well-written documentation.
Participating in regular code reviews as both a reviewer and reviewee.
Developing and maintaining reproducible build systems.
Using version control systems.
Using CI/CD pipelines.
Demonstrated successes contributing to a collaborative research team.
Ability to work independently.
Ability to learn new programming languages and technologies beyond area of core knowledge.
Ability to communicate effectively with a diverse user base having varied levels of technical proficiencies.
Ability to manage code bases with agility in a fast-paced, collaborative environment.
Bachelor's degree in computer science, engineering, sciences, or related computational field required.

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Sr. TPM, GenAI, Catalog Systems

Amazon.com Services LLC

New York, NY 10261

~ 59 min OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

7+ years of working directly with engineering teams experience
5+ years of technical product or program management experience
3+ years of software development experience
5+ years of technical program management working directly with software engineering teams experience
Experience managing programs across cross functional teams, building processes and coordinating release schedules

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

~ 59 min OnsiteUrgently Hiring

Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment
Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design
Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years
Engineering leadership and team-building experience, including managing senior technical staff — 7 years

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Senior Compensation and Benefits Analyst

Astound

Princeton, NJ 08540

~ 46 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

4–6 years of progressive experience in Total Rewards, compensation, and/or benefits analytics
Demonstrated experience building salary structures, conducting market benchmarking, and analyzing benefits plan data in an employer-side HR environment
Experience supporting a merit cycle, pay equity review, or compensation structure redesign from an analytical standpoint
Experience with HRIS platforms (Workday, SAP, UKG, or equivalent)
Advanced Excel proficiency
Knowledge with HRIS platforms and ability to extract, manipulate, and reconcile compensation and benefits data
Familiarity with compensation survey tools and platforms (Croner, Mercer, Radford/Aon, WTW, SHRM) and the ability to conduct job matching and extract benchmarking data independently
Working knowledge of compensation fundamentals: salary structure design, grade and range methodology, merit matrix construction, pay equity analysis, and incentive plan mechanics
Working knowledge of health and welfare benefits: self-insured vs. fully insured plan structures, stop-loss, claims analysis, ACA compliance, ERISA filings, and open enrollment administration
Experience with self-insured health plan data analysis and benefits cost modeling
Prior experience in telecommunications, cable, or similarly complex multi-state, multi-location organization
Bachelor's degree in Human Resources, Finance, Business Administration, Economics, or a related quantitative field

SmartExplore AI is experimental.

New, Posted 11 hours ago

UKG Functional Analyst III

RWJBarnabas Health Corporate Services

Oceanport, NJ 07757

$110,681-$156,337/yr

Hybrid~ 33 minEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Direct UKG WFM / Dimensions experience (Timekeeping required; Advanced Scheduler, plus).
Strong Excel skills (pivot tables, vâ€‘lookups, data analysis).
Demonstrated experience with IT change management, governance, or transformation initiatives.
Ability to document processes and communicate complex technical concepts clearly.

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New, Posted 1 day ago

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Senior Customer Development Analyst

Kenvue

Summit, NJ 07901

Hybrid~ 46 minPaid Time Off

A minimum of a bachelor's degree
At least 2 years prior experience in customer sales, merchandising, analytics or in a consumer products environment
Ability to work effectively within a dynamic, complex matrix, changing environment
Ability to draw key insights that are actionable and will drive growth
Ability to summarize and influence decisions through data
Ability to assess marketplace and various consumer retail business models
Intellectual curiosity and the ability to challenge the status quo and search for creative solutions that can improve the way of doing things; willingness to experiment and pursue new ideas
Advanced Excel, PowerPoint and SharePoint skills are required

SmartExplore AI is experimental.

New, Posted 1 day ago

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Associate Director - External Data Acquisition Lead (EDAL)

Genmab

Plainsboro, NJ 08536

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or Master's degree in a relevant technical area; Master's degree preferred.
10+ years of experience in external or clinical data management, with strong third-party vendor oversight and data acquisition experience.
Experience designing and governing DTS and complex data flows supporting EDC integration and CDISC standards (CDASH, SDTM).
Strong knowledge of diverse external data types (e.g., biomarker, central lab, imaging, eCOA/ePRO, genomic) and ability to align acquisition strategies to clinical and analytical objectives.
Experience managing projects, vendors, and process improvements in global environments.
Proven performance in earlier role.

SmartExplore AI is experimental.

New, Posted 9 hours ago

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