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Afternoon Data Analyst R Programming Jobs in Mount Olive, NJ

Stefanini is looking for a Data Analyst - Database Design in East Hanover, NJ (Hybrid) For quick ... Partner with Product Owners, BI Developers and Business Leads to conduct business requirement ...

Sr. Manager, Data Analyst

Whippany, NJ · On-site

$87K - $109K/yr

We bring together diverse voices--engineers, pharmacists, customer service veterans, developers ... The Senior Manager, Data Analyst plays a pivotal leadership role in driving the organization's data ...

Sr. Manager, Data Analyst

Whippany, NJ · On-site

$87K - $109K/yr

We bring together diverse voices--engineers, pharmacists, customer service veterans, developers ... The Senior Manager, Data Analyst plays a pivotal leadership role in driving the organization's data ...

Sr. Manager, Data Analyst

Whippany, NJ · On-site +1

$87K - $109K/yr

We bring together diverse voices-engineers, pharmacists, customer service veterans, developers ... The Senior Manager, Data Analyst plays a pivotal leadership role in driving the organization's data ...

Sr. Manager, Data Analyst

Whippany, NJ · On-site +1

$107K - $165K/yr

We bring together diverse voices-engineers, pharmacists, customer service veterans, developers ... The Senior Manager, Data Analyst plays a pivotal leadership role in driving the organization's data ...

Job Title: ETL Data Analyst Job Location: Whitehouse Station, NJ Position Type: Long Term Contract ... SQL etc), programming (XML, Javascript, or ETL frameworks). * Knowledge of statistics and ...

Langan provides expert land development engineering and environmental consulting services for major ... Job Summary Langan is seeking a Senior Environmental Data Analyst to join its Data Management ...

Langan provides expert land development engineering and environmental consulting services for major ... Job Summary Langan is seeking a Senior Environmental Data Analyst to join its Data Management ...

Pricing Data Analyst Location : Bridgewater, NJ Work Model : Hybrid - 3 days on-site, 2 days remote ... Engineering, Product Development, Sustainability, Operations, and Supply Chain. Requirements

Data Business Analyst

Denville, NJ · On-site

$70 - $75/hr

Analyze large datasets to identify trends, data quality issues, and opportunities for process ... Collaborate with data engineering, development, reporting, and QA teams to ensure successful ...

Showing results 21-40

Afternoon Data Analyst R Programming information

See Mount Olive, NJ salary details

$35.4K

$86K

$141.6K

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

As of Sep 11, 2026, the average yearly pay for afternoon data analyst r programming in Mount Olive, NJ is $86,024.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $101,000.00 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 cities near Mount Olive, NJ are hiring for Afternoon Data Analyst R Programming jobs?

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

Infographic showing various Afternoon Data Analyst R Programming job openings in Mount Olive, NJ as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $86,024 per year, or $41.4 per hour.

Data Analyst - Database Design

East Hanover, NJ • On-site

Stefanini Group
IT Services • 10K+ employees

$35 - $40/hr

Contractor

Posted 18 days ago


Key responsibilities

  • Support building, testing, and maintaining data models and data pipelines to operationalize data and analytical models.

  • Analyze data sources for structure, format, and reliability, ensuring data integrity and quality.

  • Partner with stakeholders to gather requirements and support data governance and documentation processes.


Job description

Details:
Stefanini Group is hiring!
Stefanini is looking for a Data Analyst - Database Design in East Hanover, NJ (Hybrid)
For quick apply, please reach out to Madelaine 'Madie' Yu
Call: 248-728-6420 / Email: Madelaine.Yu@stefanini.com
Open for W2 candidates only!
Work Location:
  • Hybrid: 100 Deforest Ave., East Hanover, NJ 07936

Work Schedule:
  • Monday to Friday, 8:00 AM - 5:00PM (40 hours per week)

Description: Leverage analysis design techniques to solve business problems using information technology to operationalize data and analytical models to drive long-term business results.
How you will contribute
You will:
  • Partner with MDS in providing accessibility, retrievability, security and protection of data in an ethical manner.
  • Partner with Product Owners, BI Developers and Business Leads to conduct business requirement gathering & continuous improvement sessions to support the business and understand requirements for analytical projects and develop necessary requirement documents and acceptance criteria to support their development in line with process guidelines
  • Develop UAT (User Acceptance Testing) and SIT (System Integration Testing) test cases based off analytical data product requirements.
  • Support for scoping, building, testing, and maintaining transport/data pipelines and retrieving applicable data sets for specific use cases.
  • Support building, testing, and maintaining data models with the flexibility to change when business requirements change, while also reconciling multiple logical source models into a single, logically consistent model.
  • Analyze the structure, format, and reliability of new and existing data sources, considering factors such as data integrity, completeness, accuracy, and drive continuous improvement.
  • Participate in data governance processes to ensure data is properly maintained and document for reusability by the business
  • Understand data and metadata to support consistency of information retrieval, combination, analysis, pattern recognition and interpretation.

What you will bring:
A desire to drive your future and accelerate your career and the following experience and knowledge:
  • Understanding of Data Engineering concepts within a business setting, including working with multiple systems such as SAP, internal and external data sources. Experience in developing, enhancing, testing, and maintaining data products.
  • Experience in using diverse range of languages and tools, including scripting languages, for data extraction, transformation, storage, processing, and integration.
  • Analyze business requirements as a guide for data modeling and apply data analysis, design, modeling, and quality assurance techniques, continuous improvement, based on a detailed understanding of business processes, to establish, modify or maintain data structures and associated components (entity descriptions, relationship descriptions, attribute definitions).
  • Ability to simplify complex problems and effectively communicating technical concepts to a diverse audience.

Job Requirements
Details:
More about this role
  • Key Skills: Strong hands-on SQL and Alteryx experience is essential
  • Process Analysis & Documentation: Ability to analyze existing processes, identify gaps, and document business/technical requirements
  • Backlog Management: Experience breaking down data processes into actionable backlog items and working with Product Owners in ADO
  • ETL & Data Model Remediation: Ability to assess and identify remediation needs across ETL pipelines, reporting layers, and data models
  • Location/Work Hours: Candidates must be available during Eastern Time (ET) business hours

What extra ingredients will you bring:
  • Cloud computing technologies (Azure, GCP)
  • Programming Languages: SQL, Python, PySpark (Apache Spark), DAX, etc.
  • Analytics platforms: Databricks, Google Cloud Dataproc, etc.
  • Experience with CI/CD, DevOps, and DataOps techniques.
  • Experience with ETL, Data pipelines and architecture
  • Technical Documentation
  • Experience in data modelling and wrangling techniques and tools i.e., Star Schema, Snowflake Schema, Data vault, Alteryx, Power BI, Tableau, etc.
  • Data quality and profiling methods

Education / Certifications:
  • Bachelor's degree in a related field. BS Computer Science, Information Systems, etc.

Job specific requirements:
  • 1+ years Data Engineering/Modeling
  • 3+ years Database Design

Listed salary ranges may vary based on experience, qualifications, and local market.
Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We also speak with you about the process including interviews and job offers.
About Stefanini Group
The Stefanini Group is a global provider of offshore, onshore, and nearshore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
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Pay Range:
$ 35.00 - $ 40.00