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Afternoon Data Analyst R Programming Jobs in Wickliffe, OH

Further

Data Science Analyst

Cleveland, OH · On-site

Strong command of R and/or Python for data manipulation and statistical analysis. * Deep ... Partner closely with engineers to ensure data accuracy and data pipelines are quality-checked ...

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

$99K - $232K/yr

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

Cleveland Clinic

Research Data Scientist I

Cleveland, OH · On-site

$106K/yr

Utilize programming skills in languages such as SAS, SQL, SPSS, R, Python, MATLAB, or similar tools. * Perform basic data analysis including data validation, investigation, and hypothesis testing ...

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

Afternoon Data Analyst R Programming information

See Wickliffe, OH salary details

$32.4K

$78.7K

$129.4K

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

As of Sep 1, 2026, the average yearly pay for afternoon data analyst r programming in Wickliffe, OH is $78,658.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 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 Wickliffe, OH look for?

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

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

Cities near Wickliffe, 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 Wickliffe, OH as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 21% Part Time, 4% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $78,658 per year, or $37.8 per hour.

Data Science Analyst

Cleveland, OH • On-site

Further
Telecommunications • 201 - 500 employees
Learn more about Furtherexternal

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

WE'RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further. 

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.  If this sounds exciting to you, let's chat!

We are looking for a Data Science Analyst who can not just report on performance, but also interpret data to drive decision-making to ensure our clients turn raw data into measurable business value.

What you bring:

  • 2–5 years of professional experience in data science or advanced marketing analytics. We value a background that combines marketing domain expertise with technical data science rigor.
  • Strong command of R and/or Python for data manipulation and statistical analysis.
  • Deep understanding of statistical theory, including hypothesis testing, regression analysis, and experimental design. Familiarity with causal inference methods is a significant plus.
  • Ability to manage client expectations, present to non-technical audiences, and pivot quickly based on evolving business needs. 
  • Bonus Points: Proficiency in SQL is preferred for querying data across various cloud warehouses (BigQuery, Snowflake, etc.).
  • Bonus Points: Exceptional "data-to-story" skills—the ability to explain the "so what" behind a coefficient or a p-value.
  • Bonus Points: Adobe Analytics 

What you'll be doing:

  • Support discovery work to understand client challenges and develop a structured backlog of evidence-based hypotheses for testing and analysis.
  • Assist in designing and executing reporting, analytics, and optimization briefs.
  • Partner closely with engineers to ensure data accuracy and data pipelines are quality-checked before being leveraged for reporting, analysis or modeling.
  • Perform analysis to uncover actionable insights and develop data-driven recommendations
  • Present findings to internal and client stakeholders in a clear, business-focused way.

What you'll need to accomplish in your first year:

  • Contribute consistently to the experimentation backlog through research, structured hypothesis development, and KPI alignment.
  • Deliver clear, actionable insights from analysis and test results that help clients make confident, data-driven decisions.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

By submitting your application, you consent to our collection, processing and disclosure of the contained personal data in accordance with our data practices. If you are a resident of the U.S. state of California, you can read about our data practices and your related privacy rights here. If you are a resident of the European Economic Area, Switzerland or the United Kingdom, you can read about our data practices and your related privacy rights here.

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