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Afternoon Data Analyst R Programming Jobs in Mebane, NC

1 point system

Business Data Analyst

Greensboro, NC · On-site

Python * Additional programming in Java, R Education: Degree or equivalent exp. Responsibilities: * Partner with product owners, product managers, data engineers, and business stakeholders to ...

The Wilson Group KW23

Data Analyst

Raleigh, NC · On-site +1

Knowing R or Python would be really helpful. Your meticulous approach results in accurate, well ... data analysis and fresh insight discovery. Essential is the capacity to succinctly and simply ...

NC SECU

Financial Data Analyst II

Raleigh, NC · On-site

Programming for Data Analytics (e.g., Python or R) * Business Statistics * Database Management (e.g. SQL) * Financial Modeling Skills * Knowledge of Excel, Tableau, Microsoft Power BI and various ...

CYNET SYSTEMS

Data Analyst

Greensboro, NC · On-site

$43 - $48/hr

Collaborate closely with other Data Analysts, Data Engineers, Data Architects, and Data Scientists during the implementation and deployment of the advanced analytics solution. Benefits Our Benefits ...

VAST Data

Data Analyst, Customer Success

Raleigh, NC · On-site +1

Programming Languages: Proficient in SQL for data extraction and manipulation * Visualization Tools ... Strong analytical, problem-solving, and critical thinking skills. Proficient in BI tools like ...

CYNET SYSTEMS

Business Data Analyst

Cary, NC · On-site

$60 - $65/hr

Basic knowledge of writing syntaxes and a solid background in programming languages. * Strong ... Data Mapping. * UML. * Data Flow Modeling. * Workflow Analysis. * Functional Decomposition.

S3

Data Analyst II

Raleigh, NC · On-site

Data Analyst II Location: Charlotte, NC OR Raleigh, NC (Hybrid) Duration: 2+ Year Contract Overview ... Experience with Python programming language * Document warehouses to support cross training of co ...

Redhat

Principal Data Analyst

Raleigh, NC · On-site +1

$125K - $180K/yr

... engineers to implement data solutions and pipelines integrating data between platforms. #LI-DNI The salary range for this position is $125,653 - $180,000/year. Actual offer will be based on your ...

Varsity Tutors

Data Science Tutor

Greensboro, NC · 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 ...

Varsity Tutors

Data Science Tutor

Durham, NC · 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 ...

Varsity Tutors

Data Science Tutor

Chapel Hill, NC · 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 ...

Varsity Tutors

Data Science Tutor

Raleigh, NC · 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 ...

Soteria Reinsurance Ltd.

Senior IT Data Analyst

Durham, NC · On-site

$90 - $120/hr

Candidates should have a bachelor's degree with at least five years of experience in data analysis or data engineering, or a master's degree with a minimum of three years of relevant experience. The ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Mebane, NC

Afternoon Data Analyst R Programming information

See Mebane, NC salary details

$29.4K

$71.4K

$117.6K

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

As of Aug 26, 2026, the average yearly pay for afternoon data analyst r programming in Mebane, NC is $71,431.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,000.00 and $83,800.00 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 Mebane, NC look for?

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

What cities near Mebane, NC are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Mebane, NC with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you

Business Data Analyst

1 point system

Greensboro, NC • On-site

Contractor

Re-posted 2 days ago

Job description

Onsite Interview

Description:

  • Project Details/Why is this req open?
  • In charge of all of data for North America. Ensuring no bugs, and business gets their data. Slowly entering AI space, and in middle of data migration from on prem and into the cloud. Will be part of that journey. Ideally someone that is eager to learn new technologies and grow with them.
    • Ideally a Data Analyst who is comfortable working with the business. Willing to settle for a strong BA with good SQL skills. 
    • With SQL - Knowing what’s in tables, SQL Server, Databricks, what is talking to what, etc.
    • Business uses Power BI but not critical, would be a plus to show data manipulation experience
    • Embed with business as they work with regularly
    • Task Example: New group that needs to be added into database tables. These tables talk here and there, which tables are missing in group, filter to understand which groups need to be added, then adjust accordingly
    • 10 week cycle with sprints inside depending on projects being supported (hybrid between Agile and Waterfall)
    • DevOps to document user stories (JIRA, Confluence, etc.)
  • Top Must-Haves:
    •  5+ years of Data Analysis exp. scripting with SQL and understanding relational databases
    •  BA skills, requirements gathering, working with business to translate function requests
    •  Strong soft skills-Ability to talk to the business
    •  Understanding of Agile and Waterfall methodologies
  • Pluses:
    • Databricks
    • Power BI
    • Python
    • Additional programming in Java, R

Education: Degree or equivalent exp.

Responsibilities:

  • Partner with product owners, product managers, data engineers, and business stakeholders to understand data requirements and business objectives.
  • Collect, clean, validate, and transform data from multiple sources to support analytics and reporting needs.
  • Analyze large and complex datasets to identify trends, patterns, and actionable insights.
  • Design, develop, and support data solutions, including data flows, ETL processes, and ingestion pipelines.
  • Develop and maintain dashboards, reports, and visualizations using tools such as Power BI, Tableau, and Excel.
  • Translate business questions into technical data solutions that support decision-making.
  • Support ad hoc data requests and ongoing reporting needs.
  • Assist with data modeling, data mapping, and data management best practices.
  • Troubleshoot data quality and performance issues in development and production environments.
  • Document data solutions, technical designs, and best practices.
  • Present insights and technical concepts clearly to both technical and non-technical stakeholders.
  • Stay current with emerging data technologies, tools, and industry trends.

Experience:

  • 5+ years of experience in a Data Analyst, Business Analyst (data-focused), Data Engineering, or similar role.
  • Strong proficiency in SQL and Excel.
  • Hands-on experience with data visualization and reporting tools such as Power BI or Tableau.
  • Solid understanding of data modeling, data structures, and data integration concepts.
  • Familiarity with cloud data platforms and concepts (Azure preferred).
  • Experience working with analytics and reporting from a business perspective.
  • Exposure to data integration tools such as Azure Data Factory or similar (preferred).
  • Experience with Python for data analysis or automation is a plus.
  • Knowledge of data governance, data privacy, and best practices is a plus.
  • Strong analytical, problem-solving, and troubleshooting skills.
  • Excellent communication skills with the ability to translate complex data concepts into clear, actionable insights.
  • Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, or a related field, or equivalent practical experience.