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Afternoon Data Analyst R Programming Jobs in Mentor, OH

Deloitte

Data Analyst

Cleveland, OH · On-site

As an experienced Data Analyst , you will have the ability to share new ideas and collaborate on ... AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ...

Deloitte

Data Analyst

Cleveland, OH · On-site

As an experienced Data Analyst , you will have the ability to share new ideas and collaborate on ... AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ...

Keybank

Quantitative Credit Data Analyst

Cleveland, OH · On-site

Experience utilizing SQL and/or analytical programming languages (Python, SAS, R, or equivalent) to query, analyze, and transform data. * Experience developing data visualizations, dashboards, and ...

KeyBank

Quantitative Credit Data Analyst

Cleveland, OH · On-site

Experience utilizing SQL and/or analytical programming languages (Python, SAS, R, or equivalent) to query, analyze, and transform data. * Experience developing data visualizations, dashboards, and ...

Varsity Tutors

Data Science Tutor

Cleveland, 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

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 ...

Nexus Engineering Group

Project Analyst

Cleveland, OH · On-site

$68K - $83K/yr

Use tools such as Excel, Power BI, Power Query, R, Python, VBA, automation, or AI, as appropriate ... Bachelor's degree in data analytics, science, engineering, or a related field. * 0-2 years of ...

Nexus Engineering Group

Project Analyst

Cleveland, OH · On-site

$68K - $83K/yr

Use tools such as Excel, Power BI, Power Query, R, Python, VBA, automation, or AI, as appropriate ... Bachelor's degree in data analytics, science, engineering, or a related field. * 0-2 years of ...

Nexus Engineering Group

Project Analyst

Cleveland, OH · On-site

$68K - $83K/yr

Use tools such as Excel, Power BI, Power Query, R, Python, VBA, automation, or AI, as appropriate ... Bachelor's degree in data analytics, science, engineering, or a related field. * 0-2 years of ...

Park Place Technologies

Data Engineer

Highland Heights, OH · On-site

$111K - $133K/yr

Data Engineer The Data Engineer is responsible for collecting, managing, and converting raw data ... Develop machine learning and regression analysis skills in spark-python-pandas, openai and Azure ML.

New

Park Place Technologies

Data Engineer

Highland Heights, OH · On-site

$111K - $133K/yr

Data Engineer The Data Engineer is responsible for collecting, managing, and converting raw data ... Develop machine learning and regression analysis skills in spark-python-pandas, openai and Azure ML.

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

Afternoon Data Analyst R Programming information

See Mentor, OH salary details

$30.4K

$73.9K

$121.6K

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

As of Sep 7, 2026, the average yearly pay for afternoon data analyst r programming in Mentor, OH is $73,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,900.00 and $86,700.00 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 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Mentor, OH look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Mentor, OH are:

What cities near Mentor, OH are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Mentor, 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 Mentor, OH as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $73,891 per year, or $35.5 per hour.

Manager, Research and Development

Jobtailor

Beachwood, OH • On-site

$100 - $125/hr

Other

Posted 2 days ago

New

Job description

  • Develop statistical methods and procedures to ensure data validity, applicability, efficiency, and accuracy
  • Design and develop data sampling techniques and statistical methods to solve business and technical problems
  • Address business user needs and answer business and research questions
  • Determine whether statistical methods are appropriate based on user needs or research questions
  • Develop and manage software applications or programming for statistical modeling and graphic analysis
  • Manage analysts updating predictive models, reports, and data pulls
  • Consult on creation of new models, reports, and data pulls
  • Draw insights and make recommendations based on assigned analyses and team projects
  • Serve as a subject matter expert in multiple areas
  • Advance modeling techniques and available hardware/software big data solutions
  • Respond to ad-hoc requests
  • Prepare department business plans, staffing projections, and budgets
  • Requisition supplies and materials and review budgets for cost reduction
  • Interview and/or approve job applicants
  • Conduct and/or review performance appraisals
  • Initiate or approve salary adjustments, performance ratings, and personnel changes
  • Counsel associates and take disciplinary action or terminate employment as appropriate
  • Supervise and instruct workers on data collection, processing, tabulation, and statistical data interpretation
  • Manage large amounts of data processing for statistical modeling and graphic analysis using computers
Requirements
  • Bachelor’s degree in Statistics, Mathematics, Data Science, Economics, Computer Science, Engineering, Operation Research, or a related quantitative and analytics field, plus seven (7) years of experience in the job offered or related occupation
  • Master’s degree in Statistics, Mathematics, Data Science, Economics, Computer Science, Engineering, Operation Research, or a related quantitative and analytics field, plus five (5) years of experience in the job offered or related occupation
  • Experience with SAS SQL
  • Experience with cloud databases
  • Experience with R programming language
  • Experience with Excel VLOOKUP, pivot tables, charts, and graphing
  • Experience analyzing data using statistical, mathematical, or data mining methods
  • Experience with insurance rating products and principles
  • Experience with Claims, Underwriting, Marketing, or Agent functions
  • Experience with process control and project management
  • May require pre-hire technical screen
  • Must be able to report to the local office
Core Competencies

Demonstrates expertise in statistical methods, data analysis, and predictive modeling, with a strong foundation in programming languages such as R and SQL. Capable of managing teams, overseeing data processing, and providing insights to drive business decisions.

Highest-signal resume keywords
  • Statistical Modeling
  • R Programming Language
  • SAS SQL
  • Data Analysis
  • Cloud Databases
Hard Skills
  • Statistical Methods
  • Data Sampling Techniques
  • Predictive Modeling
  • Data Mining Methods
  • Excel VLOOKUP
  • Pivot Tables
  • Graphing
  • Data Processing
  • Business Analysis
  • Project Management
Soft Skills
  • Team Leadership
  • Communication
  • Problem Solving
  • Counseling
  • Performance Management
Industry Keywords
  • Insurance Rating Products
  • Claims
  • Underwriting
  • Marketing
  • Agent Functions
Tools & Technologies
  • Cloud Databases
  • Statistical Software
  • Data Visualization Tools
  • Business Intelligence Tools
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