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Afternoon Data Analyst R Programming Jobs in Valley View, 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 ...

CapTech Consulting

Data Analyst

Columbus, OH

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

EASE Logistics

Senior Data Analyst

Dublin, OH

$81K - $102K/yr

Python or R for exploratory analysis and data prep preferred. * Azure DevOps or Git-based version control for BI asset deployment preferred. * Power BI Premium / Fabric capacity management, workspace ...

EASE Logistics

Senior Data Analyst

Dublin, OH · On-site

$81K - $102K/yr

Python or R for exploratory analysis and data prep preferred. * Azure DevOps or Git-based version control for BI asset deployment preferred. * Power BI Premium / Fabric capacity management, workspace ...

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 ...

DHL

Sr Business Data Analyst

Westerville, OH · On-site

$70K - $115K/yr

Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with modern data analytics trends and apply best practices to improve processes * Support site startups as ...

DPDHL

Sr Business Data Analyst

Westerville, OH

$70K - $115K/yr

Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with modern data analytics trends and apply best practices to improve processes * Support site startups as ...

Rogue Fitness

Pricing Data Analyst

Columbus, OH · On-site

The Pricing Data Analyst owns how Rogue prices its products. Partnering across Finance, Sales ... The role blends pricing and cost expertise with hands-on data work in R/SQL,Google Sheets, and ...

Rogue Fitness

Pricing Data Analyst

Columbus, OH

The Pricing Data Analyst owns how Rogue prices its products. Partnering across Finance, Sales ... The role blends pricing and cost expertise with hands-on data work in R/SQL,Google Sheets, and ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Valley View, OH

Afternoon Data Analyst R Programming information

See Valley View, OH salary details

$33K

$80.3K

$132.2K

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

As of Aug 25, 2026, the average yearly pay for afternoon data analyst r programming in Valley View, OH is $80,301.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,700.00 and $94,300.00 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 cities near Valley View, OH are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Valley View, 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 Valley View, OH as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $80,301 per year, or $38.6 per hour.

Data Analyst

CapTech Consulting

Columbus, OH • On-site

Full-time

Medical, Retirement, PTO

Posted 7 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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