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Data Analyst R Programming Jobs in New Jersey (NOW HIRING)

Swanktek Inc

Technical Data Analyst

Jersey City, NJ · On-site

Technical Data Analyst Location: Jersey City, NJ (will require onsite interview) Duration ... Collaborate with data architects, data engineers, governance teams, and business stakeholders to ...

New

AvePoint

Data Analyst- Channel

Jersey City, NJ · On-site

$85K - $110K/yr

Proficiency in SQL, Python/R, and data visualization tools (e.g., Power BI, Tableau) a must ... Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret ...

Delta Point LLC

Data Analyst - Delta Point

NJ · On-site

Proficiency in data analysis tools (e.g., SQL, Python, R, Excel) to extract, transform, and analyze large datasets * Technical writing experience in relevant areas, including queries, reports, and ...

Edmunds GovTech

Data Analyst

Northfield, NJ · On-site

$60K - $75K/yr

Work on a team of developers, analysts, and consultants focused on data acquisition and migration * Perform data acquisition techniques for gathering system requirements * Extract data from a wide ...

OrganOx

Senior Data Quality Analyst

Madison, NJ · On-site

The role requires collaboration with other analysts, data engineers, data product managers, and ... R * Proficient at create presentations and data visualizations within PowerPoint * Exhibit ...

OrganOx

Senior Data Quality Analyst

Madison, NJ · On-site

The role requires collaboration with other analysts, data engineers, data product managers, and ... R * Proficient at create presentations and data visualizations within PowerPoint * Exhibit ...

ETS

Research Data Analyst - Policy

Princeton, NJ · On-site

... R, Python, Stata, or SAS; • Able to apply with minimal supervision. Advanced knowledge may be ... data analysis, handling increasingly more complex and diverse research and development data ...

EXL

Business Data Analyst

Jersey City, NJ · On-site

Perform end-to-end data analysis, includi ng data profiling, validation, and transformat ion for ... Work with data engineers and developers to implement and validate data consolidation ...

Judge Group, Inc.

Data Analyst II

Bridgewater, NJ · On-site

$40 - $42/hr

Six or more years of relevant experience in data engineering, system integration, and VOC program implementation. Proficiency in SQL to extract, manipulate, and analyze large datasets. Hands-on ...

Integrated Resources INC

Data Scientist

Newark, NJ · On-site

Experience with tools such as R Programming, visualizations, SAS, Open Source etc. Experience and ... Green Field analysis preferred Additional Information Thanks Nagesh 732-429-1641

asrcfh

Expert Data Analyst

Moorestown, NJ

ASRC Federal Mission Solutions is a premier provider of systems engineering, software engineering ... We are currently seeking an Expert Data Analyst to join our team in Moorestown, NJ.

asrcfh

Expert Data Analyst

Moorestown, NJ · On-site

ASRC Federal Mission Solutions is a premier provider of systems engineering, software engineering ... We are currently seeking an Expert Data Analyst to join our team in Moorestown, NJ.

Walmart

(USA) Senior, Data Analyst

Hoboken, NJ · On-site

$96K - $186K/yr

Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years' experience in data analysis, data science, statistics ...

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All JobsData Analyst R Programming JobsData Analyst R Programming Jobs in New Jersey

Data Analyst R Programming information

What are the key skills and qualifications needed to thrive in the Data Analyst R Programming position, and why are they important?

To excel as a Data Analyst R Programming, you need strong analytical abilities, proficiency in statistical analysis, and hands-on experience with R, often supported by a degree in statistics, mathematics, or a related field. Familiarity with R libraries (such as dplyr, ggplot2), databases (like SQL), and data visualization tools, as well as potential certifications in data analysis or R programming, are highly beneficial. Exceptional problem-solving skills, attention to detail, and clear communication will set you apart when interpreting data and sharing insights with stakeholders. These capabilities are essential for turning raw data into actionable business insights, ensuring data-driven decisions, and fostering collaborative project success.

What is a Data Analyst R Programming job?

A Data Analyst specializing in R Programming uses the R language to analyze, visualize, and interpret data to support business decisions. This role involves cleaning and transforming data, performing statistical analysis, and creating data visualizations or reports. Analysts in this field often work with databases, machine learning models, and automation tasks using R packages like dplyr, ggplot2, and tidyr. They typically collaborate with stakeholders to extract insights and communicate findings in a meaningful way.

What are typical projects or daily tasks for a Data Analyst specializing in R Programming?

As a Data Analyst with expertise in R Programming, your typical responsibilities include cleaning and preparing large datasets, conducting statistical analyses, and creating visualizations to support business decisions. You’ll frequently use R to automate data processing workflows, generate reports, and explore insights, collaborating closely with data scientists, business analysts, and department managers. Projects may range from market trend analysis and customer segmentation to developing predictive models for operational improvements. This role often involves both independent analytical work and active participation in cross-functional meetings to present findings and recommendations.

