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Afternoon Data Analyst R Programming Jobs in Columbus, OH

Business Data Analyst

Columbus, OH ยท Hybrid

$80K - $120K/yr

Consultant Bus Data Analysis - GA08BE We're determined to make a difference and are proud to be an ... We use the latest DATA technologies, software engineering practices, Agile delivery framework, and ...

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Business Data Analyst II

Westerville, OH ยท On-site

$55K - $90K/yr

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, Engineering, or another quantitative field Core Skills & Expectations Technical & Analytical Excellence

Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, Engineering, or another quantitative field Core Skills & Expectations Technical & Analytical Excellence

Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, Engineering, or another quantitative field Core Skills & Expectations Technical & Analytical Excellence

Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, Engineering, or another quantitative field Core Skills & Expectations Technical & Analytical Excellence

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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 Jul 14, 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.

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 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 & Performance Measurement Analyst

Data & Performance Measurement Analyst

Dave Thomas Foundation for Adoption

Dublin, OH โ€ข On-site

Other

Re-posted 12 days ago


Job description

Description


The Dave Thomas Foundation for Adoption (DTFA) is a national nonprofit public charity dedicated exclusively to finding permanent homes for the more than 130,000 children waiting in North America's foster care systems. Created by Wendy's founder Dave Thomas who was adopted, the Foundation implements evidence-based, results-driven national service programs, foster care adoption awareness campaigns and innovative grantmaking. The Foundation has an opening for a full-time data analyst.


STATEMENT OF PURPOSE


The data analyst is responsible for identifying and deploying advanced analytics utilizing the Wendy's Wonderful Kids Child Trends database to measure and document the work of the Foundation. This position supports the Foundation's mission by leveraging both quantitative and qualitative data to demonstrate the impact of the Wendy's Wonderful Kids program to internal and external stakeholders, including state and local partners engaged in child welfare initiatives. Through thoughtful analysis and reporting, the data analyst helps inform strategic decision making and supports the Foundation's efforts to strengthen positive outcomes for the children we serve.


ACCOUNTABILITIES

  1. Produce routine data reports and summaries that communicate the Foundation's reach, impact and program progress to internal teams, state and public agencies
  2. Maintain and update performance dashboards and data visualizations for the Foundation, including supporting the preparation of recurring monthly, quarterly and annual Wendy's Wonderful Kids reports
  3. Analyze program demographics, census, utilization, outcomes and other key data; pull, extract and validate data from multiple sources to support routine reporting and ensure strong data hygiene, integrity and appropriate handling of de-identified data
  4. Apply established statistical tools and reporting methods, using SAS or R, to conduct quantitative analyses, identify trends in program outcomes and fidelity metrics and communicate insights through data storytelling, visualization and presentations for diverse stakeholders
  5. Work closely with the Foundation's various teams to extract data from multiple systems to generate routine reports measuring a range of key performance indicators; maintain progress updates through the project management system (Asana)
  6. Assist in the preparation, production and dissemination of publications, presentations and research resources ensuring completion within established timelines
  7. Assume responsibility for professional growth, stay current on industry trends, best practices and emerging technologies in data analytics and data management, as well as developments and research within the child welfare community
  8. Perform other duties as assignedย 

Requirements


KNOWLEDGE & SKILLS


The following qualifications are representative of the knowledge, skills and/or abilities required to serve in this role. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


  • Demonstrated proficiency in data management, data analysis, statistical reporting, data visualization and qualitative research methods with the ability to synthesize complex data into actionable insights
  • Knowledge of data governance principles and experience applying operational excellence practices
  • Demonstrated experience with program evaluation or performance measurement, including the ability to quantify KPIs, assess implementation fidelity and conduct pre- and post-analysis to measure program effectiveness and outcomes
  • Excellent verbal and written communication skills, with the ability to translate and present complex analytical concepts and findings to both technical and non-technical audiences
  • Experience with Microsoft Office Suite, particularly Microsoft Excel and PowerPoint
  • Proactive and solutions-oriented, with the ability to work independently, apply strong critical thinking and analytical problem-solving skills, prioritize tasks effectively and demonstrate strong time management skills; exceptional attention to detail with a customer service focus
  • Ability to collaborate effectively across diverse teams and leadership levels while following established procedures and maintaining accountability
  • Demonstrates the desired values and competencies of the Foundation, with personal qualities of integrity and credibility; values diversity and supports an inclusive culture
  • High degree of self-awareness and interpersonal effectiveness, with the ability to manage sensitive or confidential information with discretion and maintain strict confidentiality
  • Flexible and adaptable, with the ability to manage multiple projects in a fast-paced environment while maintaining high-quality results


EDUCATION AND EXPERIENCE


  • Undergraduate degree required; statistics, data analytics or related degree preferred
  • 4+ years of program management experience with a focus on data analytics
  • Minimum 2 years of professional experience using R required, including scripting for data analysis and reproducible workflows
  • Experience with SAS and Python strongly preferred
  • Experience in child welfare with a focus on evidence-based and data-driven practices preferred
  • Background and/or experience with statistics or finance preferred


WORK ENVIRONMENTย 

  • Limited to no travel required



The Dave Thomas Foundation for Adoption is an equal employment opportunity employer and does not discriminate against any employee or applicant based on race, color, religion, religious beliefs, political affiliation, creed, HIV/AIDS status, ethnicity, sex, age, national origin, ancestry, disability, sexual orientation, gender, gender identity, gender expression, pregnancy, marital status, familial status, veteran/military status, predisposing genetic characteristics, domestic violence victim status, prior arrest or any other category protected by applicable law. Any employee who engages in such conduct is subject to disciplinary action, up to and including discharge.