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

Koniag, Inc.

Data Analyst I

Kansas City, MO · On-site

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools * Conduct basic and complex statistical analyses to identify trends, patterns, and insights across ...

kgs

Data Analyst I

Kansas City, MO · On-site +1

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools * Conduct basic and complex statistical analyses to identify trends, patterns, and insights across ...

kgs

Data Analyst I

Kansas City, MO · On-site +1

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools * Conduct basic and complex statistical analyses to identify trends, patterns, and insights across ...

EquipmentShare

Financial Data Analyst

Kansas City, MO · On-site

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 ...

EquipmentShare

Financial Data Analyst

Kansas City, MO · On-site

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 ...

Varsity Tutors

Data Science Tutor

Overland Park, KS · Remote

$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 ...

Varsity Tutors

Data Science Tutor

Kansas City, MO · Remote

$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 ...

Accenture

Data Protection Sr. Analyst

Kansas City, MO · Hybrid

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

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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 Jun 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 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:
Entry Level Data Analyst R Programming jobs near you
Infographic showing various Entry Level Data Analyst R Programming job openings in Kansas City, MO as of June 2026, with employment types broken down into 2% As Needed, 25% Full Time, 64% Part Time, and 9% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $66,832 per year, or $32.1 per hour.
Data Analyst I

Data Analyst I

Koniag, Inc.

Kansas City, MO • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

Koniag Professional Services LLC, a Koniag Government Services company, is seeking a Data Analyst I 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.
Koniag Professional Services, LLC is seeking an experienced Data Analyst I to provide critical analytical support for the administration of federal grants supporting early childhood education programs nationwide. This position will support approximately 1,900 grants, delivering data-driven insights that promote evidence-based decision-making, improve grant management processes, and enhance program effectiveness. The ideal candidate will possess strong quantitative and qualitative analytical skills, experience with statistical analysis tools, and the ability to translate complex data into actionable recommendations for federal staff and program leadership. This position requires on-site work at Regional Office locations with telework available upon approval.
The Data Analyst I will serve as a key analytical resource supporting federal grant administration for early childhood education programs. This role combines quantitative statistical analysis with qualitative review of program documents to drive programmatic improvements and support federal decision-making. Principal responsibilities will include, but are not limited to:
Quantitative Analysis:
  • Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools
  • Conduct basic and complex statistical analyses to identify trends, patterns, and insights across grant programs
  • Perform longitudinal data analysis, including Program Information Report (PIR) analysis
  • Generate crosstabs, detailed analytical tables, and comparative assessments across programs and regions
  • Identify and resolve reporting anomalies and data quality issues
  • Support congressional reporting and other high-priority data requests
  • Work with data layers and reporting infrastructure to deliver analytical findings

Qualitative Analysis:
  • Conduct qualitative analysis of grant applications, budgets, intake forms, correspondence, and other documents
  • Review documentation to identify errors, missing information, or required follow-up actions
  • Identify themes and patterns in textual data
  • Leverage approved AI tools appropriately while adhering to federal policies
  • Synthesize qualitative findings into actionable recommendations

Reporting and Communication:
  • Develop high-quality written reports explaining data compilation and analysis results
  • Prepare management information reports on a periodic, cyclical, or ad-hoc basis
  • Create data-driven presentations for management meetings, conferences, and leadership briefings
  • Design and deliver oral presentations with supporting materials
  • Develop compelling data stories that communicate insights to diverse audiences
  • Produce executive summaries and briefing materials for leadership
  • Write analytical reports for congressional reporting and present insights to technical and non-technical stakeholders

Education and Experience:
Required:
  • Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field from an accredited college or university
  • A minimum of 3 years of relevant post-baccalaureate professional experience directly related to data analysis
  • U.S. citizenship or legal authorization to work in the United States
  • Ability to pass background investigations as required for access to federal facilities and systems

Security Requirement:
  • Ability to obtain a public trust

Required Skills and Competencies:
  • Strong analytical and critical-thinking skills with demonstrated ability to conduct both quantitative and qualitative analysis
  • Experience in reporting analytical findings to diverse audiences
  • Proven ability to work with data layers and data infrastructure
  • Demonstrated ability to aggregate, analyze, and present data from multiple sources
  • Experience with qualitative data analysis methodologies
  • Proven ability to manage multiple analytical projects simultaneously
  • Exceptional professional communication skills in English - both written and oral
  • Ability to translate complex data findings into actionable recommendations for technical and non-technical stakeholders
  • Proficiency with Microsoft Office Suite and web-based collaboration tools
  • Ability to work independently and collaboratively in a team environment
  • Willingness to travel within and outside the assigned region during contract performance to conduct site visits, attend meetings, conferences, and training

Desired Skills and Competencies:
  • Experience with federal grant programs, particularly Head Start or similar early childhood education programs
  • Proficiency in advanced analytical tools, including Python, R, SQL
  • Experience with data visualization platforms such as Tableau, Power BI
  • Knowledge of statistical software and database management systems
  • Experience with Smartsheet for project management and collaboration
  • Familiarity with Geographic Information Systems (GIS), ArcGIS, or QGIS
  • Experience with survey methodology or implementation
  • Knowledge of GitHub for version control and collaboration
  • Experience with Qualtrics for survey administration and analysis
  • Familiarity with approved AI tools and platforms in federal environments
  • Understanding data quality tools and best practices
  • Experience conducting trend analysis and longitudinal studies
  • Background in early childhood education policy or program evaluation

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
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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

Social media

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