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Afternoon Data Analyst R Programming Jobs in Johnstown, OH

Varsity Tutors

Data Science Tutor

Columbus, OH · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Pwc

Data Strategy-Manager

Columbus, OH

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Johnstown, OH

Afternoon Data Analyst R Programming information

See Johnstown, OH salary details

$32.8K

$79.7K

$131.2K

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

As of Aug 18, 2026, the average yearly pay for afternoon data analyst r programming in Johnstown, OH is $79,704.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,300.00 and $93,600.00 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 cities near Johnstown, OH are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Johnstown, OH with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Johnstown, OH as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $79,704 per year, or $38.3 per hour.

Data Analytics Supervisor

Ohio Department of Aging

Columbus, OH • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 6 days ago

Job description

Join Our Team!
Accepting applications for a Data Analytics Supervisor
Who Are We?
The Ohio Department of Developmental Disabilities (DODD) mission is to partner with people and communities to support Ohioans with developmental disabilities and their families in realizing their version of a good life.
Ohio is the heart of opportunity, and we envision Ohio as the best place in the nation for people with developmental disabilities to thrive. Our core values reflect our focus on the experience of each person we support:
  • Inclusion
  • Partnership
  • Respect
What does a Data Analytics Supervisor do?
  • Serves as data analyst supporting Major Unusual Incidents (MUI) and Compliance operations within the Department of Developmental Disabilities (DODD).
  • Develops and maintains Tableau dashboards, reports, automated reporting solutions, and ad hoc analyses related to MUI activities, compliance reviews, provider oversight, county board oversight, and operational performance.
  • Supports reporting and analytics activities using data from multiple DODD systems, including ITMS and RDS, as well as Medicaid claims and other health-related data sources.
  • Analyzes data trends, patterns, and operational issues to support program staff, leadership, county boards, providers, and other stakeholders.
  • Generates, tracks, and automates performance measures, ensuring timely tracking of agency goals, outcomes, and reporting requirements.
  • Validates data accuracy and assists with identifying reporting, data quality, and system concerns.
  • Responds to questions from county boards, providers, internal staff, and other stakeholders.
  • Works independently to identify reporting needs, prioritize assignments, and develop data solutions that support agency operations and decision-making.
  • Utilizes reporting and analytics tools including Tableau, SQL, Python, and other technologies, as appropriate.
  • Develops and maintains documentation, report definitions, business rules, and reporting standards.
  • Participates in office hours and provides guidance and support to report and dashboard users and stakeholders.
  • Participates in agency-wide data committees, reporting workgroups, and data governance and data quality initiatives.
  • Coordinates with program areas and information technology staff to improve reporting processes, data quality, and understanding of DODD systems and business processes.
  • Maintains working knowledge of DODD systems, Medicaid and health-related data, and how data connects and flows across systems.
  • Supports emerging analytics, automation, and agentic AI initiatives that improve reporting, data access, operational efficiency, and user support.
  • Participates in and provides cross-training across reporting and analytics functions to promote knowledge sharing, ensure continuity of operations, provide backup coverage, and reduce reliance on single-person subject matter expertise.
  • Oversees data analytics college intern.
  • Serves as the primary data coordination contact for public records requests (PRR) under Ohio's Public Records Act (R.C. 149.43) involving reports, analytics, and DODD data.
  • Coordinates with program staff, leadership, legal staff, and other stakeholders to identify, review, prepare, validate, and deliver requested data and reporting materials.
  • Performs other related duties as assigned.

At the State of Ohio, we take care of the team that cares for Ohioans. We provide a variety of quality, competitive benefits to eligible full-time and part-time employees*. For a list of all the State of Ohio Benefits, visit our Total Rewards website ! Our benefits package includes:
  • Medical Coverage
  • Free Dental, Vision and Basic Life Insurance premiums after completion of eligibility period
  • Paid time off, including vacation, personal, sick leave and 11 paid holidays per year
  • Childbirth, Adoption, and Foster Care leave
  • Education and Development Opportunities (Employee Development Funds, Public Service Loan Forgiveness, and more)
  • Public Retirement Systems ( such as OPERS, STRS, SERS, and HPRS ) & Optional Deferred Compensation ( Ohio Deferred Compensation )
*Benefits eligibility is dependent on a number of factors. The Agency Contact listed above will be able to provide specific benefits information for this position.
Qualifications
72 months' experience or training in data analytics, statistical analysis, or research methods AND 12 months' experience in supervisory &/or management principles & techniques.
OR
Completion of associate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field AND 54 months' experience or training in data analytics, statistical analysis, or research methods AND 12 months' experience in supervisory &/or management principles & techniques.
OR
Completion of undergraduate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field AND 48 months' experience or training in data analytics, statistical analysis, or research methods AND 12 months' experience in supervisory &/or management principles & techniques.
OR
Completion of graduate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field AND 36 months' experience or training in data analytics, statistical analysis, or research methods; 12 mos. exp. in supervisory &/or management principles & techniques.
OR
Equivalent of Minimum Class Qualifications For Employment noted above.
Job Skill: Data Analytics, Data Visualization, Operational and Administrative Support, Leading Others, Developing Others, Confidentiality, Analyzation
Ohio Department of Aging logo

About Ohio Department of Aging

Sourced by ZipRecruiter

The Ohio Department of Aging, based in Columbus, OH, US, is within the healthcare and service industry, primarily serving older individuals and their care providers throughout the state. As a state government agency, its key role is to ensure the provision of quality services and supports that assist older Ohioans to live healthier, safer and more productive lives. The department functions through the official website, ohio.gov. It was established with a mission to position the State of Ohio on the leading edge of solution-driven innovation for the challenges and opportunities presented by Ohio's rapidly aging population.

Industry

Public administration

Company size

51 - 200 Employees

Headquarters location

Columbus, OH, US

View All Ohio Department of Aging Jobs

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