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Afternoon Data Analyst R Programming Jobs in Lincoln, NE

Danaher

Digital Analyst Internships

Lincoln, NE · On-site

$86K - $102K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

FocusKPI

Marketing Operations Analyst

Lincoln, NE · On-site

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.

Nebraska State Jobs

Pavement Engineer

Lincoln, NE · On-site

$61.78/hr

Conduct advanced data analysis and engineering evaluations to support pavement design decisions, life-cycle cost analyses, and the optimization of materials and construction practices. * Lead or ...

Element Materials Technology

Data Processor

Lincoln, NE · On-site

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis ...

KMM

Research & Development Engineer

Lincoln, NE · On-site

Analyze, compile, evaluate, and present data in an organized fashion. * Set up and perform ... Qualifications for R & D Engineer : * Bachelor's Degree or equivalent combination of education and ...

Nelnet, Inc.

IT Business Analyst - NPS

Lincoln, NE · On-site

... developers and solution teams to clarify requirements, validate assumptions, and troubleshoot ... Ongoing professional development in AI, data analysis, or system integration strongly preferred.

Q2

Senior Fraud Analyst

Lincoln, NE

The individual will use data analysis techniques to detect and prevent first and third-party debit ... Engineering, CS, or related field; or an advanced degree with 6 years of experience of experience ...

Q2 Software, Inc.

Senior Fraud Analyst

Lincoln, NE · On-site

The individual will use data analysis techniques to detect and prevent first and third-party debit ... Engineering, CS, or related field; or an advanced degree with 6 years of experience of experience ...

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Afternoon Data Analyst R Programming information

See Lincoln, NE salary details

$29.6K

$71.9K

$118.4K

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

As of Jul 16, 2026, the average yearly pay for afternoon data analyst r programming in Lincoln, NE is $71,948.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,400.00 and $84,400.00 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 Lincoln, NE? The most popular types of Data Analyst R Programming jobs in Lincoln, NE are:
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Afternoon Data Analyst R Programming jobs near you
Institutional Research Reporter and Analyst

Institutional Research Reporter and Analyst

Nebraska Wesleyan University

Lincoln, NE • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 7 days ago

Job description

Nebraska Wesleyan University seeks an entry-level Institutional Research (IR) Reporter and Analyst to support institutional research efforts and data-informed decision-making by building and managing institutional data queries, preparing recurring reports, and responding to standard data requests. This exempt (salaried) position operates as part of the Registrar's Office and reports to the Registrar and Director of Institutional Research.

Key Responsibilities

  • Prepare routine and ad hoc institutional reports, data files, and summaries for internal and external audiences.
  • Extract, clean, validate, and organize data from institutional systems.
  • Support recurring reporting related to enrollment, retention, completion, graduation, student demographics, academic programs, and other institutional metrics.
  • Handle reporting for internal and external surveys (IPEDS, US News, Common Data Set, College Board, NSSE, staff and faculty surveys, alumni surveys, and others).
  • Respond to standard data requests and prepare first-draft analyses for review.
  • Maintain documentation of data definitions, report logic, methodologies, assumptions, and reporting timelines.
  • Assist with survey administration, response tracking, data cleaning, and results summaries.
  • Support assessment reporting and accreditation evidence collection.
  • Collaborate with campus offices to clarify data needs, definitions, and reporting requirements.
  • Conduct quality checks and escalate complex data issues or high-risk reporting questions.
  • Protect confidential student and institutional data in accordance with FERPA and institutional policy.

Minimum Qualifications

  • Bachelor's degree
  • Experience working with data, including data extraction, cleaning, validation, analysis, and reporting.
  • Experience producing and communicating descriptive statistics, summaries, or analytical findings to varied audiences.
  • Demonstrated proficiency with Microsoft Excel, including functions, formulas, sorting, filtering, and data organization.
  • Strong attention to detail and commitment to data accuracy and quality assurance.

Preferred Qualifications

  • Bachelor's degree in education, statistics, social sciences, business, data analytics, information systems, mathematics, public administration, or a related field.
  • Experience working in institutional research, higher education administration, enrollment management, registrar functions, assessment, or a related field.
  • Experience with higher education reporting requirements and surveys such as IPEDS, Common Data Set, College Board, NSSE, or accreditation-related reporting.
  • Experience using statistical software and data visualization and reporting tools such as R, SPSS, Power BI, Tableau, or similar platforms.
  • Knowledge of student information systems.

Salary and Benefits

NWU offers a competitive wage and comprehensive benefits plan including Health Insurance, Life Insurance, Disability benefits, Retirement, seven weeks of paid time off per year as an exempt employee through vacation and holidays, and 100% undergraduate tuition discount for dependents after one year of service.

DOE/Q

How to Apply

To apply, please upload a cover letter, resume or curriculum vita, and the names of three professional references at the following URL: https://nebrwesleyan.applicantpro.com/jobs/. NWU encourages applicants to address how one or more of NWU's Core Values align with their personal values and characteristics and/or how they would contribute to them at NWU in their cover letter or a separate document. Review of applications will begin immediately and continue until the position is filled.

Nebraska Wesleyan University provides equal educational and employment opportunities to qualified persons in all areas of university operation without regard to religion or creed, age, genetic information, gender identity and expression, sexual identity and orientation, veteran status, disability, marital status, race, or national or ethnic origin, in compliance with state and federal laws, including but not limited to Title XII, Title IX, and the ADA. E-Verify, EOE.

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