What are the most commonly searched types of Data Analyst R Programming jobs in New Jersey? The most popular types of Data Analyst R Programming jobs in New Jersey are:
What are popular job titles related to Data Analyst R Programming jobs in New Jersey? For Data Analyst R Programming jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Data Analyst R Programming jobs in New Jersey look for? The top searched job categories for Data Analyst R Programming jobs in New Jersey are:
Data Analyst R Programming jobs near you
Infographic showing various Data Analyst R Programming job openings in New Jersey as of July 2026, with employment types broken down into 4% Internship, 92% Full Time, and 4% Contract. Highlights an 100% In-person job distribution.
Technical Data Analyst

Technical Data Analyst

Swanktek Inc

Jersey City, NJ • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Technical Data Analyst
Location:  Jersey City, NJ  (will require onsite interview)
Duration: Long Term Contract
 
Looking for:
  • Financial services experience
  • Data profiling, mapping, and transformation analysis
  • Strong data analysis, Advanced SQL
  • MDM and Golden Source understanding
  • Ability to analyze and reconcile data across multiple systems
  • Strong communication and documentation skills
  • Self-sufficient and technically hands-on
 
Job Description
  • We are seeking an experienced Technical Data Analyst with strong expertise in Master Data Management (MDM), financial data domains, and enterprise data platforms within the Financial Services industry. This role will function as a key member of the Data organization supporting enterprise data initiatives focused on Security Master, Account, Benchmark, Client, and other critical master and reference data domains.
     
  • The ideal candidate will combine strong analytical and data domain expertise with hands-on experience supporting MDM implementations, data integration, data mapping, and enterprise data warehouse initiatives. The role requires deep familiarity with financial market data, fund accounting platforms, wealth management data environments, and modern cloud-based data platforms.
 
  • This position will serve as a Subject Matter Expert (SME) for master and reference data management, data sourcing, data quality, and integration of legacy financial data platforms into modern enterprise data ecosystems.
 
 Key Responsibilities:
  • Act as a Subject Matter Expert (SME) for Master Data Management (MDM) initiatives across Security Master, Account, Client, Benchmark, and related financial data domains.
  • Analyze, profile, and document enterprise data flows, business rules, and data lineage across financial systems and data platforms.
  • Contribute to the development and execution of the organization’s data strategy, aligning data initiatives with business goals.
  • Support enterprise MDM implementation and modernization initiatives involving legacy and cloud-native data platforms.
  • Support the implementation of scalable data architecture and frameworks to enable advanced analytics and reporting.
  • Perform detailed data analysis, data mapping, source-to-target mapping, and reconciliation activities across multiple financial data sources.
  • Collaborate with data architects, data engineers, governance teams, and business stakeholders to define and manage enterprise master and reference data standards.
  • Support integration of MDM platforms and legacy financial systems into enterprise data lake, warehouse, and cloud data ecosystems.
  • Develop strong familiarity with enterprise financial datasets and serve as a trusted data SME for downstream analytics, operational, and reporting teams.
  • Work with market data providers, internal operational systems, accounting platforms, and external reference data feeds to ensure data consistency and accuracy.
  • Support data quality initiatives including validation, issue analysis, exception management, and governance processes.
  • Partner with engineering and platform teams supporting cloud-based data platforms and modern data architecture initiatives.
  • Assist in defining data governance standards, metadata management, lineage tracking, and operational data controls.
  • Support enterprise reporting, analytics, risk, compliance, and operational data initiatives.
 
Required Skills & Experience:
  • 5–6 years of experience in data analysis, data engineering, or a related technical role.
  • Strong experience in Master Data Management (MDM) and enterprise data analysis.
  • Drive initiatives around data standardization, metadata management, and data cataloging.
  • Expertise with financial master and reference data domains including Security Master, Account, Benchmark, Client, and related financial datasets.
  • Experience with MDM platforms such as GoldenSource or similar enterprise MDM solutions.
  • Strong understanding of financial services data ecosystems and operational data flows.
  • Experience with fund accounting, wealth management, custody, investment operations, or related financial platforms.
  • Understanding data modeling, data warehousing, and data integration concepts.
  • Familiarity with market data providers, reference data feeds, and financial instrument data structures.
  • Experience performing data mapping, source-to-target analysis, reconciliation, and data lineage documentation.
  • Strong SQL and data analysis skills with the ability to analyze large and complex datasets.
  • Understanding of enterprise data warehouse, data lake, and modern cloud data platform architectures.
  • Familiarity with cloud-based data platforms and technologies including Databricks, Spark, and distributed data environments.
  • Experience collaborating with data engineering, architecture, governance, and analytics teams.
  • Knowledge of metadata management, data quality, and governance processes.
  • Experience supporting data integration initiatives across legacy and modern enterprise platforms.
  • Understanding of financial industry regulatory, operational, and reporting data requirements within U.S. financial institutions.
 
Preferred Qualifications:
  • Financial Services, Asset Management, Wealth Management, or Banking industry experience strongly preferred.
  • Exposure to enterprise data modernization and cloud migration initiatives.
  • Familiarity with Azure, AWS, or other cloud-native data ecosystems.
  • Experience supporting analytics, reporting, and enterprise data consumption platforms.
  • Strong communication, documentation, and stakeholder management skills.
  • Ability to function as a trusted SME within enterprise data programs and cross-functional initiatives.
 

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