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Afternoon Data Analyst R Programming Jobs in Springfield, MO

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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 ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

... disparate data sources. Mentor internal development team and promote self-service analytics to ... DESIRED Skill Sets: 2+ years of experience working with R, SSIS and SSAS Additional Information ...

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Afternoon Data Analyst R Programming information

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$30.9K

$75.2K

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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 Springfield, MO is $75,172.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,200.00 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 Springfield, MO? For Afternoon Data Analyst R Programming jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Springfield, MO look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for Afternoon Data Analyst R Programming jobs? Cities near Springfield, MO with the most Afternoon Data Analyst R Programming job openings:
Data Research Analyst - OPHI

Data Research Analyst - OPHI

Missouri State University

Springfield, MO • On-site

$26.87 - $30/hr

Full-time

Re-posted 5 days ago


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Company rating: 6.3 out of 10

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Job description

Posting Details
Position Information
Position Title
Data Research Analyst - OPHI
Work Location
Springfield Campus
Department
Ozarks Public Health Institute
HR Home Department
020105 OZARKS PUBLIC HEALTH
Pay Grade
34
Proposed Salary
$26.87 - $30.00 an hour
Sponsorship Information
Applicants must be currently authorized to work for ANY employer in the United States on a full-time basis. This position is not eligible for work visa sponsorship.
Position only available to current, regular, full-time Missouri State University employees?
No, Position is available to all applicants.
Appointment Type
Full Time Regular
Exempt/Non-Exempt
Non-Exempt
General Function
The Data Research Analyst - OPHI will be primarily responsible for conducting the community indicators analysis as well as responsible for building, maintaining, and communicating a comprehensive library of local data that supports Community Focus's mission to foster informed, collective action in the Springfield metropolitan region. This position plays a central role in transforming complex, multi-source datasets into accessible, accurate, and compelling data products.
The Analyst will work closely with the Community Focus Facilitator, external stakeholders, and steering committee members to ensure that data is not only collected and managed with rigor but communicated in ways that are meaningful and actionable for a range of audiences, from community coalitions and policymakers to academics and the general public.
Description of Primary Duties
1. Develops, maintains, and expands a comprehensive library of community indicators across domains such as education, health, housing, economic development, and public safety.
2. Identifies, collects, and manages data from diverse public, partner, and survey-based sources, including federal agencies and local organizations; designs and administers community surveys using platforms such as Qualtrics.
3. Establishes and enforces data quality, documentation, and reproducibility standards, including documenting sources, methodologies, and updates schedules to ensure transparency, accuracy, and continuity.
4. Conducts statistical analyses and program evaluation to identify trends, patterns, and insights, and to assess progress and impact of community programs and policy initiatives.
5. Creates clear and compelling data products, including charts, infographics, dashboards, data briefs, and reports for audiences ranging from community coalitions to the general public.
6. Produces research briefs, topic reports, and narrative summaries that translate data findings into accessible, actionable community insights and supports biennial, annual, and grant-related reporting.
7. Reviews and validates all data outputs to ensure accuracy, clarity, and quality prior to publication or distribution.
8. Responds to data requests from community partners, policymakers, researchers, and internal stakeholders in a timely and professional manner.
9. Collaborates with program leadership, steering committees, and organizational colleagues to define data needs, indicator frameworks, reporting priorities, and cross-program data initiatives.
10. Communicates findings effectively to non-technical audiences and supports the development and stewardship of relationships with data partners and community stakeholders.
11. Supervises and supports graduate assistants and student researchers engaged in data collection, analysis, and visualization activities.
12.Contributes to program operations and credibility by developing internal tools and resources, supporting continuous improvement, and upholding the public image of Community Focus and OPHI.
Minimum Acceptable Qualifications
Education: A Bachelor's degree in statistics, data science, social science research, public health, or a related field is required. A Master's degree is preferred. An equivalent combination of education, training, and experience may be considered.
Experience: Minimum of two years' experience in data collection, analysis, and visualization, preferably in a research or community-facing setting. Experience producing data reports and visualizations for non-technical audiences using tools such as R, Tableau, and Excel (Python and SQL preferred). Experience designing and administering surveys (e.g., Qualtrics) and working with public-sector or community datasets. Ability to independently manage complex analytical projects with a focus on data quality, reproducibility, and transparency. Experience with program evaluation, grant-funded environments, or supervision of student researchers preferred.
Skills: Strong analytical and statistical skills, including data cleaning and descriptive analysis, with the ability to create clear, accurate, and visually compelling charts, infographics, and dashboard-ready outputs. Proficient in Microsoft Excel and other Office applications, with working knowledge of SQL and relational databases preferred. Excellent technical and narrative writing skills, with the ability to translate quantitative findings into accessible insights for reporting purposes. Demonstrated attention to detail, commitment to data quality, and strong project management skills, including managing multiple priorities simultaneously. Ability to work independently and collaboratively, with effective interpersonal and communication skills to engage partners and stakeholders. Adaptable mindset with a focus on continuous improvement and evolving program needs.
Other: This position is grant funded. Continuation of this position is contingent upon available grant or contract funding.
Additional Qualifications
Link to Job Description
https://www.missouristate.edu/Human/JobDescriptions/5165.htm
Open Date
06/04/2026
Close Date (If Close Date is blank then the posting is considered open until filled)
Special Instructions to Applicants
First date of consideration will be June 18, 2026. Review of applications will continue until filled.
This position is grant funded. Continuation of this position is contingent upon available grant or contract funding. The Data Research Analyst may supervise student workers and graduate research assistants in support of data collection, analysis, and visualization tasks.
Equal Opportunity Statement
Non-Discrimination Statement
Missouri State University is a community of people with respect for diversity. The University emphasizes the dignity and equality common to all persons and adheres to a strict non-discrimination policy regarding the treatment of individual faculty, staff, and students. In accord with federal law and applicable Missouri statutes, the University does not discriminate on the basis of race, color, national origin (including ancestry, or any other subcategory of national origin recognized by applicable law), religion, sex (including marital status, family status, pregnancy, sexual orientation, gender identity, gender expression, or any other subcategory of sex recognized by applicable law), age, disability, veteran status, genetic information, or any other basis protected by applicable law in employment or in any program or activity offered or sponsored by the University. Sex discrimination encompasses sexual harassment, which includes sexual violence, and is strictly prohibited by Title IX of the Education Amendments of 1972.
This policy shall not be interpreted in a manner as to violate the legal rights of religious organizations or of military organizations associated with the Armed Forces of the United States of America.
The University maintains a grievance procedure incorporating due process available to any person who believes he or she has been discriminated against. Missouri State University is an Equal Opportunity employer. Inquiries concerning the complaint/grievance procedure related to discrimination on the basis of a protected class, including sexual harassment and sexual assault, or compliance with federal and state laws and guidelines, should be addressed to the Director, Office for Institutional Compliance, Carrington Hall 205, 901 S. National Ave., Springfield, Missouri 65897, Compliance@MissouriState.edu, 417-836-4252.
Background Check Statement
Employment will require a criminal background check at University expense.
Posting Detail
Posting Number
20260143FTS
Quicklink for Posting
https://jobs.missouristate.edu/postings/86618

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