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Afternoon Data Analyst R Programming Jobs in Newark, NJ

Associate Data Analyst

New York, NY · On-site

$70K - $77K/yr

Provide support for internal ad-hoc reporting and data analytics requests and various internal ... Experienced with SQL programming and Python/R. * Outstanding attention to detail, as well as ...

... R, Stata, pandas to analyze data * 36 months experience with MS Microsoft Office Suite and Adobe software * 24 months of experience tracking and/or coordinating projects * Bachelor's Degree in ...

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 ...

Utilize strong Microsoft Excel, SQL, and other programming language skills to provide high-quality data analysis and support to clients, internal stakeholders, and select media outlets * Serve as ...

Utilize strong Microsoft Excel, SQL, and other programming language skills to provide high-quality data analysis and support to clients, internal stakeholders, and select media outlets * Serve as ...

Senior Data Analyst

New York, NY · Hybrid

$100K - $125K/yr

You work closely with consultants, data engineers, developers, designers and clients across ... Proficiency in Python, R, or similar language for data analysis and automation * Advanced ...

Senior Data Analyst

New York, NY · On-site

$100K - $125K/yr

You work closely with consultants, data engineers, developers, designers and clients across ... Proficiency in Python, R, or similar language for data analysis and automation * Advanced ...

... 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 ...

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 ...

Programming Languages • Python Data Formats • XML, JSON, Parquet, Avro, Protobuf - Familiarity with multiple serialization/storage formats Data & Query • SQL - Strong query building, analysis ...

New

Developing and managing code in SQL, Athena, R, Python, and other languages for data querying and ... programing languages such as Microsoft SQL. Additional qualifications that could help you succeed ...

Data Analyst Location: New York, NY Skills Required * At least 3 years of experience in Money ... Senior Developer level experience in Neo4j Graph database * Strong in Neo4j Cypher queries, Graph ...

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

Manhattan, NY · On-site

$89K/yr

The Data Analyst will analyze these types of data for the purpose of publishing the Annual Summary ... Extensive experience using SAS or R and experience using Microsoft Office, Excel, Access, and ...

Data Analyst

Queens, NY · On-site

$65K - $75K/yr

Experience with statistical software, methods, and analysis, with the ability to learn tools such as R. * 1-2 years' experience creating dashboards and visually compelling data visualizations using ...

Data Analyst

Manhattan, NY · On-site

$90K - $125K/yr

Partner with software developers, database architects, and data analysts to support data initiatives and ensure reliable data delivery. * Independently address the data requirements of multiple teams ...

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Afternoon Data Analyst R Programming information

See Newark, NJ salary details

$35.6K

$86.4K

$142.2K

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

As of Jun 13, 2026, the average yearly pay for afternoon data analyst r programming in Newark, NJ is $86,419.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $101,400.00 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 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 key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

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 the most commonly searched types of Data Analyst R Programming jobs in Newark, NJ? The most popular types of Data Analyst R Programming jobs in Newark, NJ are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Newark, NJ? For Afternoon Data Analyst R Programming jobs in Newark, NJ, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Newark, NJ look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Newark, NJ are:
What cities near Newark, NJ are hiring for Afternoon Data Analyst R Programming jobs? Cities near Newark, NJ with the most Afternoon Data Analyst R Programming job openings:
Associate Data Analyst

Associate Data Analyst

Columbia University

New York, NY • On-site

$70K - $77K/yr

Full-time

Posted 22 days ago


Job description

  • Job Type: Officer of Administration
  • Bargaining Unit:
  • Regular/Temporary: Regular
  • End Date if Temporary:
  • Hours Per Week: 35
  • Standard Work Schedule:
  • Building: Lewisohn Hall
  • Salary Range: 70,000 - 77,800

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.
Position Summary
The Columbia University School of General Studies (GS) is the finest liberal arts college in the United States dedicated to making Ivy League education accessible to nontraditional students. GS was founded in 1947 on the mission of expanding access to elite higher education, and it remains the most diverse college in the Ivy League, with many transfer, first-generation, and international students. GS students are fully integrated with Columbia's broader undergraduate population and are taught by Columbia's celebrated faculty.
The School of General Studies is currently looking for a self-motivated, creative and collaborative reporting analyst who shares our passion for supporting non-traditional students, to join our enrollment management team.
Under the supervision of the Director of Software Development and Analytics, the incumbent performs a wide range of data analyses to assist with the execution and improvement of operational processes. The incumbent will also assist in the management, administration, and customization required to effectively maintain the technical applications used by staff throughout the School of General Studies
Responsibilities
  • Create and develop routine reports utilizing crystal report, SQL, Excel and R/Python, and Crystal Reports.
  • Create reports in Operation Group's IT systems. These systems include but are not limited to Technolutions Slate, Salesforce Advisor Link, and enterprise reporting.
  • Design and modify database objects and create/alter stored procedures, functions and views
  • Provide support for internal ad-hoc reporting and data analytics requests and various internal process improvement initiatives
  • Work with internal teams to assess and evaluate reporting needs including gathering user requirements and clarifying client objectives.
  • Assess reporting results through data investigation, analysis, and evaluation
  • Proactively identify and resolve technical issues or data discrepancies by utilizing internal documentation system logs and research
  • Maintain data integrity and ongoing quality control of delivered reports
  • Create and/or update Requirement, Process, Design, and Technical Documentations.
  • Demonstrates excellent customer service skills when interacting both internally and externally
  • Communicates on complex or sensitive issues on draft such responses for clients, manager or leadership.
  • Performs other duties as assigned by Management

Minimum Qualifications
  • Minimum of two years of related experience or the equivalent combination of education and experience preferred. Must have a general understanding of relational database architecture and object-oriented programming and SQL. Experience with Slate, Salesforce, Crystal Reports, Python, or R preferred. Ability to effectively track and prioritize multiple competing requests to ensure all deadlines are met in accordance with stakeholder expectations. Experience with project management, business process management, client management, business analysis, and a software development framework preferred.

Preferred Qualifications
  • Bachelor's degree or equivalent required in computer science, Information Systems, or a related quantitative field.
  • Experienced with relational databases
  • Experienced with SQL programming and Python/R.
  • Outstanding attention to detail, as well as ability to conceive of the larger picture in relation to strategic planning required.
  • Ability to prioritize and manage multiple tasks under short and changing deadlines, while ensuring timely and accurate execution.
  • Excellent analytical, communication, organizational, and interpersonal skills required.
  • Proven record of collaborative and independent work.
  • Ability to exercise sound judgment, discretion, and tact in a professional setting.

Equal Opportunity Employer / Disability / Veteran
Columbia University is committed to the hiring of qualified local residents.