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Afternoon Data Analyst R Programming Jobs in Springfield, MO

SMSI

Ammonia Refrigeration Engineer

Springfield, MO · On-site

Relevant certifications (e.g., R-22 or ammonia refrigeration certifications) is preferred In-depth ... Proficiency in using diagnostic tools and software for system analysis. Strong troubleshooting and ...

Brightli

Principal AI Engineer

Springfield, MO · On-site

As the senior AI technical contributor within Analytics,you'llpartner with Data Engineering and Analytics teams to set architectural patterns, best practices, and governance-aligned standards for LLM ...

STAFFWORXS

PLC Engineer

Springfield, MO · On-site

Our Digital & Data Analytics and Talent Solutions practice supports leading enterprises across ... Job Details Technical Sales Engineer Locations: Omaha, NE | St. Louis, MO | Kansas City, KS ...

O'Reilly Auto Parts

EDI Administrator

Springfield, MO · On-site

Deliver defined features, functionality, or outcomes from a designated part of the engineering ... Data Analysis: Collect, analyze, and interpret large datasets related to EDI transaction usage ...

Ava R-I School District

Substitute Teachers

Ava, MO · On-site

Ava R-I School District Date Available: As Needed Closing Date: Open English Teacher (Grades 9-12 ... Knowledge of data information systems, data analysis and the formulation of action plans.

TERRACON

Geotechnical Staff Engineer

Springfield, MO · On-site

Analyze data, and perform engineering calculations and analysis for PE review. * Conduct, coordinate or supervise field investigations, laboratory testing, and evaluation of respective data.

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Afternoon Data Analyst R Programming information

See Springfield, MO salary details

$30.9K

$75.2K

$123.7K

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

As of Jun 18, 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 the most commonly searched types of Data Analyst R Programming jobs in Springfield, MO? The most popular types of Data Analyst R Programming jobs in Springfield, MO are:
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Afternoon Data Analyst R Programming jobs near you
Checkmate API Developer

Checkmate API Developer

Husch Blackwell Llp

Springfield, MO • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Checkmate API Developer. Husch Blackwell LLP. St. Louis, Missouri.

Responsible for maintaining integration with the Checkmate API service, including adding support for new features, resolving synchronization issues and curating the data as needed. Code, test, debug, document, and install new programs and technologies and changes to existing programs and technologies. Design programs and technologies under the supervisor’s direction with focus on internal and external clients, including but not limited to attorneys, paralegals, administrative staff, and clients. Act as the liaison and point of contact between Checkmate and Husch Blackwell on all Checkmate related matters. Liaison with the Power BI team to set up reports based on Checkmate data. Analyze end user data needs and develop user-oriented solutions that interface with existing applications. Write structured application and interface code from specifications conforming to established methodology and standards. Conduct unit tests of new and modified applications. Participate in code reviews to represent reviewed work for adherence to standards and specifications. Write and revise program documentation, operations documentation, and user guides in accordance with standards. Maintain and provide support for in-house and third-party applications as needed. Perform research to resolve problems and identify opportunities to correct the situation. Timely complete assignment and make suggestions to improve quality and processes. Identify and communicate the need for resources for assigned tasks and areas. Adhere to established processes and standards. Monitor progress on tasks against plans and report status to the appropriate people. Provide estimates for assigned tasks. Translate detailed specifications and functional requirements into structured application programs, scripts, network solutions, or requirements. Create and maintain documentation of work. Execute a test plan and document the results. The person in this position may work remotely from any location in the United States. Requires: Master’s degree in Computer Science, Information Systems, or a closely related field. 2 years of experience in any software developer role. 2 years of experience building applications on the .Net platform. 2 years of experience with .Net Core, C# and SQL Server; and implementing SQL scripts, stored procedures, and ETL processes. 2 years of experience with Entity Framework Code First; Consuming REST API and JSON data from third parties; unit testing; and Azure Function Apps. Demonstrated experience with full stack development, and troubleshooting and root cause analysis. Demonstrated experience with Microsoft Azure Web Apps, Api Apps, and Logic apps.

Send résumés to Katie Penquite, Director – Talent Acquisition, Husch Blackwell LLP, 4801 Main Street, Suite 1000, Kansas City, MO 64112 or by email to katie.penquite@huschblackwell.com.

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