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Afternoon Data Analyst R Programming Jobs in Lawrence, KS

Wood Plc

Software Development Engineer

Topeka, KS · On-site +1

R Scripting * IM/GIS Applications (i.e. ArcGIS, QGIS, Asset management software) * Intermediate ... SQL Database Management and analysis * Fortran Programming * Graphical Processing Unit (GPU ...

TVH Americas

Item Data Management Expert

Olathe, KS

By leveraging data analysis, SQL skills and deep entity knowledge, you will ensure our item and ... Coordinate the Business Intelligence and Data Engineering teams to create actionable data insights.

Naic

Data Engineer

Kansas City, KS · On-site +1

$93K - $110K/yr

Support analytics and data warehouse platforms, including data marts and data lakes * Monitor ... Programming or scripting languages such as Python or Java * Cloud platforms and data services

DataAnnotation

Growth Analyst - AI Trainer

Topeka, KS · On-site +1

$40/hr

Whether your background is in data science, astrophysics, economics, biostatistics, operations ... Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...

Chegg, Inc.

Business Intelligence Analyst 1

Topeka, KS · Remote

$120K - $180K/yr

Advanced SQL skills and fluency in Python or R for data analysis, modeling, and visualization, and ... Collaborative and proactive; comfortable working with Product, Engineering, and Learning teams.

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Afternoon Data Analyst R Programming information

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$32.1K

$77.9K

$128.3K

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

As of May 28, 2026, the average yearly pay for afternoon data analyst r programming in Lawrence, KS is $77,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,900.00 and $91,500.00 per year, depending on experience, location, and employer.

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 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 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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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

Research Data Analyst

KUMC University of Kansas Medical Center

Kansas City, KS

$29.23 - $43.85/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

Department:SOM Department of Population Health

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Population Health - Mueller ResearchPosition Title:Research Data AnalystJob Family Group: Professional StaffJob Description Summary:The Research Data Analyst will contribute to a multi-year assessment of health service utilization and outcomes in the south-central Midwest/Great Plains in collaboration with a multidisciplinary research team of demographers and health services researchers. In this position, the data analyst will contribute to the quantitative analysis of large scale federal administrative data sets (Medicare, Medicaid claims), as well as report, manuscript, and grant preparation.Job Description:

Job Duties Outlined:

  • Perform descriptive and model-based analyses to support health service utilization and outcomes assessment(s).

  • Generate clear, publication-quality visualizations and tables to communicate analytic findings to a wide audience, including policy audiences and community stakeholders.

  • Identify analytic needs of research questions; design and execute analyses that provide meaningful and actionable answers.

  • Clean, organize, and link multiple large datasets and ensure reproducibility and data integrity.

  • Assist with interpretation of results and dissemination of findings through preparation of reports, journal articles, presentations, and other scholarly outputs. Specifically, contributions towards analytic design and support.

  • Assist with IRB and other regulatory requirements (e.g., data use agreements)

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. It is only a summary of the typical functions of the job, not an exhaustive list of all possible job responsibilities, tasks, duties, and assignments. Furthermore, job duties, responsibilities and activities may change at any time with or without notice.

Required Qualifications:

Work Experience:

  • Six (6) years of experience working with large secondary datasets (E.g. administrative claims data (Medicare, Medicaid), national survey data). Education may be substituted for experience on a year for year basis.

  • Experience and proficiency with one or more statistical software packages (SAS, R, Python, STATA), including data visualization.

Preferred Qualifications:

Education: Master's degree in biostatistics or statistics, data science, epidemiology, sociology, economics, health services research, public or population health, or a related field.

Work Experience:

  • Applied experience with or substantive knowledge of the U.S. health care system and U.S. health policy landscape, including baseline understanding of state and federal health insurance programs inclusive of Medicare, Medicaid, and the Children's Health Insurance Program (CHIP).

  • Evidence of scholarship in rural health service delivery, rural health, health services research, health policy.

Skills:

  • Microsoft Office Suite.

  • Organization.

  • Analytical thinking.

  • Communication.

  • Attention to detail.

  • Time management.

Required Documents:

  • Resume/CV

  • Cover Letter

Comprehensive Benefits Package:

Coverage begins on day one for health, dental, and vision insurance and includes health expense accounts with generous employer contributions if the employee participates in a qualifying health plan. Employer-paid life insurance, long-term disability insurance, and various additional voluntary insurance plans are available. Paid time off, including vacation and sick, begins accruing upon hire, plus ten paid holidays. One paid discretionary day is available after six months of employment, and paid time off for bereavement, jury duty, military service, and parental leave is available after 12 months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457 or 403b) are available. https://www.kumc.edu/human-resources/benefits.html

Employee Type: RegularTime Type: Full timeRate Type: Hourly

Compensation Statement:

The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A combination of factors is considered in making compensation decisions including, but not limited to, education, experience and training, qualifications relative to the requirements of the position, and funding. At the University of Kansas Medical Center, a reasonable estimate for the starting pay range will be the minimum to midpoint of the posted range, taking into account the combination of factors listed above.

Pay Range:$29.23 - $43.85

Minimum

$29.23

Midpoint

$36.54

Maximum

$43.85

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