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Afternoon Data Analyst R Programming Jobs in New Jersey

Zortech Solutions

Data Analyst

Clark, NJ · On-site

Will be in the R&I group (Research and Innovation) *Primary functions: data architecture, data ... Comprehension of DevOps and Agile development and application to data centric architecture and ...

DataFitch

Data Analyst

Jersey City, NJ · On-site

This role operates as a lead‑level liaison between Data Engineers, Actuaries, and Business ... Perform end-to-end data analysis, including data profiling, validation, and transformation for ...

AvePoint

Data Analyst

Jersey City, NJ

$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 ...

AvePoint

Data Analyst

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 ...

Ra

Data Analyst

Princeton, NJ · On-site

You are powerful in data science, business reporting, and statistical analysis. * You are ... You are an expertise with R, SAS, SPSS. * You have worked in Healthcare. * You are amazing in using ...

Helishores

$80K/yr

... Engineer or related using Power BI, SQL queries, ETL design, and performing Data Analysis/Validation Address : 15 Corporate Place S, Suite 207, Piscataway, NJ 08854 #J-18808-Ljbffr

Curemed Health

Data Analyst

Jersey City, NJ · On-site

Data analyst responsibilities include conducting full lifecycle analysis to include requirements ... programming (XML, Javascript, or ETL frameworks) * Knowledge of statistics and experience using ...

Qusscorp

Data Analyst

Morris Plains, NJ · On-site

Data analyst responsibilities include conducting full lifecycle analysis to include requirements ... programming (XML, Javascript, or ETL frameworks) * Knowledge of statistics and experience using ...

Capgemini

Data Analyst

Hopewell, NJ · On-site

$43.46 - $67.90/hr

... Data Management python programming The Data Analyst is responsible for interpreting data ... developing analytical processes, maintaining data systems, and enabling data-driven decision-making ...

MJH Life Sciences

Senior Data Analyst

Cranbury, NJ · On-site

$100K - $120K/yr

Collaborate with engineering and data teams to ensure data accuracy, integrity, and accessibility ... Experience with statistical analysis using Python, R, or SAS. * Excellent written and verbal ...

vTech Solution

Data Analyst

Trenton, NJ · On-site

Python Programming (Data/Automation) * Code Review & Interpretation * Data Analysis & Profiling * Automated Scripting for Ticket Resolution * Excellent Communication Skills Desired Skills: * Cloud ...

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Afternoon Data Analyst R Programming information

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 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 Afternoon Data Analyst R Programming jobs in New Jersey?

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

What job categories do people searching Afternoon Data Analyst R Programming jobs in New Jersey look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in New Jersey are:

What cities in New Jersey are hiring for Afternoon Data Analyst R Programming jobs?

Cities in New Jersey 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 New Jersey as of July 2026, with employment types broken down into 1% As Needed, 61% Full Time, 30% Part Time, 1% Temporary, 1% Contract, and 6% Nights. Highlights an 99% Physical, and 1% Remote job distribution.

Associate Director, Statistical Programming - R Implementation

Basking Ridge, NJ • On-site

Daiichi Sankyo, Inc.
See more jobs at Daiichi Sankyo, Inc.external

$171K - $256K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society.

Job Summary
The purpose of this job is to provide statistical programming technical support related to R programming, R related system and technology. Develop and drive R programming, package, and R shiny app development. Lead the R programming implementations. Represent programming in DS external collaborations on R technology and capabilities.
Responsibilities

Lead/contribute to DS R programming system technology development:

  • Lead/contribute to the R programming system development.
  • Act as R programming SME and functional representative of R systems and infrastructure to identify system and technology development needs and to define functional requirements.
  • Provide technical guidance to the development.
  • Lead and may approve UATs.
  • Lead/contribute to resolutions of BDM departmental (internal and external) R related analysis and programming technical issues and difficulties.
  • Lead the trainings and implementations of R system and programming technology. 

Developing R package and Shiny apps:

  • Contribute to strategy of R programming innovation to support BDM analysis and reporting, such as R shiny apps for data surveillance, visualization, modeling and simulations, and safety signal detection.
  • Lead the development and validations of R package and/or shiny apps. Identify and build the use cases and process/resources to guide the implementations.
  • Lead, advocate and nurture R programming innovation globally within DS.
  • Represent the programming innovation outside of DS and establish the company reputations and images.
  • Develop study specific shiny apps or execute shiny apps at study level.
  • Publish shiny apps for study or against integrated database

Representing cross-functional collaborations on R capabilities and systems:

  • Collaborate with RD non-BDM and non-RD R user group or developers.
  • Collaborate with biostat innovation to enhance BDM overall R capabilities and implementations.
  • Collaborate with CSPV to enable/effectively support safety signaling detections and across compounds safety reviews (i.e., ILD).
  • Collaborate with Clinical Development and Clinical Sciences for effective data surveillance
Qualifications

Education Qualifications

  • Bachelor's Degree an accredited institution in a science or in a technical field such as computer science or mathematics required Master's Degree preferred

Experience Qualifications

  • 10 or More Years Bachelor’s degree with minimum 10 years (or Master’s degree with minimum of 7 years) proven experience required
  •  7 or More Years Previous experiences in R programming area, involved in R and/or Shiny app development and implementation. required
  •  Advanced working knowledge of all aspects of the R and SAS programming language used in clinical trials programming. required
  •  Advanced working knowledge of CDISC SDTM and ADaM, and extensive experiences of their implementation in clinical trials analysis required
  •  Advanced understanding of statistical concepts in support of analyses and reporting of clinical trials. required
  •  Having knowledge of all phases of drug development, including early and late phase clinical development and submission required
  •  Having solid background of applied statistics required
  •  Solid knowledge of new advanced statistical methods using SAS or R required
  •  Advanced knowledge in database structures and set-up required

 
Travel Requirements
Ability to travel up to 10% of the time.

Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Salary Range:

USD$171,120.00 - USD$256,680.00

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