2

Entry Level Data Analyst R Programming Jobs in Kansas City, MO

Data Engineer

Kansas City, KS ยท On-site

$111K - $134K/yr

Required : โ€ข 1-3 years of data engineering or related experience (Associate Analyst level) โ€ข Basic understanding of data modelling, mapping and data quality/governance practices โ€ข Bachelor ...

Data Engineer

Kansas City, KS

$110K - $132K/yr

In this position, you will work closely with other Data Engineers on your team and members of the ... Experience building solutions for analytical reporting and business intelligence * Experience with ...

ERP Analyst I

Overland Park, KS ยท On-site

$60K - $100K/yr

Role Overview We are hiring an ERP Analyst I , an entry-level role for professionals eager to ... data migration, system integrations, or reporting tools. * Ability to work with developers to ...

ERP Analyst I

Overland Park, KS ยท On-site

$60K - $100K/yr

Role Overview We are hiring an ERP Analyst I , an entry-level role for professionals eager to ... data migration, system integrations, or reporting tools. * Ability to work with developers to ...

ERP Analyst I

Overland Park, KS ยท On-site

$60K - $100K/yr

Role Overview We are hiring an ERP Analyst I , an entry-level role for professionals eager to ... data migration, system integrations, or reporting tools. * Ability to work with developers to ...

Digital Analyst Internships

Independence, MO ยท On-site

$89K - $106K/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 ...

Digital Analyst Internships

Kansas City, KS ยท On-site

$96K - $113K/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 ...

Digital Analyst Internships

Kansas City, MO ยท On-site

$96K - $113K/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 ...

Digital Analyst Internships

Overland Park, KS ยท On-site

$97K - $115K/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 ...

Showing results 41-60

Entry Level Data Analyst R Programming information

See Kansas City, MO salary details

$12

$32

$60

How much do entry level data analyst r programming jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for entry level data analyst r programming in Kansas City, MO is $32.13, according to ZipRecruiter salary data. Most workers in this role earn between $20.62 and $35.87 per hour, depending on experience, location, and employer.

What is an entry level data analyst r programming?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What skills and qualifications are needed to thrive as an entry level data analyst r programming?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

What are the most commonly searched types of Data Analyst R Programming jobs in Kansas City, MO?

The most popular types of Data Analyst R Programming jobs in Kansas City, MO are:

What are popular job titles related to Entry Level Data Analyst R Programming jobs in Kansas City, MO?

For Entry Level Data Analyst R Programming jobs in Kansas City, MO, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analyst R Programming jobs in Kansas City, MO look for?

The top searched job categories for Entry Level Data Analyst R Programming jobs in Kansas City, MO are:

Data Scientist - Biostatistics & Data Science

KUMC University of Kansas Medical Center

Kansas City, KS โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

Department:SOM Department of Biostatistics

-----

Data ScientistPosition Title:Data Scientist - Biostatistics & Data ScienceJob Family Group: Professional StaffJob Description Summary:The Data Scientist will perform basic to intermediate-level data management including data cleaning, data entry, and report generation; participate in project meetings with collaborators; meet with end users for an in-depth understanding of informatics needs and requirements for a broad range of projects; train employees on the use of business intelligence (BI) applications; and assist with the preparation of written reports, manuscripts, and grant applications with investigators under the supervision of a Biostatistics & Data Science member. This individual will play a key role with Environmental influences on Child Health Outcomes (ECHO), IDeA States Pediatric Clinical Trials Network (ISPCTN), and Data Coordinating and Operations Center (DCOC) housed within the Department of Biostatistics & Data Science in ensuring high-quality data management across multi-site clinical trials. This position will serve as the primary point of contact between the DCOC and the participating ISPCTN sites for all data-related activities.Job Description:

Job Duties

  • Serve as the primary data management liaison with ISPCTN clinical sites.

  • Respond to site inquiries and provide timely resolution for data-related issues, including electronic data capture (EDC) access, data entry, and query management.

  • Lead the development and maintenance of study-specific data dictionaries and case report forms (CRFs), ensuring alignment with protocol requirements and standardized data elements.

  • Coordinate with stakeholders to incorporate feedback and maintain consistency across studies.

  • Develop and maintain standard operating procedures (SOPs) and workflows related to data management, EDC use, and site communication.

  • Ensure SOPs are current, aligned with best practices, and implemented across the consortium.

  • Create reports in CRIS Velos and/or Redcap under the supervisor of the Assistant Director of Data Science.

  • Create electronic case report forms (eCRFs).

  • Develop applications to enhance business decision-making capabilities.

  • Analyze existing databases, reports, and processes for opportunities to automate further or simplify utilizing BI tools.

  • Analyze data within various databases utilizing various BI tools and reporting tools to inform business decisions and actions.

  • Write database documentation, including data standards, procedures, and definitions for the data dictionary.

  • Train pertinent staff and other end-users as needed on BI applications, and train other BI specialists on various BI tools.

  • Troubleshoot user issues with BI applications.

  • Ensure research data systems and data management activities comply with applicable federal regulations, Good Clinical Practice guidelines, institutional policies, and other regulatory requirements.

  • Assist the Director of Research IT with system administration, security, maintenance, and operational oversight of research data systems.

  • Support the preparation of reports, manuscripts, and grant applications for investigators under the supervision of Assistant Director of Data Science.

  • Develop and maintain Python and R pipelines for data cleaning, preprocessing, and structuring.

  • Build and update Shiny applications to facilitate interactive data visualization and reporting.

  • Develop pipelines for imaging data harmonization, feature extraction, and quality assurance.

  • Collaborate with neuroimaging investigators to integrate imaging-derived biomarkers with clinical and behavioral datasets.

  • Support reproducible research by maintaining version-controlled analytic workflows and adhering to FAIR data principles.

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 of experience in Computer Science , Information Technology, Statistics, Mathematics or related field. Relevant education may be substituted for experience on a year-for-year basis.

  • Experience with troubleshooting data-related issues.

  • Experience working in a Windows environment.

  • Experience in Relational databases.

  • Experience in creating, conducting training, or documenting Metadata, such as data dictionaries that are utilized for research.

Preferred Qualifications

Education: Bachelor's Degree in Computer Science, Information Technology, Statistics, or Mathematics.

Work Experience:

  • Two (2) years of experience in academic or private health-related research environments.

  • Experience programming in at least one higher-level language (C, C++, Java).

  • Experience with software integration, such as LDAP and Active Directory. PL/SQL, SQL functions, triggers, complex queries, SQL reports.

  • Experience working with relational databases such as Oracle, MySQL, SQL Server, and Business Intelligence tools.

  • Experience with database migration, database development, database maintenance, performance tuning, optimization, or setting up and managing database connections.

  • Experience with the automation of the ETL process between databases.

  • Experience working in a LINUX/UNIX environment.

Skills

  • Communication skills

  • Customer service skills

  • Problem-solving

  • Process and improvement skills.

  • Microsoft Office

  • Tableau

  • R

  • Python

  • SAS

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: Salary

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:$70,200.00 - $105,300.00

Minimum

$70,200.00

Midpoint

$87,700.00

Maximum

$105,300.00