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Afternoon Data Analyst R Programming Jobs in Missouri

Quality Data Analyst

Carthage, MO · On-site

$60 - $80/hr

Leggett & Platt is seeking a Quality Data Analyst to join our product development team at the IDEA ... Engineering team, etc.) * Organizational and time management skills * Must be able to follow verbal ...

(USA) Senior, Data Analyst

Noel, MO · On-site

$80K - $155K/yr

The Senior Data Analyst will leverage advanced data management, analysis, and visualization ... R, Power BI, or Tableau) Masters: Computer Engineering, Masters: Computer Science, Masters:

(USA) Senior, Data Analyst

Cassville, MO · On-site

$80K - $155K/yr

The Senior Data Analyst will leverage advanced data management, analysis, and visualization ... R, Power BI, or Tableau) Masters: Computer Engineering, Masters: Computer Science, Masters:

We are seeking Completions Jr. Data Analysts located in Houston to provide part of the 24/7 ... Four-year college degree (petroleum engineering, geology, geoscience, any engineering preferred)

Senior Data Analyst

California, MO · On-site

$150 - $200/hr

As we continue to scale, we're looking for a Senior Data Analyst to play a critical role in turning ... Advanced SQL skills and proficiency in a programming language (e.g., Python, Java, Scala, or C+

New

Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics ... R, Power BI, or Tableau) Primary Location... 805 Se Moberly Ln., Bentonville, AR 72712, United ...

Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics ... R, Power BI, or Tableau) Primary Location... 805 Se Moberly Ln., Bentonville, AR 72712, United ...

(USA) Principal, Data Analyst

Noel, MO · On-site

$90K - $180K/yr

Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics ... R, Power BI, or Tableau) Primary Location... 805 Se Moberly Ln., Bentonville, AR 72712, United ...

Leggett & Platt is seeking a Quality Data Analyst to join our product development team at the IDEA ... Engineering team, etc.) * Organizational and time management skills * Must be able to follow verbal ...

Use Python, R, SQL, and modeling algorithms for data analysis * Design, develop, and present ... Advanced degree in Statistics, Math, Engineering, Economics or related business analytics ...

New

Data Science Analyst

Saint Louis, MO · On-site

$132K - $159K/yr

As a Data Science Analyst/Engineer join the the Data Engineering Team responsible for integrating new Data Stores and building the Metadata Application Profile (MAP) that aligns attributes from ...

We are looking for someone who has both strong data analysis skills, including window functions and ... Map business metrics to various eCommerce vendors and internal engineering data sources * Update ...

(USA) Senior, Data Analyst

Noel, MO · On-site

$80K - $155K/yr

Data Engineering * Ensure data quality, integrity, and governance for analytics and model ... Scala, R, Power BI, or Tableau) Primary Location... 805 Respect, Bentonville, AR 72716, United ...

(USA) Senior, Data Analyst

Cassville, MO · On-site

$80K - $155K/yr

Data Engineering * Ensure data quality, integrity, and governance for analytics and model ... Scala, R, Power BI, or Tableau) Primary Location... 805 Respect, Bentonville, AR 72716, United ...

Showing results 41-60

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 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 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 most commonly searched types of Data Analyst R Programming jobs in Missouri?

The most popular types of Data Analyst R Programming jobs in Missouri are:

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Missouri?

For Afternoon Data Analyst R Programming jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Missouri look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Missouri are:

What cities in Missouri are hiring for Afternoon Data Analyst R Programming jobs?

Cities in Missouri with the most Afternoon Data Analyst R Programming job openings:

Quality Data Analyst

Brio Energy

Carthage, MO • On-site

$60 - $80/hr

Other

Posted 6 days ago


Key responsibilities

  • Produce data quality reports highlighting critical metrics and high-risk areas.

  • Develop data quality trending reports to identify patterns and escalate issues to management.

  • Collaborate with teams on quality improvement initiatives and support documentation processes.


Job description

Leggett & Platt is seeking a Quality Data Analyst to join our product development team at the IDEA Center in Carthage, MO. This is an excellent opportunity to be part of a close-knit team in a global organization.

This role integrates the technical data quality assurance expertise of a Quality Data Analyst with the administrative and compliance focus of a Document Controller. The position ensures that organizational data is accurate, consistent, and compliant, while also ensuring up-to-date documentation for use within the organization.

Quality Data Analyst Responsibilities
  • Branch to branch and surrounding locations will include approximately 25-50% travel
  • Produce Data Quality Reports highlighting critical metrics and high-risk areas
  • Develop Data Quality Trending Reports to identify patterns and elevate issues to management
  • Use statistical tools, process mapping, and compliance frameworks to support quality improvement
  • Collaborate with Quality Data Systems Manager to continue to advance SPC and other systems related software
  • Collaborating with Manufacturing Services team on Machine Intelligence projects
  • Support Samples, Beta Run, and PPAP initiatives
Document Control Responsibilities
  • Collaborate with Quality Specification team to continue to advance specifications
  • Create and maintain Standard Operating Procedures (i.e. PFMEA, Control Plan, Work Instructions, etc.)
  • Support new product documentation as needed
To be successful in this role, you will need
  • Minimum of High School Diploma or GED
  • Data analysis, statistical tools (capabilities, SPC software, Minitab), Microsoft 365 Office (Excel, Word, PP, etc.)
  • Document management software knowledge
  • Observe all safety procedures and policies
  • Demonstrates attention to detail, accuracy, and thoroughness
  • Maintains a clean and organized work environment
  • Completes work in a timely manner
  • Self‑motivated
  • Demonstrates appropriate attendance and punctuality
  • Strong analytical and problem‑solving skills
  • Ability to work cross‑functionally with various other teams (Product Development team, Branch Operations team, Manufacturing Engineering team, etc.)
  • Organizational and time management skills
  • Must be able to follow verbal and written instructions
  • Must have good communication and organizational skills
Things we consider a plus
  • Associate’s degree in a Business or Science related field
  • Certificates within Quality or Continuous Improvement Disciplines (i.e. Lean, Six Sigma, etc.)
Applicants in the United States

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