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Afternoon Data Analyst R Programming Jobs in Lodi, NJ

... programming (XML, Javascript, or ETL frameworks) * Knowledge of statistics and experience using ... Proficient in Python and statistical and analytical tools like R * Experience with automation tools ...

Proficient in data analysis tools such as SQL, Excel, and statistical software (e.g., R, Python). * Experience with data visualization tools (e.g., Tableau, Power BI) to create compelling visual ...

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 ...

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 ...

... analytical mind with creative problem-solving skills to use data to drive success. The ideal ... R or Python (similar to SAS, SPSS, etc.) Database (SQL, MySQL, NoSQL, Splunk, etc.) Experience with ...

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 ...

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 ...

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 ...

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 ...

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

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

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 ...

Sr Data Analyst

New York, NY · On-site

$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 ...

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 ...

Showing results 21-40

Afternoon Data Analyst R Programming information

See Lodi, NJ salary details

$37K

$89.9K

$147.9K

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

As of Sep 10, 2026, the average yearly pay for afternoon data analyst r programming in Lodi, NJ is $89,898.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $105,500.00 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 Lodi, NJ are hiring for Afternoon Data Analyst R Programming jobs?

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

Infographic showing various Afternoon Data Analyst R Programming job openings in Lodi, NJ as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $89,898 per year, or $43.2 per hour.

Data Analyst (fulltime)

New York, NY • On-site, Remote

Full-time

Re-posted 6 days ago


Job description

Location can be remote. As long as the candidate is available to work during EST business hours and willing to travel to NYC on need basis. (Post Covid)

Prefer someone close to or willing to NYC or NYC suburbs - Not must.

This is a fulltime role. The employer is unable to sponsor or accept candidates who are on Work visa.

  1. Interpret data, clean and analyze results using statistical techniques and provide ongoing reports
  2. Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  3. Acquire data from primary or secondary data sources and maintain databases/data systems
  4. Identify, analyze, and interpret trends or patterns in complex data sets
  5. Visualize datasets using Tableau, PowerBI or Looker
  6. Adept in doing qualitative and Quantitative research.
  7. Building automated dashboards in PowerBI, Tableau etc
  8. Database migration and setup.

Requirements

  1. Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
  2. Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
  3. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  4. Adept at queries, report writing and presenting findings
  5. Proficient in Python and statistical and analytical tools like R
  6. Experience with automation tools for reports automation with ETL tools
  7. Data mining and querying
  8. Experience maintaining complex data sets and as well data migration and creating new datasets

Experience with data visualization tools as well as leveraging Python for creating data visualizations and automating dashboards.