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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 ...

Associated Wholesale Grocers

Data Engineer

Kansas City, KS

$107K - $129K/yr

As an Associate Analyst (Data Engineer) on the Data Analytics Team, you will be integral to this journey. Your primary area of responsibility will be building a strong data ecosystem which supports a ...

SolvdUS, Inc

Director of Data Engineering

Lenexa, KS · On-site +1

The Director will manage a small team of data analysts and engineers and will work closely with an external implementation partner during the initial build-out of the data lake and data warehouse.

SolvdUS, Inc

Director of Data Engineering

Lenexa, KS · Remote

The Director will manage a small team of data analysts and engineers and will work closely with an external implementation partner during theinitial build-out of the data lake and data warehouse. The ...

Associated Wholesale Grocers

Data Architect

Kansas City, KS · Hybrid

$60 - $77.25/hr

Data Architect Location: 5000 Kansas Avenue Kansas City, KS 66106 Department: Information ... DevOps technologies (Jenkins, CI/CD pipelines, IaC frameworks such as Ansible) * Strong analytical ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Lawrence, KS

Afternoon Data Analyst R Programming information

See Lawrence, KS salary details

$32.1K

$77.9K

$128.3K

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

As of Jul 2, 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 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 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 Assistant - Radiology

KUMC University of Kansas Medical Center

Kansas City, KS

$22.88 - $33.17/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

Department:SOM KC Radiology

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Levendovszky LabPosition Title:Research Assistant - RadiologyJob Family Group: Professional StaffJob Description Summary:The Research Assistant supports imaging and data analysis activities within the Department of Radiology's magnetic resonance imaging (MRI) research laboratory. The role focuses on studies related to cerebrovascular pathology and glymphatic biology in the context of Alzheimer's disease and related dementias. Responsibilities include supporting MRI data acquisition workflows, performing image and data processing, and assisting with analysis procedures according to established study protocols. The position follows study-specific methodologies for imaging parameter selection and data processing based on acquisition characteristics, image quality, and research objectives. The role works in coordination with interdisciplinary research teams, including collaborators in neurology, psychology, radiology, physics, bioengineering, and biostatistics. The position reports to the Director of the Cerebrovascular Imaging and Analytics (CINA) Lab, Swati Rane Levendovszky.Job Description:

Job Duties

  • Perform preprocessing and pipelining of functional and structural MRI and DTI data; prepare and analyze data for presentation; work at the command-line in for neuroimaging processing and analysis (FSL, AFNI, in-house software tools).

  • Assist with modifying computer scripts dedicated to analysis tasks.

  • Prepare figures for presentations and manuscripts and assist in manuscript and grant preparation including writing methodology reports.

  • Prepare documentation data analysis workflow and other experimental practices.

  • Attend and participate in CINA meetings.

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:

  • Four (4) years experience statistics, analysis, or research. Relevant education may be substituted for experience on a year for year basis.

  • Experience with fundamental neuroimaging concepts.

  • Experience with a command line environment (e.g. UNIX, MATLAB, Python, R).

Preferred Qualifications

Education: Master's degree in engineering, biomedical engineering, medical physics, physics, chemistry, biostatistics, computational neuroscience or related fields.

Work Experience:

  • Two (2) years of experience with Python, MATLAB, and/or R programming language.

  • Experience in working with clinical populations, especially seniors or those with degenerative brain disease.

  • Two (2) years of experience with Python, MATLAB, and/or R programming language.

  • Experience with MRI acquisitions and functional and structural MRI data analysis.

Skills

  • Computer skills

  • Interpersonal skills

  • Attention to detail

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:$22.88 - $33.17

Minimum

$22.88

Midpoint

$28.03

Maximum

$33.17

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