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

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools to support grant administration and program oversight. * Conduct both basic and complex statistical ...

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools to support grant administration and program oversight. * Conduct both basic and complex statistical ...

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools to support grant administration and program oversight. * Conduct both basic and complex statistical ...

We're hiring a Financial Data Analyst to support our Corporate HQ in Kansas City, MO , and we're ... Knowledge of an analytical language like Python, R, SAS, SPSS, etc. preferred A Workplace For All ...

Data Science Tutor

Overland Park, KS ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Kansas City, MO ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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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 Jul 8, 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 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 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 are the key skills and qualifications needed to thrive as an Entry Level Data Analyst specializing in R Programming, and why are they important?

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 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 Analyst

Data Analyst

Koniag, Inc.

Kansas City, MO โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Job description

Koniag Professional Services, LLC, a Koniag Government Services company, is seeking a Data Analyst to support KPS and our government customer in Kansas City, MO. This position requires the candidate to be able to obtain a Public Trust. This position is for a Future New Business Opportunity.
We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more
The Data Analyst will collect, analyze, and report on program data to identify trends, support decision-making, and drive process improvements. Core responsibilities include data quality oversight, system maintenance, and conducting quantitative and qualitative analyses to develop reports, visualizations, and data-driven insights for federal staff and program leadership. This is an ONSITE position required to be performed at the Kansa City office locations, with telework available upon approval.
Essential Functions, Responsibilities & Duties may include, but are not limited to:
  • Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools to support grant administration and program oversight.
  • Conduct both basic and complex statistical analyses to identify trends, patterns, and actionable insights across federal grant programs.
  • Perform longitudinal data analysis, including Program Information Report (PIR) analysis, and develop high-quality written reports explaining the results of data compilation and analysis activities.
  • Prepare management information reports on a periodic, cyclical, or ad-hoc basis to support program leadership and decision-making.
  • Identify and resolve reporting anomalies and data quality issues to ensure the integrity of program data.
  • Create data-driven presentations for management meetings, conferences, and leadership briefings.
  • Support congressional reporting and respond to other high-priority data requests in a timely and accurate manner.
  • Conduct trend analysis and comparative assessments across programs and regions to identify opportunities for program improvement.
  • Conduct qualitative analysis of grant applications, budgets, intake forms, and other grant-related documents.
  • Review documentation to identify errors, missing information, or required follow-up actions and communicate findings appropriately.
  • Analyze correspondence and communications between the federal government and grant recipients to identify themes and patterns in textual data.
  • Leverage AI tools appropriately while adhering to federal policies, including approved AI platforms.
  • Synthesize qualitative findings into actionable recommendations for program staff and leadership.
  • Develop compelling data stories that communicate complex insights to diverse audiences, including both technical and non-technical stakeholders.
  • Create executive summaries and briefing materials for leadership, including materials for state conferences and internal decision-making support.
  • Design and deliver oral presentations with support materials to a variety of audiences.
  • Generate crosstabs, detailed analytical tables, and data visualizations to support reporting needs.
  • Translate complex data findings into clear, actionable recommendations that drive program improvements.

Position Requirements:
Education:
  • Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field from an accredited college or university.

Required Experience:
  • A minimum of 3 years of relevant post-baccalaureate professional experience directly related to data analysis.

Required Skills and Competencies:
  • Strong analytical and critical-thinking skills with the ability to work independently and collaboratively in a team environment.
  • Demonstrated ability to aggregate, analyze, and present data from multiple sources in a clear and meaningful way.
  • Experience with methodology or implementation of AI application tools (GitHub, R, Qualtrics, Tableau, or Power BI), ArcGIS
  • Experience reporting analytical findings to diverse audiences, including both technical and non-technical stakeholders.
  • Experience with Excel, Python, R, and preferably Smartsheet
  • Experience working with data layers and data infrastructure to support analytical and reporting activities.
  • Experience with qualitative data analysis methodologies, including identifying themes and patterns in textual data.
  • Proven ability to manage multiple analytical projects simultaneously and meet deadlines in a fast-paced environment.
  • Proficiency with Microsoft Office Suite (Excel, Word, PowerPoint) and web-based collaboration tools.
  • Professional communication skills, both written and oral, include the ability to produce high-quality written reports and deliver oral presentations.

Travel Requirements:
  • Contractor personnel are required to travel within and outside the Region during the performance of this contract to conduct site visits, attend meetings, conferences, and training

Additional Requirements:
  • U.S. citizenship or legal authorization to work in the United States
  • Ability to obtain and maintain a Public Trust security clearance
  • Ability to pass required background investigations for access to federal facilities and systems
  • Ability to work independently and collaboratively in a team environment
  • Ability to maintain confidentiality and handle sensitive information appropriately
  • Willingness to complete mandatory training requirements

Security Requirement:
  • Ability to obtain and maintain a Public Trust security clearance

Desired Skills and Competencies:
  • Experience working with federal grant programs, particularly in data analysis or program oversight capacity.
  • Knowledge of Head Start or similar early childhood education programs.
  • SQL, GIS, Data Visualizations, Survey Methodology or Implementation, application of AI
  • Knowledge of survey methodology or survey implementation practices.
  • Experience with AI tools and platforms, including GitHub and Qualtrics, in compliance with applicable federal policies.
  • Familiarity with web-based data quality and collaboration tools.

Our Equal Employment Opportunity Policy
The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.
The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations.
Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com.
Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352

Koniag logo

About Koniag

Sourced by ZipRecruiter

Industry

Investment management and consulting services

Company size

501 - 1,000 Employees

Headquarters location

Kodiak, AK, US

Year founded

1972

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