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Data Processing Assistant Jobs in Union, NJ (NOW HIRING)

Avtech Solutions

DBIQ Data and AI Engineer --

Manhattan, NY · On-site

$126K - $151K/yr

Implement data quality controls, validation checks, and reconciliation processes. * Support ... * Assist in prompt development, evaluation, and optimization activities. * Contribute to the ...

1 point system

Data Scientist(Analyst)

New York, NY · Remote

... * Assist with internal investigations, litigation, and regulatory matters by identifying ... Process and manipulate large datasets for eDiscovery, including filtering, deduplication, and data ...

City of New York

HR Data Report Aide

Manhattan, NY · On-site

... - Assist with HR data audits and validation processes - Support ad-hoc data requests and reporting activities - Collaborate with HR team members to improve data management processes COLLEGE AIDE (ALL ...

City of New York

HR Data Report Aide

Manhattan, NY · On-site

... - Assist with HR data audits and validation processes - Support ad-hoc data requests and reporting activities - Collaborate with HR team members to improve data management processes COLLEGE AIDE (ALL ...

Oscar Health

Data Scientist I

New York, NY · Hybrid

$119K - $156K/yr

... processes that power business decision-making. This position is well-suited for early-career data ... * Assist with the testing, validation, and refinement of statistical or analytical models.

PortPro

Data Scientist

New York, NY · On-site +1

These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed ...

PortPro

Data Scientist

New York, NY · Remote

These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed ...

University of Rochester

Data Analyst I

New York, NY · On-site +1

$21.78 - $30.53/hr

Serve as a resource to nursing departments related to UR Financials tasks and processes * Assist ... Strong organizational, data analysis and problem solving skills required * Familiarity with ...

FreshDirect

GCP Data Cloud Architect with AI

Woodbridge, NJ · On-site

$64.25 - $82.75/hr

... processing large-scalebatchand streaming data used in inventory and forecasting. * * Customer 360 & Personalization:Assist in integrating transactional and behavioral data using Pub/Sub and Dataflow ...

Mondo

Senior AI Data Engineer

Manhattan, NY · On-site

$65 - $72/hr

Key Responsibilities: 1. Data Pipeline Development: a. Assist in the design, development, and maintenance of scalable data pipelines to process and integrate data from various sources. b. Implement ...

Oscar Health Insurance

Data Scientist I

Manhattan, NY · On-site

$119K - $156K/yr

... processes that power business decision-making. This position is well-suited for early-career data ... * Assist with the testing, validation, and refinement of statistical or analytical models.

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All JobsData Processing JobsData Processing Assistant JobsData Processing Assistant Jobs in Union, NJ

Data Processing Assistant information

See Union, NJ salary details

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How much do data processing assistant jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for data processing assistant in Union, NJ is $20.65, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $22.79 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data processing assistant?

To thrive as a Data Processing Assistant, you need strong data entry skills, attention to detail, and a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database management systems, and sometimes basic knowledge of data processing software is typically required. Excellent organizational abilities, time management, and the capacity to maintain confidentiality set top performers apart. These skills ensure accurate, efficient handling of sensitive information, directly supporting effective business operations.

What are some common challenges faced by data processing assistants, and how can they be addressed?

Data Processing Assistants often encounter challenges such as managing large volumes of data with tight deadlines and ensuring the accuracy of information being entered or processed. To address these issues, it's important to develop strong organizational habits, regularly double-check work for errors, and leverage available software tools to automate repetitive tasks. Collaborating closely with data analysts, supervisors, and IT team members can also help resolve discrepancies quickly and maintain data integrity.

What is the difference between Data Processing Assistant vs Data Entry Clerk?

AspectData Processing AssistantData Entry Clerk
Required CredentialsHigh school diploma; some roles may prefer certifications in data managementHigh school diploma; basic computer skills
Work EnvironmentOffice settings, data centers, or remoteOffice environments, primarily in administrative settings
Employer & Industry UsageBusinesses, government agencies, healthcare, financeAdministrative offices, retail, healthcare, government
Common Search & ComparisonOften compared for data handling tasks, technical skillsCompared for basic data input, administrative support

The main difference is that Data Processing Assistants handle more complex data management tasks, often involving data validation and processing, while Data Entry Clerks focus primarily on inputting data accurately. Both roles are essential in data-related workflows but differ in scope and technical requirements.

What does a data processing assistant do?

A data processing assistant is responsible for collecting, organizing, and verifying data to ensure accuracy and completeness. They often use software tools like spreadsheets or database systems and may perform tasks such as data entry, cleaning, and formatting to support data analysis and reporting.

What are popular job titles related to Data Processing Assistant jobs in Union, NJ?

For Data Processing Assistant jobs in Union, NJ, the most frequently searched job titles are:

What job categories do people searching Data Processing Assistant jobs in Union, NJ look for?

The top searched job categories for Data Processing Assistant jobs in Union, NJ are:

What cities near Union, NJ are hiring for Data Processing Assistant jobs?

Cities near Union, NJ with the most Data Processing Assistant job openings:

Data Processing Assistant jobs near you
Infographic showing various Data Processing Assistant job openings in Union, NJ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,956 per year, or $20.7 per hour.

