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Entry Level Data Analyst R Programming Jobs in Columbus, OH

centralins

Data Analyst

Dublin, OH · Hybrid

Partner with IT, data engineering, and other BI organizations to advance data & analytical capabilities throughout the enterprise * Analyze and validate financial data; identify trends, discrepancies ...

Collabera

Data Analyst

Hilliard, OH

... R or SAS required. Experience with Oracle or Teradata database desired Prior experience in a data analytics role strongly preferred Knowledge of statistical methods required Education BS in ...

Varsity Tutors

Data Science Tutor

Columbus, 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 ...

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All JobsData Analyst R Programming JobsEntry Level Data Analyst R Programming JobsEntry Level Data Analyst R Programming Jobs in Columbus, OH

Entry Level Data Analyst R Programming information

See Columbus, OH salary details

$12

$31

$59

How much do entry level data analyst r programming jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for entry level data analyst r programming in Columbus, OH is $31.80, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $35.53 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

What is an Entry Level Data Analyst (R Programming)?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst specializing in R Programming, and why are they important?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry-level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.
What are popular job titles related to Entry Level Data Analyst R Programming jobs in Columbus, OH? For Entry Level Data Analyst R Programming jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst R Programming jobs in Columbus, OH look for? The top searched job categories for Entry Level Data Analyst R Programming jobs in Columbus, OH are:
Entry Level Data Analyst R Programming jobs near you
Infographic showing various Entry Level Data Analyst R Programming job openings in Columbus, OH as of July 2026, with employment types broken down into 86% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $66,152 per year, or $31.8 per hour.

Data Analyst

centralins

Dublin, OH • Hybrid

Other

Medical, Retirement

Re-posted 12 days ago

Job description

Location: Van Wert, OH; Dublin, OH
Work Model: Hybrid 
Position type: Full time - salary 

We’re a team of employees passionate about delivering best-in-class customer service and driving innovation in claims management. Integrity, relationships, and excellence are at the heart of everything we do.

Our employees fully utilize their talents and bring their best selves to work. We believe who you are is just as important as what you do!

Join Central Insurance as a Data Analyst where you will play a pivotal role in transforming data into meaningful insights that drive business decisions and regulatory reporting. In this role, you will partner closely across IT, Finance, Actuarial, and Analytics teams to ensure data accuracy, integrity, and reliability while helping the organization meet critical reporting requirements and strategic goals.

This is an opportunity for a curious, detailoriented professional who thrives on problem solving and continuous improvement. You will leverage advanced tools and analytical techniques to identify trends, surface insights, and influence data solutions, all while contributing to a culture that values data quality, collaboration, and innovation. 


Key Responsibilities of the Role

  • Prepare and submit regulatory reports accurately and on time
  • Ensure adherence to & reinforcement of delivery best practices
  • Actively engaged in the design and implementation of repeatable processes
  • Champion data quality, integrity, and reliability throughout the department by designing and promoting best practices
  • Partner with IT, data engineering, and other BI organizations to advance data & analytical capabilities throughout the enterprise
  • Analyze and validate financial data; identify trends, discrepancies, and anomalies
  • Track regulatory updates and adapt reporting processes accordingly
  • Maintain documentation of processes and support internal/external audits
  • Identify improvement opportunities in reporting systems and workflows
  • Assume department responsibility as the Data Steward ensuring the fitness of data elements
  • Collaborate regularly with IT, Analytics, Actuarial, Finance, and other Business units to ensure data is accurate
  • Display critical thinking and evaluation when researching and responding to inquiries and referrals
  • Develop and utilize BI solutions effectively (reports, analytics, data pulls, insights, etc.) 
  • Meet with stakeholders to understand needs and provide insights that help meet profit, growth, and expense goals
  • Guide & influence strategic data solutions


Required Qualifications

  • Bachelor’s degree in Computer Science or related field and 2 years of related experience
  • Or 4 years of related experience

Knowledge, Skills, and Abilities

  • Previous regulatory reporting or insurance experience
  • Working knowledge of Azure DevOps or other code repositories
  • Experience with object-oriented programming languages, such as Python
  • Advanced Alteryx expertise
  • Advanced SQL expertise
  • Data Modeling experience
  • Strong analytical and problem-solving skills
  • Ability to set priorities and plans to meet business goals and objectives
  • Ability to shift & balance strategic, high-level thinking with attention to detail
  • Ability to lead, motivate & influence without having formal authority
  • Ability to act as a thought leader with a focus on innovative & high-quality solutions
  • Ability to work both independently and in a team environment with internal /external customers
  • Ability to understand, design & implement end-to-end BI workflows
  • Strong organizational, planning & problem-solving skills
  • Strong communication & interpersonal skills
  • Ability to understand Central Insurance’s policies and processes


Total Rewards

Central establishes base pay based on several factors including labor market data and an evaluation of candidate qualifications relative to role requirements. Base pay is one component of a comprehensive total rewards package designed to support employees’ financial, health, career, and retirement objectives. Central provides extensive health and wellness benefits to promote flexibility, work-life balance, and long-term financial security. For more information, see Central Insurance Benefits

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