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Afternoon Data Analyst R Programming Jobs in Ohio

Lexisnexis Risk Solutions

AI Data Analyst

Dayton, OH

The AI Data Analyst partners with data engineering, AI, and governance teams to assess data readiness, identify gaps and recommend improvements. This role does not own endtoend data pipelines and is ...

RELX

AI Data Analyst

Dayton, OH · On-site

The AI Data Analyst partners with data engineering, AI, and governance teams to assess data readiness, identify gaps and recommend improvements. This role does not own endtoend data pipelines and is ...

The Hartford

Business Data Analyst

Columbus, OH · 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 ...

Core Specialty

Actuarial Data Analyst

Cincinnati, OH · Hybrid

$70K - $75K/yr

- The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is ... agents, prompt engineering. * Ability to convert raw data into usable and visualized ...

DPDHL

Business Data Analyst II

Westerville, OH

$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 ...

Further

Data Science Analyst

Cleveland, OH

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 ...

USM

C++ Developer-----Need GC and USC

Cincinnati, OH · On-site

$47 - $63.25/hr

C++, R programming This resource will be responsible for C++ and R programming to help do segmentation and extension work. They need to be able to work with analytical functions and have some ...

DHL

Business Data Analyst II

Westerville, OH · 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 ...

Citizens

Principal Data Analyst

Columbus, OH

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

New

Citizens Bank

Principal Data Analyst

Columbus, OH · On-site

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

Citizens

Principal Data Analyst

Columbus, OH

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

Citizens

Principal Data Analyst

Columbus, OH · On-site

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

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 the most commonly searched types of Data Analyst R Programming jobs in Ohio? The most popular types of Data Analyst R Programming jobs in Ohio are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Ohio? For Afternoon Data Analyst R Programming jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Ohio look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Ohio are:
What cities in Ohio are hiring for Afternoon Data Analyst R Programming jobs? Cities in Ohio with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Process Improvement Data Analyst II

Process Improvement Data Analyst II

Total Quality Logistics

Cincinnati, OH • On-site

$63K - $78K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 11 days ago

Total Quality Logistics rating

6.0

Company rating: 6.0 out of 10

Based on 115 frontline employees who took The Breakroom Quiz

313th of 355 rated logistics

Job description

General information
Country
USA
State
Ohio
City
Cincinnati
Descriptions & requirements
About the role:
We are seeking a highly skilled Data Analyst focused on Process Improvement to join our team. The ideal candidate will leverage data, automation, and structured problem-solving to identify and deliver measurable operational improvements. This role goes beyond traditional reporting; You will partner on initiatives end-to-end, from discovery and analysis to implementation and impact measurement.
What's in it for you:
  • $63,000 - $78,000 base salary + performance bonuses
  • Unmatched career growth potential with structured paths and mentorship for advancement
  • Comprehensive benefits package
    • Health, dental and vision coverage
    • 401(k) with company match
    • Perks including employee discounts, financial wellness planning and more
    • Up to $5,000/year tuition reimbursement
  • Employee referral bonuses
  • Certified Great Place to Work with 900+ lifetime workplace award wins

What you'll be doing:
  • Data analysis and reporting:
    • Build and maintain scalable datasets and data models using SQL and BI tools
    • Define and track key process performance metrics (KPIs), including baseline and future-state comparisons
    • Translate complex data into clear, actionable insights and recommendations
    • Move beyond descriptive reporting to proactively surface trends, risks, and opportunities
  • Process improvement:
    • Analyze end-to-end workflows to uncover inefficiencies, bottlenecks, and optimization opportunities
    • Quantify business impact (e.g., cycle time reduction, error reduction, capacity gains) and track results over time
  • Problem solving and decision support:
    • Conduct root cause analysis to address issues and prevent recurring inefficiencies
    • Provide actionable insights and recommendations to support data-driven decision making
  • Stakeholder collaboration:
    • Partner with stakeholders to understand business needs, prioritize projects, and align improvements with organizational goals
    • Translate technical findings into clear, business-friendly communication
  • Automation and innovation:
    • Identify opportunities to automate repetitive tasks and improve data workflows
    • Modernize existing tools (e.g., Excel/VBA-based reporting) into scalable, maintainable systems

What you need:
  • 3-5 years of experience in data analysis, process improvement, or a related role
  • Bachelor's degree in data analytics, business analytics, or related field
  • Advanced experience with Power BI (or similar tools) for dashboarding and data modeling
  • Strong SQL skills for data extraction, transformation, and analysis
  • Proven ability to independently scope ambiguous problems and deliver end-to-end solutions
  • Experience identifying and implementing process improvements with measurable impact
  • Strong analytical thinking and structured problem-solving skills
  • Excellent communication skills with the ability to influence non-technical stakeholders
  • Ability to manage multiple priorities in a fast-paced environment
  • Familiarity with other data analysis tools and programming languages (e.g., Python, R) is advantageous
  • Strong interpersonal skills, a proactive mindset, and the ability to work independently and as part of a team

Where you'll be: 4289 Ivy Pointe Blvd Cincinnati, OH 45245
Employment visa sponsorship is unavailable for this position. Applicants requiring employment visa sponsorship now or in the future (e.g., F-1 STEM OPT, H-1B, TN, J1 etc.) will not be considered.
About Us
Total Quality Logistics (TQL) is one of the largest freight brokerage firms in the nation. TQL connects customers with truckload freight that needs to be moved with quality carriers who have the capacity to move it.
As a company that operates 24/7/365, TQL manages work-life balance with sales support teams that assist with accounting, and after hours calls and specific needs. At TQL, the opportunities are endless which means that there is room for career advancement and the ability to write your own paycheck.
What's your worth? Our open and transparent communication from management creates a successful work environment and custom career path for our employees. TQL is an industry-leader in the logistics industry with unlimited potential. Be a part of something big.
Total Quality Logistics is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, genetic information, disability or protected veteran status.
If you are unable to apply online due to a disability, contact recruiting at recruiting@tql.com

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