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Afternoon Data Analyst R Programming Jobs in Columbus, OH

Safelite Group

Field Optimization Analyst

Columbus, OH · Remote

... programming tools (Python, R) is a plus. * Understanding of field capacity management, labor ... Excellent communication and data storytelling skills; able to distill complex analyses for diverse ...

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 ...

SUNRAY INFORMATICS

Data Scientist

Columbus, OH · On-site

... Engineering, or a STEM degree, or, in lieu of a Master's degree, a Bachelor's degree with a minimum of 3 years work experience in analytics or data science * Experience with R, RStudio, Python, SAS ...

Columbus Crew

Manager, Data Analysis

Columbus, OH

The Manager, Data Analysis will serve as a trusted analytics partner to business stakeholders ... Experience with programming or scripting languages such as Python or R * Experience mentoring or ...

Columbus Crew

Manager, Data Analysis

Columbus, OH · On-site

The Manager, Data Analysis will serve as a trusted analytics partner to business stakeholders ... Experience with programming or scripting languages such as Python or R * Experience mentoring or ...

AEG

Manager, Data Analysis

Columbus, OH · On-site

The Manager, Data Analysis will serve as a trusted analytics partner to business stakeholders ... programming or scripting languages such as Python or R • Experience mentoring or supporting the ...

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$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:
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Afternoon Data Analyst R Programming jobs near you

Data Analyst - Power Apps, Microsoft Dataverse, and Power BI

1 point system

Columbus, OH • On-site

Contractor

Posted 2 days ago

Job description

Job Description:

  • Experience with Microsoft Power Apps, Microsoft Dataverse, and Power BI

Job Summary:

  • The Identity and Access Management (IAM) Operations team is seeking a Data Analyst to join the ISAT Data & Automation team.
  • This role will focus on analyzing identity data, delivering actionable insights, and building scalable automation and reporting solutions using low-code/no-code platforms.
  • The ideal candidate is highly analytical, technically curious, and experienced in working with large datasets, developing dashboards, and automating workflows.
  • This candidate will operate within an agile model, working a Jira-driven backlog to prioritize and deliver data, reporting, and automation capabilities that enhance IAM operational efficiency and risk visibility.

Key Responsibilities:
Data Analysis and Insights

  • Analyze large, complex identity and access datasets to identify trends, anomalies, and risk indicators
  • Transform raw data into meaningful insights to support IAM operational decision-making
  • Perform data validation, cleansing, and reconciliation across multiple systems and sources

Dashboarding and Reporting

  • Design and develop interactive dashboards and reports using Power BI
  • Create user-friendly visualizations to communicate key IAM metrics, KPIs, and compliance data
  • Maintain and enhance existing reporting solutions to improve accuracy and usability

Automation and Low-Code Solutions

  • Build workflow automations using Power Automate and Power Apps
  • Develop low-code applications to streamline IAM operational processes
  • Identify opportunities to reduce manual effort and improve operational efficiency through automation

Data Engineering and Integration

  • Connect to and extract data from various structured data sources (e.g., databases, APIs, enterprise systems)
  • Utilize tools such as Alteryx to prepare, blend, and transform datasets
  • Support development of scalable data pipelines and reusable data assets

Agile Delivery Execution

  • Work from a Jira backlog, managing assigned stories and tasks in an agile framework
  • Collaborate with team members and stakeholders to refine requirements and deliver incremental value
  • Provide regular updates on progress, risks, and dependencies

Stakeholder Collaboration

  • Partner with IAM operations, engineering, and risk teams to understand data needs
  • Translate business requirements into technical data and automation solutions
  • Deliver clear, concise communication of findings and solutions

Must Haves:

  • Experience with large data sets
  • Power Apps- Power Bi, Power Automate
  • Good Communication (written & verbal)
  • Experience writing business cases
  • Large Financial Services Exp or Regulated Industry
  • Experience with Data Analytics and Manipulation

Nice to have:

  • Jira
  • SQL
  • IAM