1

Afternoon Data Analyst R Programming Jobs in Springfield, MO

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

Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make ... Excellent written and verbal communication skills Required Skills for Data Science/Machine Learning:

... R: o Develop as required. DVP&Rs are established collaboratively with RealTruck's Corporate Test ... and analyzing data and figures; transcribing; viewing a computer terminal; expansive reading ...

... R: o Develop as required. DVP&Rs are established collaboratively with RealTruck's Corporate Test ... and analyzing data and figures; transcribing; viewing a computer terminal; expansive reading ...

... R: o Develop as required. DVP&Rs are established collaboratively with RealTruck's Corporate Test ... and analyzing data and figures; transcribing; viewing a computer terminal; expansive reading ...

Provide technical guidance and mentorship to analytics and data engineering team members. Required Qualifications Education: Bachelor's Degree or equivalent experience in Computer Science, Data ...

next page

Showing results 1-20

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 May 28, 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 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 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 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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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 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:
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:

Principal AI Engineer

Brightli

Springfield, MO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Brightli rating

7.6

Company rating: 7.6 out of 10

Based on 16 frontline employees who took The Breakroom Quiz


Job description

Job Description:
Job Title: Principal AI Engineer
Location: Springfield, Missouri
Department: Information Technology
Employment Type: Full-time
Job Summary: Join a compassionate, collaborative team making a measurable difference by building enterprise AI capabilities that empower better decisions and faster insights. Five reasons to apply: opportunity to lead AI strategy across the data platform; hands-on work with cutting-edge LLM and Snowflake Cortex AI technologies; influence production-grade analytics used across the business; mentor and grow technical talent; and contribute to responsible, governed AI practices that help others succeed. We're looking for a creative, systems-thinking engineer with strong data platform expertise, excellent SQL/Python skills, and a passion for translating business questions into scalable AI solutions.
This role is responsible for designing, developing, and implementing enterprise AI capabilities integrated with the organization's data platform (with a focus on Snowflake). You will create natural language-to-SQL solutions, design semantic data models, build prototypes that validate high-value use cases, and guide those prototypes into production. As the senior AI technical contributor within Analytics, you'll partner with Data Engineering and Analytics teams to set architectural patterns, best practices, and governance-aligned standards for LLM-driven systems.
This position offers...
Employee Assistance Program - 24/7 counseling services, legal assistance, & financial consultation for you and your household at no cost
Mileage Reimbursement - Company paid for work functions requiring travel
Employee Discounts - Hotels, Theme Parks & Attractions, College Tuition
Workplace Culture - An environment cultivating employee wellbeing, valuing each individual's humanity, and actively promoting a healthy, joyful workforce
Additional Perks & Benefits - Scroll down to bottom of this post to learn more
Key Responsibilities:
• Lead design and delivery of LLM-enabled analytics capabilities using Snowflake and Cortex AI.
• Develop natural language-to-SQL solutions and conversational query interfaces for business users.
• Design and maintain semantic data models that support reliable AI-driven query generation.
• Build prototype AI applications to demonstrate capabilities and validate business value.
• Drive the transition of prototypes into scalable, production-ready solutions on the enterprise data platform.
• Define architectural patterns, best practices, and standards for applying LLM technologies to structured data.
• Partner with Data Engineering on prompt design, query generation frameworks, and evaluation methodologies.
• Identify high-impact AI opportunities across analytics, reporting, and decision support.
• Evaluate emerging AI tools and Snowflake platform capabilities for adoption.
• Support development of responsible and secure AI usage standards aligned with data governance.
• Document system architectures, design decisions, and implementation approaches.
• Provide technical guidance and mentorship to analytics and data engineering team members.
• Function in accordance with operational guidelines and professional ethics.
• Participate in staff development activities.
• Perform other duties as assigned.
Education, Experience, and/or Credential Qualifications:
• Bachelor's degree or equivalent experience in Computer Science, Data Engineering, Data Science, Information Systems, or related field.
• 7+ years of experience in data, analytics, engineering, or applied AI roles.
• Demonstrated experience building or prototyping AI/LLM-driven solutions in enterprise environments.
• Experience with modern data warehouse platforms (Snowflake preferred).
• Proficiency in SQL and Python.
• Experience with cloud platforms (AWS, Azure, or GCP) preferred.
• Healthcare or regulated industry experience preferred but not required.
Additional Qualifications:
• Strong understanding of modern data warehouse architecture and analytics data modeling practices.
• Experience designing natural language query interfaces or AI-assisted analytics tools.
• Knowledge of prompt engineering, context management, and grounding techniques for LLM systems.
• Knowledge of semantic data modeling and data governance principles.
• Ability to translate complex analytical questions into scalable technical solutions.
• Excellent communication skills for technical and non-technical stakeholders.
• Self-directed problem solver capable of leading new technical initiatives.
• Current driver's license, acceptable driving record and current auto insurance (as listed in employment requirements).
Physical Requirements
• Sedentary work: exerting up to 10 pounds of force occasionally and/or negligible amount frequently to lift, carry, push, or pull objects.
• Repetitive movements of hands, fingers, and arms for typing and/or writing during work shift.
• Primarily sitting with occasional walking or standing for brief periods.
Keywords: Principal AI Engineer, LLM, Snowflake, Cortex AI, Natural Language to SQL, Semantic Data Modeling, Data Engineering, SQL, Python
Position Perks & Benefits:
Paid time off: full-time employees receive an attractive time off package to balance your work and personal life
Employee benefits package: full-time employees receive health, dental, vision, retirement, life, & more
Top-notch training: initial, ongoing, comprehensive, and supportive
Career mobility: advancement opportunities/promoting from within
Welcoming, warm, supportive: a work culture & environment that promotes your well-being, values you as human being, and encourages your health and happiness
Brightli is on a Mission:
A mission to improve client care, reduce the financial burden of community mental health centers by sharing resources, a mission to have a larger voice in advocacy to increase access to mental health and substance user care in our communities, and a mission to evolve the behavioral health industry to better meet the needs of our clients.
As a behavioral and community mental health provider, we prioritize fostering a culture of belonging and connection within our workforce. We encourage applications from individuals with varied backgrounds and experiences, as we believe that a rich tapestry of perspectives strengthens our mission. If you are passionate about empowering local communities and creating an environment where everyone feels valued and supported, we invite you to join our mission-driven organization dedicated to cultivating an authentic workplace.
We are an Equal Employment Opportunity Employer.
Brightli is a Smoke and Tobacco Free Workplace.

What Brightli employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom