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Afternoon Data Analyst R Programming Jobs in South Dakota

Medvantx Inc

Sr. Data, Reporting Analyst

Sioux Falls, SD · On-site

$82K - $104K/yr

As a Sr. Data & Reporting Analyst, your primary focus will be on transforming complex data into ... Data Engineers and Database Administrators. * Create and maintain data models, report datasets ...

Omnitech, Inc.

Data Engineer

Sioux Falls, SD · On-site

$110K - $132K/yr

Data Engineer DEPARTMENT: Engineering ***REQUIREMENTS: Qualified candidates must be legally ... Knowledge of Semantic models and Data Analysis Expressions (DAX) * Experience with Big Data ...

Omnitech Inc

Data Engineer

Sioux Falls, SD · On-site

$110K - $132K/yr

Data Engineer DEPARTMENT: Engineering ***REQUIREMENTS: Qualified candidates must be legally ... Knowledge of Semantic models and Data Analysis Expressions (DAX) * Experience with Big Data ...

Omnitech Inc

Data Engineer

Sioux Falls, SD · On-site

$110K - $132K/yr

Data Engineer DEPARTMENT: Engineering ***REQUIREMENTS: Qualified candidates must be legally ... Knowledge of Semantic models and Data Analysis Expressions (DAX) * Experience with Big Data ...

Medvantx

Pharmacy Systems & Data Lead

Sioux Falls, SD · On-site

... cause analysis across pharmacy applications, databases, integrations, APIs, and supporting ... engineering, infrastructure teams, business stakeholders, and third-party vendors to deliver ...

POET LLC

Data Engineer

Sioux Falls, SD · On-site

$113K - $136K/yr

The Data Engineer will build reliable systems to enable analytics and ensure the timely capture and ... Excellent coding skills, including python, R, C#, SQL, and Java * The ability to create ELT ...

Poet

Data Engineer

Sioux Falls, SD · On-site

$113K - $136K/yr

The Data Engineer will build reliable systems to enable analytics and ensure the timely capture and ... Excellent coding skills, including python, R, C#, SQL, and Java * The ability to create ELT ...

Sanford Health

Senior Data Modeler

Sioux Falls, SD · Remote

$40/hr

The Senior Data Modeler leads collaboration with data architects, data engineers, and business stakeholders to translate complex business rules and analytical requirements into robust conceptual ...

Sanford Health

Senior Data Modeler

Sioux Falls, SD · On-site

$40/hr

The Senior Data Modeler leads collaboration with data architects, data engineers, and business stakeholders to translate complex business rules and analytical requirements into robust conceptual ...

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Afternoon Data Analyst R Programming information

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?

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 South Dakota? For Afternoon Data Analyst R Programming jobs in South Dakota, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in South Dakota look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in South Dakota are:
Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in South Dakota as of July 2026, with employment types broken down into 1% As Needed, 53% Full Time, 37% Part Time, 1% Temporary, 2% Contract, and 6% Nights. Highlights an 99% Physical, and 1% Remote job distribution.

Data Scientist

Sterling Computers Corporation

North Sioux City, SD • On-site

Full-time

Re-posted yesterday

Job description

Title: Data Scientist

Reports to: Director of Product and Business Development

Location: North Sioux City, SD

Job Description: Sterling is seeking a highly skilled and motivated Data Scientist to join our growing team. In this role, you will be instrumental in developing and implementing advanced data solutions that enhance our operational and financial reporting capabilities. You will work on internal data science projects, build sophisticated data products, and provide data-driven insights to support our sales teams. Additionally, you will play a key role in our nascent generative AI initiatives, exploring and applying cutting-edge techniques to unlock new possibilities.

Primary Responsibilities

  • Design, develop, and deploy complex data products and models to improve operational efficiency and financial reporting accuracy.
  • Collaborate with cross-functional teams, including operations, finance, and sales, to understand business needs and translate them into data science solutions.
  • Perform in-depth data analysis to identify trends, patterns, and insights that can drive business improvements and inform strategic decisions.
  • Develop and maintain robust data pipelines and integrate various data sources to ensure data quality and accessibility.
  • Support sales teams by providing analytical tools, predictive models, and custom reports that enhance sales performance and customer understanding.
  • Participate in the research, experimentation, and implementation of generative AI models and applications, contributing to the company's innovative efforts.
  • Communicate complex analytical findings and recommendations clearly and effectively to technical and non-technical stakeholders.
  • Stay current with the latest advancements in data science, machine learning, and artificial intelligence.

Qualifications

  • Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline. A Ph.D. is excellent.
  • Strong proficiency in Python is extremely important, including experience with libraries such as pandas, scikit-learn, and PyTorch.
  • Solid understanding and experience with data modeling principles.
  • Proficiency in SQL for data extraction and manipulation.
  • Experience with Databricks.
  • Ability to work alongside data engineers including building and maintaining data pipelines.
  • Proven ability to work effectively alongside data analysts and data engineers, fostering a collaborative environment.
  • Must enjoy working with both technical and non-technical coworkers to understand their problems and collaboratively create innovative data solutions.
  • Demonstrates boundless curiosity and creativity in approaching data challenges.

Preferred Experience:

  • Experience with agentic AI concepts or applications.
  • UI prototyping capabilities, particularly with tools like Streamlit.
  • R programming experience.


Sterling Computers Corporation (“Sterling”) is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, disability, medical condition, economic status or status with regard to public assistance, citizenship status, national or social or ethnic origin, past or present membership in the uniformed services, protected veteran status, sex, pregnancy, marital or civil union or domestic partnership status, family or parental status, sexual orientation, gender expression or identity, family medical history or genetic information, HIV status, political belief, or any other status or characteristic protected by applicable law.