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Afternoon Data Analyst R Programming Jobs in Riverside, MO

Koniag, Inc.

Data Analyst

Kansas City, MO · On-site

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 ...

kgs

Data Analyst

Kansas City, MO · On-site

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 ...

kgs

Data Analyst

Kansas City, MO · On-site

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 ...

Chubb

Data Analyst

Overland Park, KS · On-site

Demonstrated experience with SQL, Python, and/or R for data extraction, manipulation, analysis, and automation * Proven ability to develop data visualizations and dashboards (PowerBI and Qlik ...

Chubb

Data Analyst

Overland Park, KS · On-site

Demonstrated experience with SQL, Python, and/or R for data extraction, manipulation, analysis, and automation * Proven ability to develop data visualizations and dashboards (PowerBI and Qlik ...

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 ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Riverside, MO

Afternoon Data Analyst R Programming information

See Riverside, MO salary details

$32.9K

$79.9K

$131.5K

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

As of Jul 8, 2026, the average yearly pay for afternoon data analyst r programming in Riverside, MO is $79,892.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $93,800.00 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 cities near Riverside, MO are hiring for Afternoon Data Analyst R Programming jobs? Cities near Riverside, MO with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Data Analyst

Data Analyst

Koniag, Inc.

Kansas City, MO • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 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

Social media

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