Data Analyst / Data Scientist 4-8 Years - USC/Gc/H4EAD

Manhattan, NY • On-site

Hudson Manpower
See more jobs at Hudson Manpowerexternal

Other

Posted 8 days ago

Job description

Job Description

We are seeking experienced Data Analytics / Data Science professionals with 4–8 years of hands-on experience in data analysis, statistical modeling, business intelligence, and/or machine learning. The ideal candidate will have strong expertise in SQL, Python, data visualization, statistical analysis, data modeling, and modern cloud-based data platforms, with the ability to translate complex datasets into actionable business insights.

Experience with modern AI/ML, Generative AI, LLMs, and AI-assisted analytics is highly desirable.

Experience: 4–8 Years
Employment Type: Full-Time W2 Only
Work Authorization: U.S. Citizen / Green Card / H4 EAD
Location: Open to opportunities across the United States
Relocation: Must be willing to relocate anywhere in the U.S. for a suitable opportunity

Key Responsibilities

  • Collect, clean, transform, and analyze structured and unstructured data.

  • Perform Exploratory Data Analysis (EDA) and identify trends, patterns, anomalies, and business opportunities.

  • Develop dashboards, reports, and data visualizations using Power BI, Tableau, or equivalent tools.

  • Write complex and optimized SQL queries for data extraction and analysis.

  • Develop statistical models and machine learning solutions for business problems.

  • Build and evaluate predictive models using appropriate ML algorithms.

  • Perform feature engineering, model validation, and performance evaluation.

  • Work with large-scale datasets using modern data processing technologies.

  • Collaborate with data engineers, software engineers, product teams, and business stakeholders.

  • Communicate analytical findings and recommendations to technical and non-technical stakeholders.

  • Support data quality, governance, validation, and documentation initiatives.

  • Deploy and monitor analytical or machine learning models in production environments where applicable.

  • Leverage AI/GenAI tools to improve data analysis, reporting, automation, and productivity.

Cloud & Modern Data Technologies Experience with one or more of the following:

  • AWS, Microsoft Azure, or Google Cloud Platform (GCP)

  • Snowflake, Databricks, BigQuery, Redshift, or Azure Synapse

  • Cloud-based data warehouses and data lakes

  • Apache Spark / PySpark

  • ETL/ELT tools and modern data pipeline technologies

  • Airflow, dbt, or equivalent data orchestration/transformation tools

  • Data lakehouse architecture and distributed data processing

AI / Machine Learning / GenAI

Experience with the following is highly desirable:

  • Machine Learning using Scikit-learn, XGBoost, TensorFlow, or PyTorch

  • Generative AI and LLM-based applications

  • Experience working with OpenAI, Azure OpenAI, Amazon Bedrock, Google Vertex AI, or equivalent AI platforms

  • RAG (Retrieval-Augmented Generation) concepts

  • Embeddings and vector databases

  • AI-powered analytics and intelligent automation

  • LLM prompt engineering and evaluation

  • Familiarity with LangChain, LlamaIndex, or similar frameworks

  • Experience using AI coding/analytics assistants such as GitHub Copilot or equivalent tools

Data Engineering & Analytics Exposure

  • Experience working with large and complex datasets.

  • Understanding of data pipelines, ETL/ELT, data ingestion, transformation, and orchestration.

  • Exposure to Kafka or other event-streaming technologies is a plus.

  • Understanding of data governance, lineage, security, and data quality practices.

  • Experience with APIs and integrating data from multiple sources is desirable.

Preferred Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Technology, or a related field.

  • Experience building end-to-end analytics or data science solutions.

  • Experience deploying ML models or analytical applications to cloud environments.

  • Knowledge of MLOps and model lifecycle management.

  • Experience with MLflow, Kubeflow, or equivalent platforms.

  • Understanding of responsible AI, model monitoring, and AI governance.

  • Experience presenting analytical insights to senior stakeholders.

Required Skills

  • 4–8 years of professional experience in Data Analytics, Data Science, Business Intelligence, or a related field.

  • Strong proficiency in SQL, including complex queries, joins, CTEs, window functions, aggregations, and query optimization.

  • Strong hands-on experience with Python for data analysis and/or data science.

  • Experience with Pandas, NumPy, Matplotlib, Seaborn, or equivalent Python libraries.

  • Strong understanding of statistics, probability, hypothesis testing, regression, and statistical analysis.

  • Experience with data visualization and BI tools, such as Power BI, Tableau, Looker, or similar.

  • Understanding of data modeling, ETL/ELT concepts, data quality, and data pipelines.

  • Experience with machine learning concepts and frameworks, including Scikit-learn or equivalent.

  • Experience working with relational databases such as PostgreSQL, MySQL, SQL Server, Oracle, or similar.

  • Strong analytical, problem-solving, and communication skills.

  • Experience working in Agile/Scrum environments.

Core Technology Stack

Python | SQL | Pandas | NumPy | Scikit-learn | PySpark | Power BI | Tableau | AWS | Azure | GCP | Snowflake | Databricks | BigQuery | Spark | Airflow | dbt | Machine Learning | Generative AI | LLMs | RAG | Vector Databases | Git

Candidate Requirements

  • 4–8 years of hands-on professional experience in Data Analytics/Data Science or related roles.

  • Must be authorized to work in the U.S. as a U.S. Citizen, Green Card holder, or H4 EAD holder.

  • W2 only.

  • Must be willing to relocate anywhere in the United States for a suitable opportunity.

  • Strong communication and stakeholder-management skills.

  • Ability to work independently as well as collaboratively in cross-functional teams.

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