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Afternoon Data Analyst R Programming Jobs in Columbia, SC

Sr Data Analyst

North, SC · On-site

$79.80K - $100.70K/yr

Actively contribute to the expertise and competencies of the Data & Analytics team and work closely ... Programming languages: Python, R, SQL * Tool * * Cloud databases * Amazon Redshift, Microsoft Azure ...

Actively contribute to the expertise and competencies of the Data & Analytics team and work closely ... Programming languages: Python, R, SQL * Tool * * Cloud databases * Amazon Redshift, Microsoft Azure ...

Knowledge of programming languages across various software platforms, using DB2, SQL, and/or relational databases. Ability to analyze data results, determine the source of aberrant statistics, and ...

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 ...

Data Architect

Columbia, SC

$59 - $75.75/hr

Proven working experience as a data analyst or business data analyst Technical expertise regarding ... programming (xml, Javascript, or ETL frameworks) Knowledge of statistics and experience using ...

The IT DataBase Analyst 2 (DA2) is responsible for assessing complex data systems, creating reports ... R, Python or similar software a plus. • Proficient in Azure Data Factory, Azure Fabric, and ...

Data Architect

Columbia, SC · On-site

$59 - $75.75/hr

INTERPRET DATA, ANALYZE RESULTS USING STATISTICAL TECHNIQUES AND PROVIDE ONGOING REPORTS DEVELOP ... PROGRAMMING (XML, JAVASCRIPT, OR ETL FRAMEWORKS) KNOWLEDGE OF STATISTICS AND EXPERIENCE USING ...

Junior Data Scientist

Columbia, SC · On-site +1

$60K - $90K/yr

Perform data analysis, generate insights, and identify patterns to support decision-making. Design ... ML engineering. Strong proficiency in Python, R, or Scala with experience using data science ...

Parner with Power BI developers to enhance dashboards. Translate complex findings into executive ... Advanced proficiency in R and/or Python for data analysis and modeling. Experience with SQL and ...

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Afternoon Data Analyst R Programming information

See Columbia, SC salary details

$31.5K

$76.5K

$125.8K

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

As of May 28, 2026, the average yearly pay for afternoon data analyst r programming in Columbia, SC is $76,453.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $89,700.00 per year, depending on experience, location, and employer.

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 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 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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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

Sr Data Analyst

Artefact

North, SC • On-site

$79.80K - $100.70K/yr

Other

Posted 6 days ago


Job description

About the job

Do you think like a management consultant, thrive in a startup environment, and can't stop thinking about the intersection of data, technology, and AI?

With over  2000 employees, offices on five continents, and world-class clients like Samsung, L'Oreal, and LVMH, Artefact is a consulting firm that transforms data into value and business impact. 

Who We Are

Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we're also growing in parallel.

We have 2000 employees across 34 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe.

Find out more at artefact.com.

What you will be doing 

As an Analyst with a background in marketing and media agency experience, you will play a pivotal role in the intersection of data analysis and business strategies. We are seeking a candidate who not only possesses advanced analytical skills but can also effectively engage with clients, ensuring that internal projects and client accounts are managed, aligned, and successfully executed.

Key tasks include: 

  • Conducting projects to accompany the transformation of your clients' businesses through the effective collection, processing, and visualization of data
  • Extract valuable insights from clients' marketing-related data sources to support informed decision-making.
  • Research and develop new technical approaches to address challenges efficiently in the marketing and media domain.
  • Create data visualization dashboards tailored to marketing decision-making while aligning with business requirements.
  • Actively contribute to the expertise and competencies of the Data & Analytics team and work closely with other divisions, including Media & Activation, Creation, Consulting, Data Science, and Data Engineering, to provide comprehensive services to clients.

What we are looking for 

We're looking for forward-thinkers and "quick studies" who are poised to make a significant impact, are ready to help our clients in their digital and data journeys, and will help to position Artefact at the forefront of innovation and disruption. As someone who will help build our U.S. office from the ground up, we need a data engineer who's naturally curious, independent, team-oriented, and eager to learn. We'll give you the tools and training to be successful, and you'll come armed with the following:

  • Undergraduate degree with strong academic performance
  • 2-5 years of full-time work experience in a data-driven working environment with experience or knowledge in:
    • Dashboarding: Tableau, Looker Studio, Power BI
    • Programming: Jupyter, VS code, Github
    • Programming languages: Python, R, SQL
    • Tool
    • Cloud databases
      • Amazon Redshift, Microsoft Azure, Google BigQuery, Salesforce (or other popular CRM tools)
  • Additionally, have knowledge in one or more of the following technologies:
    • You know how to connect to an API through the knowledge of the different authentication methods (OAuth, HTTP Basic, API key)
    • ETL tool (Airflow, Dataiku, Dataflow, Dataprep...) 
    • Web application (R-Shiny, Python Flask) that you have industrialized 
  • Have a strong business-orientation with great verbal and written communication skills; ability to represent Artefact in a client-facing capacity
  • Ability to engage with diverse team members; strong intercultural communication skills are a must
  • Advanced familiarity with Excel and PowerPoint
  • Experience using Google Suite a plus
  • