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Afternoon Data Analyst R Programming Jobs in Camden, NJ

CNCSINFOTECH LLC

Data Analyst

Philadelphia, PA · On-site

The Analyst will act as a liaison between various Data and Engineering stakeholders to develop automated solutions to analyze, correlate and report data and insights to stabilize and scale our self ...

Vanguard

Data Analyst, Specialist

Malvern, PA

Expertise in Python or R for data manipulation, automation and advanced analytics. * Hands-on experience with data visualization tools such as Tableau, Power BI, or similar platforms to create ...

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA · On-site

Expertise in Python or R for data manipulation, automation and advanced analytics. * Hands-on experience with data visualization tools such as Tableau, Power BI, or similar platforms to create ...

The Hartford

Investment Data Analyst

Wayne, PA · On-site

$70K - $90K/yr

Experience working with structured data using a modern scripting language, preferably R, Python, SQL or SAS. Compensation The listed annualized base pay range is primarily based on analysis of ...

The Hartford

Investment Data Analyst

Wayne, PA · On-site

$70K - $90K/yr

Experience working with structured data using a modern scripting language, preferably R, Python, SQL or SAS. Compensation The listed annualized base pay range is primarily based on analysis of ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Camden, NJ

Afternoon Data Analyst R Programming information

See Camden, NJ salary details

$34.3K

$83.4K

$137.2K

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

As of Sep 14, 2026, the average yearly pay for afternoon data analyst r programming in Camden, NJ is $83,375.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 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 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.

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 popular job titles related to Afternoon Data Analyst R Programming jobs in Camden, NJ?

For Afternoon Data Analyst R Programming jobs in Camden, NJ, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Camden, NJ look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Camden, NJ are:

What cities near Camden, NJ are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Camden, NJ with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Camden, NJ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $83,375 per year, or $40.1 per hour.

Data Analyst

Philadelphia, PA • On-site

CNCSINFOTECH LLC
See more jobs at CNCSINFOTECH LLCexternal

Contractor

Re-posted 4 days ago

Job description

Company Description

We provide creative and technology services and solutions in the areas of web design, customized web applications, IT Staffing and e-commerce solutions, Mobile App development and much more services to organizations in the All over the world.

With well defined and documented processes and practices, we ensure successful implementation of all our projects. Our teams are highly trained in best practices of web and application developments and are managed by certified project managers who ensure highest levels of process control and management

Job Description

Data Analyst

Location: Philadelphia, PA

Duration: Long term and open ended Contract

Interview Mode: 

1st round Telephonic, 2nd Round wiill be In-person

Responsibilities: 

 The Analyst will act as a liaison between various Data and Engineering stakeholders to develop automated solutions to analyze, correlate and report data and insights to stabilize and scale our self-install program

  The Analyst should possess expertise in the areas they support and (in due time) understand our organization's systems and capabilities.

You will:

o  Work with technical staff and scrum masters on your team as well as their equivalent peers in other Engineering and Operations departments to gather requirements, design ETL packages, and facilitate UAT Testing.

o   Generate reports using SSRS.

o   Respond to ad hoc requests from Sr. leadership

o   Automate self-service reporting

Requirements:

         Strong experience with SQL databases

         Experience using SSIS to develop ETL packages

         Experience using SSRS for reporting

         Tableau experience is strongly preferred

         Must be comfortable working in an agile environment with shifting priorities


Additional Information

All your information will be kept confidential according to EEO guidelines.

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