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Afternoon Data Analyst R Programming Jobs in Dunellen, NJ

Sundaysky

Data Analyst

New York, NY · On-site

Building proactive analysis through data mining to identify trends and opportunities for product ... R or Python (similar to SAS, SPSS, etc.) * Database (SQL, MySQL, NoSQL, Splunk, etc.) * Experience ...

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 ...

Curemed Health

Data Analyst

Jersey City, NJ

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

Ra

Data Analyst

New York, NY · 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 ...

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 ...

RAパートナーズ

Data Analyst

New York, NY · 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 ...

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 ...

NYULMC

Data Harmonization Analyst

New York, NY · On-site

This position focuses on analyzing source data structures, developing source-to-target mapping ... Proficiency in at least one programming language (Python, R) and machine learning tools ...

Crossmedia Inc

Sr Data Analyst

New York, NY

$94K - $118K/yr

The Analytics group (Redbox) is passionate about data analysis, measurement, and storytelling. We ... Familiarity with programming languages is a plus (R, Python, dbt, SQL) Location: This role is ...

Inizio Partners

Data Analyst

New York, NY · On-site +1

Own analytics-ready datasets and dashboards from requirements through delivery and adoption * Lead ... Partner with data engineering to: * Investigate root causes of data issues and bugs * Prioritize ...

Capital One

Senior Data Analyst - Commercial

New York, NY · On-site

$94K - $118K/yr

Senior Data Analyst - Commercial At Capital One, data is at the center of everything we do. When we ... Engineering, Mathematics discipline * Scripting experience in (Python, R, Spark, and SQL) * Strong ...

Capital One

Senior Data Analyst - Commercial

New York, NY · On-site

$94K - $118K/yr

Senior Data Analyst - Commercial At Capital One, data is at the center of everything we do. When we ... Engineering, Mathematics discipline * Scripting experience in (Python, R, Spark, and SQL) * Strong ...

Candid Health

Data Analyst

New York, NY · On-site

$135K - $180K/yr

You will perform critical analysis and implement data driven solutions that enable our engineering, product and leadership teams to deliver transformative software to the healthcare providers. What ...

Peloton

Staff Data Analyst

New York, NY · Hybrid

Fluency analyzing data with Python and/or R * Familiarity with dbt and modern analytics engineering principles * Highly skilled in both written and verbal communication. You can convey complex ...

Mondo

Data Analyst

Manhattan, NY · On-site

$50 - $55/hr

Data Analyst, Hybrid ( New York, NY). Start date is ASAP for this 6-month contract position. Job ... engineering, and marketing functions Minimum Requirements: * Proficiency in SQL, required for data ...

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 ...

Jobs for Humanity

Data Analyst

New York, NY · Remote

$55 - $60/hr

Company Name: YUPRO Placement Data Analyst This is a contract opportunity. This is a remote ... Partner with operations, product, and engineering teams to solve data-driven problems * Define and ...

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Showing results 21-40

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

Afternoon Data Analyst R Programming information

See Dunellen, NJ salary details

$35.8K

$87.1K

$143.3K

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

As of Sep 13, 2026, the average yearly pay for afternoon data analyst r programming in Dunellen, NJ is $87,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,900.00 and $102,200.00 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 Dunellen, NJ are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Dunellen, 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 Dunellen, NJ as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $87,094 per year, or $41.9 per hour.

Data Analyst

New York, NY • On-site

Sundaysky
Software Development • 51 - 200 employees
Learn more about Sundayskyexternal

Full-time

Re-posted 15 days ago

Key responsibilities

  • Building proactive analysis through data mining to identify trends and opportunities for product optimization

  • Developing a reporting platform to provide a unified view of results through dashboards and reports

  • Packaging and presenting analytical findings and clearly communicating program results and complex concepts

Job description

SundaySky has a unique and exciting opportunity to join an analytics group for a rapidly growing startup. Our product combines digital technology, advertising, consumer relationship management, and big data for the most recognizable brand names across multiple industries. We are seeking an energetic, self-starter that combines an analytical mind with creative problem-solving skills to use data to drive success. The ideal candidate approaches analysis as a path to strategic thinking that culminates in actionable insights. If you're the kind of person who obsesses over details, thrives in a dynamic, fast-paced collaborative startup environment, wants an opportunity to make a significant impact and jumps at the opportunity to take on new challenges, SundaySky is the place for you.
In a fast paced, ever-changing environment, you will be involved in the following -
  • Building proactive analysis through data mining to identify trends and opportunities for product optimization.
  • Finding areas of opportunity to drive revenue in a digital advertising campaign.
  • Proving value to strategic clients by developing data-driven stories in dynamic presentations.
  • Discovering best practices to reduce subjectivity, display industry leadership, and further develop our product.
  • Developing a reporting platform to provide a unified view of results through dashboards and reports that will be accessed by all levels within SundaySky.
  • Maintaining data integrity working closely with R&D to organize and store data in a format that provides accurate data and allows the business to quickly identify both data and operational issues.
  • Packaging and presenting analytical findings and clearly communicating (both written and verbal) program results and complex concepts to success managers, marketing, sales team, and the end client in both statistical and non-statistical terms.
  • Supporting sales and success management teams by providing data-driven industry overviews, information on research products, assisting with trouble-shooting issues, and answering questions that may arise from data issues and reports.
  • Become an expert in industry, customer and SundaySky measurement methodologies.

Requirements:
The ideal candidate will have the following experience and skillset:
  • Minimum 3 years of experience in business analytics or digital advertising environment
  • Competency in statistical analytic techniques such as: time series data analysis, forecasting segmentation, univariate & multivariate statistical analysis, various metrics and key performance indicators, research & test design, significance testing, hypothesis testing, variance and growth calculations, return on investment
  • Project management skills, including the abilities to handle multiple projects in a fast-paced environment and work effectively with colleagues and clients in diverse departments, geographic locations, and time zones. Balances desire for quantitative rigor with realities of inconsistent business data
  • Critical thinking: capable of generating consistently accurate, useful reports as well as enthusiasm for translating data into actionable insight relevant to marketing program objectives
  • Experience with the following tools:
  • MS Office: Advanced Excel (Pivot tables, advanced macros, etc.) and PowerPoint
  • BI & Analytics Tools (Tableau, MicroStrategy, SAS)
  • Web analytics tools: Google Analytics, Omniture, DART, Coremetrics, etc.
  • Open source statistical software: R or Python (similar to SAS, SPSS, etc.)
  • Database (SQL, MySQL, NoSQL, Splunk, etc.)
  • Experience with data visualization and/or an eye for design
  • Proactive, independent thinker with high energy and positive attitude
  • Bachelor's degree (B.A. or B.Sc.) or equivalent.
  • Experience with ecommerce / digital advertising best practices
  • Willingness to take coaching for continuous personal development
  • Experience working with a distributed team of Sales managers, project managers and technical support.
  • Must be authorized to work in the US

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