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Afternoon Data Analyst R Programming Jobs in Akron, OH

Schaeffler

Data & Analytics Specialist

Wooster, OH · On-site

Qualifications : Required : • Bachelor's degree in Industrial Engineering, Logistics, or ... ideally SAP R/3 or S/4HANA, and manufacturing planning/logistics systems • Strong analytical ...

Schaeffler

Data & Analytics Specialist

Wooster, OH · On-site

Bachelor's degree in Industrial Engineering, Logistics, or Technical field of study * 3 to 5 years ... Hands-on experience with ERP systems , ideally SAP R/3 or S/4HANA , and manufacturing planning ...

Schaeffler

Data & Analytics Specialist

Wooster, OH

Bachelor's degree in Industrial Engineering, Logistics, or Technical field of study * 3 to 5 years ... Hands-on experience with ERP systems , ideally SAP R/3 or S/4HANA , and manufacturing planning ...

Pwc

Data Governance- Manager

Cleveland, OH · On-site

$99K - $232K/yr

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

Americhem

Data Engineer Intern

Cuyahoga Falls, OH · On-site

Strong analytical, problem-solving, and organizational skills * Strong verbal and written ... Work with analysts, developers, and business stakeholders to understand data requirements and ...

LayerZero Power Systems Inc

Data Scientist

Aurora, OH · On-site

$90/hr

... data analysis tools (Python, R, or similar). • Experience building dashboards and data ... Work closely with engineers, marketers, and other professionals to bring ideas to life. * Grow with ...

LayerZero Power Systems Inc

Data Scientist

Aurora, OH · On-site

$80K - $90K/yr

Strong proficiency in SQL and data analysis tools (Python, R, or similar). Experience building ... Work closely with engineers, marketers, and other professionals to bring ideas to life. * Grow with ...

WW&R

Data Platform Engineer

Independence, OH · Hybrid

$76K - $99K/yr

The Data Platform Engineer is responsible for designing, maintaining, and optimizing the ... This role ensures that data pipelines, storage systems, and analytics platforms operate efficiently ...

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Afternoon Data Analyst R Programming information

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$32.5K

$79.1K

$130.1K

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 Akron, OH is $79,061.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,800.00 and $92,800.00 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 are popular job titles related to Afternoon Data Analyst R Programming jobs in Akron, OH? For Afternoon Data Analyst R Programming jobs in Akron, OH, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Akron, OH look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Akron, OH are:
What cities near Akron, OH are hiring for Afternoon Data Analyst R Programming jobs? Cities near Akron, OH with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Analyst Programmer 3

Analyst Programmer 3

Case Western Reserve University

Cleveland, OH • On-site

$56K - $71K/yr

Full-time

Medical, Retirement, PTO

Re-posted 13 days ago

Case Western Reserve University rating

8.8

Company rating: 8.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

38th of 553 rated colleges and universities

Job description

Case Western Reserve University is committed to providing a transparent estimate of the salary range available for this position at the time of its posting. The salary range is between $56,395 and $71,340, depending on qualifications, experience, department budgets, and industry data.
Employees receive more than just a paycheck. University employees enjoy a comprehensive benefits package that includes excellent healthcare, retirement plans, tuition assistance, paid time off, and a winter recess.
Job Description
POSITION OBJECTIVE
Working under minimal supervision, the Analyst Programmer 3 will closely collaborate with the principal investigator and co-investigators to formulate and define integrated data systems for funded oral health disparities projects. In this role, the analyst programmer 3 will be an integral part of the research team for multiple research projects. This individual will formulate, design, deploy and maintain highly complex database systems, design data collection instruments, write programs to process the data, conduct statistical analyses, develop presentation methods, and coordinate real time, monthly, quarterly, annual and ad-hoc reports that compile results from multiple data sources within the evaluation system.
ESSENTIAL FUNCTIONS
  1. Analyze and define system scope based on the complex needs of the research project. Build the data management system related to electronic data capture, data cleaning, data analysis, custom report creation and remote data collection. Coordinate and take a lead role in screening and compiling data from multiple data sources. This includes conducting preliminary data screenings (missing data, distribution, etc.) to ensure the quality of the data. (30%)
  2. Design and/or modify applications such as REDCap to make recommendations for system improvements and enhancements specific to each study. Create custom forms leveraging REDCap custom modules and front end programming (HTML, CSS and Javascript). (25%)
  3. Monitor study progress in real time via custom reports and provide feedback and reports to the principal investigator, project manager, study staff and external reports for funding agencies on a monthly, quarterly and annual basis. (15%)
  4. Develop plans to transition data from REDCap to statistical software (SAS, SPSS and/or R) for data cleaning and analysis. Conduct and/or verify the analysis of longitudinal dental data (ICDAS, DMFT) using SAS, SPSS and/or R. (6%)
  5. Work with users, application teams and technical staff to diagnose and resolve problems relating to a variety of research processes for data capture and study management. (6%)

