ZipRecruiter

Log In

1

Afternoon Data Analyst R Programming Jobs in Johnstown, OH

EASE Logistics

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 ...

EASE Logistics

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 ...

centralins

Data Analyst

Dublin, OH · Hybrid

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 ...

DPDHL

Sr Business Data Analyst

Westerville, OH · On-site +1

$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 ...

DHL

Sr Business Data Analyst

Westerville, OH · 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 ...

Rogue Fitness

Pricing Data Analyst

Columbus, OH · On-site

The Pricing Data Analyst owns how Rogue prices its products. Partnering across Finance, Sales ... The role blends pricing and cost expertise with hands-on data work in R/SQL,Google Sheets, and ...

Rogue Fitness

Pricing Data Analyst

Columbus, OH

The Pricing Data Analyst owns how Rogue prices its products. Partnering across Finance, Sales ... The role blends pricing and cost expertise with hands-on data work in R/SQL,Google Sheets, and ...

next page

Showing results 1-20

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 17, 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.

Senior Data Analyst

EASE Logistics

Dublin, OH • On-site

$81K - $102K/yr

Full-time

Re-posted 9 days ago

Job description

ESSENTIAL DUTIES

Reporting & Dashboard Development

  • Design, build, and maintain Power BI dashboards and reports for operations, finance, sales, and executive stakeholders.
  • Develop and manage semantic data models in Power BI using DAX, including measures, calculated columns, and row-level security (RLS).
  • Analyze and tune underperforming reports and queries to improve load times and reliability.
  • Establish and document self-service BI standards and a shared metrics catalog.

Data & SQL

  • Write complex T-SQL queries, CTEs, window functions, multi-table joins against Azure SQL and Microsoft Fabric.
  • Collaborate with data engineers to define data requirements, validate pipeline outputs, and ensure data quality upstream of reporting.
  • Identify data anomalies and inconsistencies; work upstream to resolve at the source rather than patching in reports.

Stakeholder Collaboration

  • Partner with department leaders across operations, finance, and customer experience to translate business questions into measurable data products.
  • Lead requirements-gathering sessions and translate ambiguous requests into defined scopes with clear deliverables and timelines.
  • Communicate findings clearly to non-technical audiences — written, visual, and verbal.
  • Contribute to special projects, operational improvement initiatives, and data-driven strategy efforts.

Team & Process

  • Recommend and implement process improvements within the analytics function.
  • Uphold data governance, security, and confidentiality standards across all reporting environments.
  • Participate in sprint planning and contribute to team workflows using Azure DevOps or equivalent tooling.

Qualifications

Education

  • Bachelor’s degree preferred in a quantitative field (Computer Science, Statistics, Mathematics, Information Systems).
  • Equivalent professional experience (4+ years) accepted in lieu of degree.
  • Transportation or logistics industry background is a strong plus.

Experience

  • Required- 4+ years of hands-on experience in a BI, data analytics, or reporting analyst role.
  • Required- Expert-level Power BI — semantic modeling, DAX (measures vs. calculated columns), RLS, gateways, and deployment pipelines.
  • Required- Strong T-SQL — complex queries, CTEs, window functions, query optimization; experience with Azure SQL Database.
  • Required - Proven ability to work with messy, multi-source operational data — not just clean, pre-modeled datasets.
  • Preferred - Experience with Microsoft Fabric, Azure Synapse Analytics, OneLake architecture and Fabric lakehouses or warehouses or comparable cloud data platform.
  • Preferred - Direct experience with McLeod TMS data preferred (orders, loads, lanes, drivers, invoicing).
  • Preferred - Experience in logistics, transportation, supply chain, or a similarly operations-heavy industry.

Knowledge, Skills, & Abilities

  • Ability to communicate complex data findings to non-technical stakeholders clearly and confidently.
  • Ability to adapt and work in a fast-paced, operations-heavy environment.
  • Strong problem-solving skills; comfortable working with ambiguous or incomplete requirements.
  • Experience with ADF or analytics engineering practices for building and testing data models preferred.
  • 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 governance, and admin experience preferred.

Apply