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Afternoon Data Analyst R Programming Jobs in Ohio

Data Analyst

Mason, OH · On-site +1

A Data Analyst collects, cleans, and analyzes data to identify trends and patterns that inform ... Programming skills (Python, R), knowledge of cloud computing platforms, domain knowledge in ...

Collaborate with subject matter experts, internal/external stakeholders, software programmers, and ... Significant experience with data analysis software such as Python, R, or Matlab. * Experience ...

Collaborate with subject matter experts, internal/external stakeholders, software programmers, and ... Significant experience with data analysis software such as Python, R, or Matlab. * Experience ...

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.

Data Analyst

Akron, OH

$79K - $139K/yr

This position will analyze complex business needs related to C&DS project data and answer critical ... Proficiency in programming languages such as Python, R, or SQL. FirstEnergy takes a market-based ...

Data Analyst

Akron, OH · On-site

$79K - $139K/yr

This position will analyze complex business needs related to C&DS project data and answer critical ... Proficiency in programming languages such as Python, R, or SQL. FirstEnergy takes a market-based ...

Senior Data Analyst

Dublin, OH · On-site

$81K - $102K/yr

Python or R for exploratory analysis and data prep preferred. * Azure DevOps or Git-based version control for BI asset deployment preferred. * Power BI Premium / Fabric capacity management, workspace ...

Senior Data Analyst

Dublin, OH · On-site

$81K - $102K/yr

Python or R for exploratory analysis and data prep preferred. * Azure DevOps or Git-based version control for BI asset deployment preferred. * Power BI Premium / Fabric capacity management, workspace ...

... Analyst include programming skills in languages such as Python or R, knowledge of machine learning and artificial intelligence techniques, experience with cloud computing platforms, and domain ...

Senior Data Analyst

Mason, OH · On-site

$80K - $102K/yr

Proficiency with sophisticated analytics tools and programming languages (e.g., R, Python, SQL, HiveQL) and visualization platforms (Webfocus, Tableau etc) * Knowledge of Big Data landscape as ...

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 ...

Data Analyst

Beavercreek, OH · On-site

$61K - $141K/yr

The role involves analyzing and reverse-engineering business and technical artifacts to capture, store, and maintain metadata for systems within the portfolio. The Data Analyst may also develop and ...

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 ...

Senior Data Analyst

Akron, OH · On-site

$111K - $157K/yr

This position will analyze complex business needs related to C&DS project data and answer critical ... Proficiency in programming languages such as Python, R, or SQL. FirstEnergy takes a market-based ...

Experience in programming languages such as Python, R, and SQL. * Proficiency with data ... Familiarity with ETL tools and data analysis techniques. * Solid understanding of statistics and ...

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 ...

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 ...

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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, 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 Ohio? The most popular types of Data Analyst R Programming jobs in Ohio are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Ohio? For Afternoon Data Analyst R Programming jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Afternoon Data Analyst R Programming jobs? Cities in Ohio with the most Afternoon Data Analyst R Programming job openings:
Data Analyst

Data Analyst

Procter & Gamble

Mason, OH • On-site, Remote

Contractor

Posted 20 days ago


Procter & Gamble rating

8.3

Company rating: 8.3 out of 10

Based on 161 frontline employees who took The Breakroom Quiz

67th of 527 rated manufacturers


Job description

A Data Analyst collects, cleans, and analyzes data to identify trends and patterns that inform business decision-making. They work with large datasets, employing statistical methods, data visualization techniques, and machine learning tools to uncover actionable insights. Data Analysts play a crucial role in helping businesses make informed decisions about their products, services, and marketing campaigns.
Job duties include collecting and cleaning data from various sources, performing data analysis using statistical methods and software, creating reports and presentations to communicate findings, and developing data-driven solutions to business problems.
Skills and Qualifications
  • Strong analytical and problem-solving skills
  • Proficiency in data analysis tools such as Python, R, SQL, and Excel
  • Knowledge of statistical methods and data modeling
  • Expertise in data cleaning and preprocessing techniques
  • Data visualization proficiency using tools like Tableau or Power BI
  • Strong problem-solving skills for data-related challenges
  • Excellent communication skills to convey complex data insights to non-technical stakeholders

Optional skills that may be helpful for a Data Analyst include programming skills in languages such as Python or R, knowledge of machine learning and artificial intelligence techniques, experience with cloud computing platforms, and domain knowledge in specific industries.
A Data Analyst should have the ability to work independently and as part of a team, exhibit attention to detail, and possess a strong curiosity and passion for data analysis. They play a critical role in uncovering insights that drive effective decision-making and business success.
Job Description: A Database Administrator (DBA) is responsible for the installation, configuration, maintenance, and security of database systems. They ensure databases are available, reliable, and performant. DBAs also work to protect databases from unauthorized access and data breaches.
Skills Needed: - Strong understanding of database concepts and technologies, such as relational databases, SQL, and database management systems - Experience with database administration tools and utilities - Ability to work with large datasets and complex queries - Excellent problem-solving and troubleshooting skills - Ability to work independently and as part of a team - Optional skills: Programming skills (Python, R), knowledge of cloud computing platforms, domain knowledge in relevant industries
P&G's freelancer opportunities are for project-based or other short-term engagements that require specialized skills. Successful candidates for freelancer opportunities will not be considered employees of The Procter & Gamble Company or any of its subsidiaries nor will candidates be eligible for employment benefits. Candidates looking for regular full-time employment opportunities should begin their search here: pgcareers.com.
  • Published on 24 Jun 2026, 12:39 AM

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About Procter & Gamble

Sourced by ZipRecruiter

Procter & Gamble (P&G), based in Cincinnati, OH, US, is a multinational consumer goods corporation. The company operates in the Consumer Discretionary sector and has a presence in various industries including Beauty, Health Care, Grooming, Fabric & Home Care, and Baby, Feminine & Family Care. Since its foundation by William Procter and James Gamble in 1837, P&G has grown to become a leading player in the consumer goods market. The corporation prides itself on its core values of leadership, ownership, integrity, passion for winning, and trust. They aim to improve consumers' lives in small but significant ways, with a mission to provide branded goods and services of superior quality and value.

Industry

Health and personal care stores

Company size

10,000+ Employees

Headquarters location

Cincinnati, OH, US

Year founded

1837