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Afternoon Data Analyst R Programming Jobs in Vineland, NJ

Edmunds GovTech, Inc.

Data Analyst

Northfield, NJ · On-site

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 ...

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 ...

RADGOV INC

Data Governance Analyst

Smyrna, DE · On-site

Business Analyst 1 (Data governance analyst) Onsite on Monday and Tuesday (must be within an hour ... Strong command of SQL, Python or R is highly valuable * Experience working in healthcare, public ...

Stefanini

Data Governance Analyst

Smyrna, DE · On-site

The Data Governance Analyst will play a key role in strengthening the DPH's data governance ... Python or R is highly valuableExperience working in healthcare, public health, or government data ...

Stefanini

Data Governance Analyst

Smyrna, DE · On-site

The Data Governance Analyst will play a key role in strengthening the DPH's data governance ... Python or R is highly valuable Experience working in healthcare, public health, or government data ...

Danaher

Digital Analyst Internships

Smyrna, DE

$86K - $101K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Smyrna, DE · On-site

$86K - $101K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Johnson Matthey

Business Systems Analyst

Deptford, NJ · On-site

$92K/yr

As a Production Process Control Engineer, you'll contribute to JM's mission as a world leader in ... Perform data validation using various reports generated from systems * Create and execute developed ...

FocusKPI

Marketing Operations Analyst

Smyrna, DE · On-site

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.

FocusKPI

Marketing Operations Analyst

Smyrna, DE

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.

Gerresheimer

Analytical Chemist

Vineland, NJ

$55K - $70K/yr

Compile and analyze data generated from analytical test equipment * Maintain amp; calibration check lab equipment based on defined maintenance schedule * Assist in R amp;D experimentation providing ...

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Afternoon Data Analyst R Programming information

See Vineland, NJ salary details

$33.7K

$82K

$135K

How much do afternoon data analyst r programming jobs pay per year?

As of Aug 9, 2026, the average yearly pay for afternoon data analyst r programming in Vineland, NJ is $82,017.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,300.00 per year, depending on experience, location, and employer.

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.
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Afternoon Data Analyst R Programming jobs near you

Data Analyst

Edmunds GovTech, Inc.

Northfield, NJ • On-site

Full-time

Re-posted yesterday

Job description

Description

This position is responsible for interacting directly with our clients to discover, acquire, and extract data from their legacy software systems using a wide range of technologies such as SQL, Python, and reporting systems. This role is a fast-paced position that involves working on multiple client engagements at various points within the SDLC. Great communication skills, being detail oriented, and overall organization skills are a must. 


$60,000 - $75,000 (Employer est) 


ROLE AND RESPONSIBILITIES WITH ESSENTIAL FUNCTIONS

  • 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 variety of structured, semi-structured, and unstructured formats
  • Assist in the development of process automations using scripting languages such as Python and Bash
  • Leverage technical platforms and SQL database scripts to develop data extraction methods
  • Deliver high-quality customer service.


Requirements

QUALIFICATIONS AND EDUCATION REQUIREMENTS

  • Bachelor's Degree in MIS, Computer Science, Business Administration, Accounting, Finance or equivalent work experience. 
  • 1-3 years of experience in professional services, client implementation, and/or data migrations. 
  • Experience with Database Management Systems (MSSQL, Oracle, AS400, MySQL, etc.) is a plus. 
  • Knowledge of generalized business practices, accounting reports, financial reports, and payroll reports is a plus. 


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