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Afternoon Data Analyst R Programming Jobs in Columbus, OH

Data Analyst / Engineer Location: Raymond, OH (Hybrid 4 days/week onsite and 1 day/week remote ... Familiarity with Python, R, SQL, Tableau/PowerBI knowledge of statistical analysis techniques.

Gather data and research the results using statistical techniques and advanced analytics tools ... BI), databases and programming (R, Python) * Knowledge of statistics and experience using ...

Gather data and research the results using statistical techniques and advanced analytics tools ... BI), databases and programming (R, Python) * Knowledge of statistics and experience using ...

The role documents data lineage validates data quality, and partners with product, engineering, and ... Execute data extraction and transformation using SQL, Python, or R. * Profile datasets to assess ...

The role documents data lineage validates data quality, and partners with product, engineering, and ... Responsibilities Execute data extraction and transformation using SQL, Python, or R. Profile ...

Overview The Data Analyst partners across Finance, Accounting, Supply Chain, and Operations to ... Familiarity with Python, R, or JavaScript preferred * Interest in or exposure to cost accounting ...

Overview The Data Analyst partners across Finance, Accounting, Supply Chain, and Operations to ... Familiarity with Python, R, or JavaScript preferred * Interest in or exposure to cost accounting ...

Partner with IT, data engineering, and other BI organizations to advance data & analytical capabilities throughout the enterprise * Analyze and validate financial data; identify trends, discrepancies ...

This role will focus on analyzing identity data, delivering actionable insights, and building ... Engineering & Integration Connect to and extract data from various structured data sources (e.g ...

Partner with IT, data engineering, and other BI organizations to advance data & analytical capabilities throughout the enterprise * Analyze and validate financial data; identify trends, discrepancies ...

... R or SAS required. Experience with Oracle or Teradata database desired Prior experience in a data analytics role strongly preferred Knowledge of statistical methods required Education BS in ...

Analyze marketing, customer, and sales data to identify trends, anomalies, opportunities, and areas ... Experience with statistical programming languages such as R or Python. * Experience developing ...

Sr Business Data Analyst

Lockbourne, OH ยท On-site

$70K - $115K/yr

Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with modern data analytics trends and apply best practices to improve processes * Support site startups as ...

Sr Business Data Analyst

Lockbourne, OH ยท On-site

$70K - $115K/yr

Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with modern data analytics trends and apply best practices to improve processes * Support site startups as ...

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Afternoon Data Analyst R Programming information

See Columbus, OH salary details

$32.8K

$79.8K

$131.4K

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

As of Jun 8, 2026, the average yearly pay for afternoon data analyst r programming in Columbus, OH is $79,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $93,700.00 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 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.

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 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 the most commonly searched types of Data Analyst R Programming jobs in Columbus, OH? The most popular types of Data Analyst R Programming jobs in Columbus, OH are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Columbus, OH? For Afternoon Data Analyst R Programming jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Columbus, OH look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Afternoon Data Analyst R Programming jobs? Cities near Columbus, OH with the most Afternoon Data Analyst R Programming job openings:
Data Engineer/Analyst

Data Engineer/Analyst

iSpace, Inc

Raymond, OH โ€ข Hybrid

$57/hr

Other

Posted 9 days ago


Job description

***** IT'S A W2 CONTRACT ROLE, NO C2C/1099 *****

Title: Data Analyst / Engineer

Location: Raymond, OH (Hybrid 4 days/week onsite and 1 day/week remote)

Contract Duration: 14+ months

Rate: $57/hr on W2

What will this person be working on

In this role, person will be responsible for conducting data analysis to support decision-making processes within the organization. The ideal candidate will have a strong analytical mindset, excellent communication skills, and the ability to work collaboratively with cross-functional teams.

TOP SKILLS

Requirements:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Proven 3-5 years of experience in a Data Analyst role.
  • Strong proficiency in AWS services (S3, Redshift, Lambda, etc.).
  • Excellent analytical and problem-solving skills.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Strong SQL skills and familiarity with database management.
  • Ability to lead and manage tasks and activities effectively.
  • Excellent communication and collaboration skills.
  • Ability to work both independently and collaboratively in a team-oriented environment.
  • Preferred Qualifications:
  • Experience with machine learning and AI tools.
  • Familiarity with Python, R, SQL, Tableau/PowerBI knowledge of statistical analysis techniques.
  • Knowledge of data warehousing concepts and ETL processes.