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Afternoon Data Analyst R Programming Jobs in Berkeley, MO

PB consulting

Data Scientist

Mitchell, IL · On-site

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

PB consulting

Data Scientist

Riverview, MO · On-site

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

PB consulting

Data Scientist

Overland, MO · On-site

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

PB consulting

Data Scientist

Saint Louis, MO · On-site

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

PB consulting

Data Scientist

Bridgeton, MO

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

PB consulting

Data Scientist

Brooklyn, IL · On-site

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

PB consulting

Data Scientist

Granite City, IL · On-site

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

PB consulting

Data Scientist

East Saint Louis, IL

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

PB consulting

Data Scientist

East Carondelet, IL · On-site

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

PB consulting

Data Scientist

Caseyville, IL

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

PB consulting

Data Scientist

Brentwood, MO · On-site

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

PB consulting

Data Scientist

Maryville, IL · On-site

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

PB consulting

Data Scientist

Glen Carbon, IL · On-site

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

PB consulting

Data Scientist

Woodson Terrace, MO · On-site

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

PB consulting

Data Scientist

Millstadt, IL · On-site

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

PB consulting

Data Scientist

Glendale, MO · On-site

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

PB consulting

Data Scientist

Black Jack, MO · On-site

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

PB consulting

Data Scientist

Dupo, IL · On-site

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

PB consulting

Data Scientist

East Saint Louis, IL · On-site

Experience with Python, R, or similar programming languages for data analysis and modeling. * Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Berkeley, MO

Afternoon Data Analyst R Programming information

See Berkeley, MO salary details

$31.9K

$77.6K

$127.6K

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

As of Sep 3, 2026, the average yearly pay for afternoon data analyst r programming in Berkeley, MO is $77,566.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $91,000.00 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 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Berkeley, MO look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Berkeley, MO are:

What cities near Berkeley, MO are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Berkeley, MO with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you

Data Scientist

PB consulting

Mitchell, IL • On-site

Full-time

Posted 14 days ago

Job description

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling, machine learning, and artificial intelligence. The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business teams to solve complex problems and deliver measurable business value.

Primary Responsibilities

  • Analyze large and complex structured and unstructured datasets from multiple internal and external sources to identify trends, patterns, correlations, and actionable insights.

  • Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems.

  • Apply advanced statistical, mathematical, and analytical techniques to model data and support data-driven decision-making.

  • Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning.

  • Integrate data from multiple sources and develop processes to consolidate, transform, and prepare data for analysis.

  • Design and define data structures and storage approaches for unstructured and diverse datasets, including how data is consumed, integrated, and managed.

  • Develop analytical models and algorithms to understand relationships and correlations across disparate datasets.

  • Identify data quality issues and provide guidance on data transformation, cleansing, and preparation for analytical use.

  • Generate reports, dashboards, datasets, and other analytical resources to communicate insights to business and technical stakeholders.

  • Translate complex business requirements and technical designs into data science and AI solutions aligned with organizational goals.

  • Collaborate closely with Data Analysts, Data Engineers, Business Stakeholders, and other technical teams to understand requirements and deliver effective solutions.

  • Review data pipelines and provide recommendations for data quality, performance, scalability, and optimization.

  • Develop reusable analytical processes, reporting solutions, and data products to support ongoing business needs.

  • Communicate analytical findings and recommendations clearly to both technical and non-technical stakeholders.

  • Provide guidance and coaching on data preparation, analytical techniques, and best practices when needed.

Required Qualifications & Experience

  • 5+ years of experience in Data Science, Advanced Analytics, Machine Learning, or a related field.

  • Strong experience working with large, complex, structured, and unstructured datasets.

  • Strong knowledge of statistics, mathematics, data analysis, and predictive modeling.

  • Hands-on experience with machine learning and AI techniques.

  • Strong proficiency in SQL and experience working with databases or data warehouses.

  • Experience with Python, R, or similar programming languages for data analysis and modeling.

  • Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

  • Experience integrating and analyzing data from multiple sources.

  • Strong understanding of data pipelines, data structures, and data engineering concepts.

  • Experience developing analytical models and translating business requirements into technical data science solutions.

  • Strong problem-solving and analytical skills, with the ability to investigate complex data relationships and identify meaningful insights.

  • Excellent communication skills with the ability to present complex analytical findings to both technical and non-technical audiences.

  • Experience collaborating with cross-functional teams, including Data Engineering, Data Analytics, Product, and Business teams.

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