NONESSENTIAL FUNCTIONS
  1. Deploy and maintain cloud based data captures platforms in the field and provide onsite technical support for these platforms. (5%)
  2. Design, code, test, debug, modify and document complex systems requiring thorough knowledge of the REDCap, REDCap custom modules, the REDCap API, Tableau, the Twilio API, the Google Maps API, and NIH RxNorm API. (5%)
  3. Contribute to the writing of publications; develop presentations for funding agencies, and present research to external bodies. (5%)
  4. Perform other duties and responsibilities as assigned. (3%)

CONTACTS
Department: Daily contact with department staff to exchange information.
University: Frequent contact with faculty and department administrators to exchange information.
External: Regular contact with outside faculty, consultants and representatives of the consortium coordinating center to exchange information.
Students: Regular contact managing work study students.
SUPERVISORY RESPONSIBILITIES
This position has no direct supervision of staff employees.
QUALIFICATIONS
Experience and Education: Associate's degree and 5 years progressive experience OR Bachelor's degree and 3 to 5 years of progressive experience. Master's degree preferred.
REQUIRED SKILLS
  1. Accountability/integrity, customer/quality focus, maturity, flexibility/receptivity, interpersonal relations, leadership/supervision, planning/organizing, problem solving, project management, self-development, and teamwork.
  2. Experience with data capture and coding of complex longitudinal clinical dental data, medical history data and medications data.
  3. Demonstrated proficiency in REDCap, REDCap Custom Modules, REDCap API and the REDCap Twilio API integration.
  4. Experience with statistical packages such as SAS, SPSS and/or R and managing the entire analysis process including handover of the final datasets, analysis code and codebooks.
  5. Programming experience in at least one computational language (C/C++, Perl, Python, or Java) for the purpose of real-time data analysis.
  6. Knowledge of network systems/operating systems supporting applications and the ability to troubleshoot these remotely.
  7. Demonstrated proficiency in front-end languages such as HTML, CSS and JavaScript for the purpose of designing custom data capture form and web-based applications for data collection and study management.
  8. Knowledge of relational databases for the purpose of maintaining complex relational databases that have clinical longitudinal data from multilevel trials.
  9. Advanced knowledge of operating systems such as Mac, iOS and Windows and the ability to troubleshoot these remotely.
  10. Advanced knowledge of Microsoft and Google productivity tools such as Excel, Word and PowerPoint, Google Drive, Google Docs, and Google Sheets.
  11. Knowledge of Adobe Creative Cloud for the purpose of creating complex figures for publication and creating high quality print ready study documents.
  12. Demonstrated SHELL script experience.
  13. Willingness to learn and work with artificial intelligence (AI) tools and technologies.
  14. Demonstrated history of successful support, education, and advocacy for all students, aligned with the values, mission, and messaging of the university, while adhering to the staff policy on conflict of commitment and interest.
  15. Ability to meet consistent attendance.
  16. Ability to interact with colleagues, supervisors, and customers face to face.

WORKING CONDITIONS
General office environment. Limited manual dexterity required. Work requires negligible physical exertion. Little or no exposure to hazards. Must have reliable transportation and be willing to travel to housing sites to facilitate set-up and smooth execution of electronic data collection on a regular basis.
EEO Statement
Case Western Reserve University is an equal opportunity employer. All applicants are protected under federal and state laws and university policy from discrimination based on race, color, religion, sex, sexual orientation, gender identity or expression, national or ethnic origin, protected veteran status, disability, age and genetic information.
Reasonable Accommodations
Case Western Reserve University complies with the Americans with Disabilities Act regarding reasonable accommodations for applicants with disabilities. Applicants requiring a reasonable accommodation for any part of the application and hiring process should contact the CWRU Office of Equity at 216-368-3066 to request a reasonable accommodation. Determinations as to granting reasonable accommodations for any applicants will be made on a case-by-case basis.
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