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Entry Level Data Analyst R Programming Jobs in Columbus, OH

CapTech Consulting

Data Analyst

Columbus, OH · On-site

Collaborate with other data workstreams (Data Engineers, Data Architects, Data Scientists, Product ... Languages: SQL, Python, R * Database: Hive, Snowflake, SQL Server, Oracle, Teradata, Aurora ...

centralins

Data Analyst

Van Wert, 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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Entry Level Data Analyst R Programming information

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$12

$31

$59

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

As of Aug 23, 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 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 skills and qualifications are needed to thrive as an entry level data analyst r programming?

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 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 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

CapTech Consulting

Columbus, OH • On-site

Full-time

Medical, Retirement, PTO

Posted 6 days ago

Job description

Company Description
CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
Job Description
CapTech's Data Analysts work within a collaborative, team environment to help define and deliver innovative solutions to our clients. At the intersection of data and strategy, Data Analysts play a key role in capturing requirements, designing business processes and data models, and delivering actionable data to stakeholders. Data Analysts are passionate about interpreting data to help our clients make informed decisions and they are driven by a desire to solve our clients' most complex business problems. Data Analysts work alongside like-minded peers who share their commitment to excellence and with visionary leaders who are invested in their success.
Specific job responsibilities will vary by project role, but may include:
  • Quantify ambiguous business problems by analyzing business processes, data, and systems and gathering data requirements from clients
  • Implement data governance best practices by capturing data definitions, identifying data stewards, and data transformations through source-to-target mappings
  • Develop data collection systems, implement databases and analytics to optimize efficiency
  • Conduct data quality analysis and provide recommendations for effective quality assurance processes that improve data health
  • Interpret data and analyze results using statistical techniques that provide valuable insights and guide decision making across the business
  • Develop reports using modern data visualization tools and best practices to surface valuable insights to end-users
  • Communicate with all levels of stakeholders as appropriate, including executives, data modelers, application developers, business users, and customers to build solutions and interpret results
  • Collaborate with other data workstreams (Data Engineers, Data Architects, Data Scientists, Product Owners) on specific projects

Qualifications
Typical experience for successful candidates includes:
  • Experience working in an Agile development environment, including requirements definition and testing
  • Knowledge of statistics and experience using statistical languages and packages for analyzing large datasets
  • Demonstrable experience in the design of data models, database design development, data profiling, and various data analysis tools
  • Demonstrable experience with ETL/ELT, data ingestion, and data munging/wrangling
  • Experience in communicating concepts to both business and technical audiences
  • Excellent interpersonal, collaboration, communication, and leadership skills

Skills
Successful candidates usually have demonstrable experience with technologies in some of these categories:
  • Languages: SQL, Python, R
  • Database: Hive, Snowflake, SQL Server, Oracle, Teradata, Aurora, DynamoDB, Cosmos, MongoDB, Cassandra
  • Additional Technologies: dbt, Spark, FiveTran, Databricks, PowerBI, Tableau, git

Additional Information
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs.
  • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
  • Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs
  • Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care
  • Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  • Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities.
  • 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
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