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Afternoon Data Analyst R Programming Jobs in Missouri

Jobgether

Develop and maintain R-based solutions for statistical programming, data analysis, visualization, and scientific workflows supporting life science and healthcare projects. * Build interactive ...

ResolveSoft Inc

Data Analyst

Kansas City, MO · On-site

$65K - $85K/yr

The Data Analyst works closely with the Data Engineer/Data Project Lead, Data Visualization ... GitHub, R, Qualtrics, Tableau or Power BI, ArcGIS * 1+ years of experience supporting federal ...

The Timberline Group

Data Analyst

Saint Louis, MO · On-site +1

We seek the talent of a dynamic Data Analyst who seeks to bring their A game to a collaborative ... Knowledge of Python/R for data manipulation (optional but beneficial). * Experience with Power ...

Jobtailor

Senior Marketing Data Scientist

California, MO · On-site

$120 - $160/hr

Data Analysis * SQL Programming * Python/R Programming * Tableau Proficiency * Direct Mail Campaign Management ATS Optimization Keywords Hard Skills * Data Pipeline Development * Statistical Analysis

New

Stellar IT Group

Data Analyst

Saint Louis, MO · On-site

This is not a Data Engineer role . Candidates must have a strong analytics and data validation background. Key Responsibilities * Perform data validation and quality checks using SQL and Python

Bayer

$71K - $135K/yr

Data Analyst As Bayer Crop Science's Digital Farming arm, we deliver sustainable digital solutions ... Partner with Commercial, Data Engineering and Science teams to provide better insights into product ...

New

Bayer

Data Analyst

Creve Coeur, MO · On-site

Data Analyst As Bayer Crop Science's Digital Farming arm, we deliver sustainable digital solutions ... Partner with Commercial, Data Engineering and Science teams to provide better insights into product ...

New

Bayer Inc.

Data Analyst

Creve Coeur, MO

$7/hr

Data Analyst As Bayer Crop Science's Digital Farming arm, we deliver sustainable digital solutions ... Partner with Commercial, Data Engineering and Science teams to provide better insights into product ...

New

Bayer

Data Analyst

Creve Coeur, MO

$71K - $135K/yr

Data Analyst As Bayer Crop Science's Digital Farming arm, we deliver sustainable digital solutions ... Partner with Commercial, Data Engineering and Science teams to provide better insights into product ...

New

University of Rochester

$77K - $116K/yr

Experience with statistical programming and data visualization using R/Bioconductor and UNIX/Linux ... Strong understanding of statistical analysis and predictive modeling * Ability to work ...

Cliftonlarsonallen

Data Analyst Senior

Saint Louis, MO · On-site +1

$107K - $155K/yr

CLA is looking to hire a Data Analyst Senior; you will make use of the Microsoft Power Platform, or a scripting language like R or Python. The Data Analyst Senior cleans up data for analysis and/or ...

Schuber Mitchell Homes LLC

Data Analyst

Joplin, MO · On-site

Position Summary The Data Analyst collaborates with business users to create report specifications ... Curiosity to learn and explore new technologies or programming languages to enhance skills and ...

Stifel

Data Analyst

Saint Louis, MO · On-site

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... Understands client/server computing architecture, user interfaces and application programing ...

Jobgether

$66K - $83K/yr

You will work closely with Product, Game Operations, Marketing, CRM, Engineering, and other cross ... Experience using Python or R for data analysis, statistical modeling, or automation. * Hands-on ...

Jobgether

Our partner is looking for a Data Analyst based in Netherlands. This is a senior analytics ... Analyze developer and user acquisition funnels, retention, engagement, and ecosystem growth metrics.

Gainwell Technologies

Principal, Data Analyst

Louisiana, MO · On-site

$109 - $155/hr

The position serves as both a technical lead and subject matter expert , guiding other data analysts while working closely with developers, business stakeholders, clients, and vendors. Your role in ...

New

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Missouri

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:

Afternoon Data Analyst R Programming jobs near you

R Developer with Bio Background

Jobgether

On-site, Remote

Full-time

Posted 12 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a R Developer with Bio Background based in Netherlands.

Join a mission-driven engineering team where your expertise in R, data science, and life sciences will contribute to impactful solutions across drug discovery and clinical research. In this role, you will design and develop data-driven applications that help scientists and researchers make better decisions using complex biological and clinical data. You will combine software engineering skills with domain knowledge in bioinformatics, clinical workflows, and regulated environments. Working alongside experienced engineers, data scientists, and life science specialists, you will build scalable solutions with real-world scientific impact. This fully remote opportunity offers strong ownership, technical challenges, and the chance to grow within a collaborative, innovation-focused environment.

Accountabilities
  • Develop and maintain R-based solutions for statistical programming, data analysis, visualization, and scientific workflows supporting life science and healthcare projects.
  • Build interactive applications and data tools using R/Shiny to help researchers and clinical teams explore, interpret, and act on complex datasets.
  • Design, implement, and maintain reproducible data processing pipelines while following software engineering and quality standards.
  • Work with clinical, scientific, and technical stakeholders to gather requirements, manage priorities, and translate business needs into effective technical solutions.
  • Apply knowledge of clinical trial processes, bioinformatics workflows, and regulated environments to deliver reliable and compliant data solutions.
  • Support the development and maintenance of reusable R packages, tools, and frameworks that improve scalability and efficiency.
  • Collaborate with multidisciplinary teams to solve complex data challenges across areas such as drug development, clinical research, and biological analysis.
Requirements
  • Strong proficiency in R programming for statistical analysis, data manipulation, visualization, and application development.
  • Experience working with life sciences, bioinformatics, biostatistics, or related scientific domains.
  • Knowledge of CDISC standards including SDTM, ADaM, and SEND, along with familiarity with industry best practices.
  • Experience with TLF programming (Tables, Listings, and Figures) and understanding of clinical data reporting processes.
  • Knowledge of validation principles and working practices within GxP-regulated environments.
  • Experience with Medical Data Review, Pharmacovigilance, and clinical trial workflows.
  • Familiarity with Git or other version control systems and modern software development practices.
  • Experience gathering requirements, managing backlogs, and collaborating with cross-functional teams.
  • Master's degree in bioinformatics, computer science, data science, biostatistics, mathematics, or equivalent professional experience.
  • Additional experience with R/Shiny applications, Nextflow pipelines, bioinformatics tools and databases, molecular biology concepts, Bioconductor, BLAST, NCBI, EMBL, PDB, PubMed, or R package development is considered an advantage.
  • Ability to work effectively in a remote international environment and communicate clearly in English.
Benefits
  • Fully remote work opportunity across Europe, Poland, or LATAM with flexible working hours.
  • Meaningful projects supporting drug discovery, clinical trials, and scientific decision-making.
  • High level of technical ownership with opportunities to design and evolve impactful data applications.
  • Collaboration with experienced engineers, data scientists, bioinformaticians, and life science professionals.
  • Competitive B2B compensation aligned with experience and career level.
  • Professional development support through learning opportunities, conferences, workshops, and continuous growth initiatives.
  • Remote-first culture built on trust, autonomy, collaboration, and thoughtful problem-solving.
  • Opportunity to contribute to open-source projects and grow as an R and R/Shiny specialist.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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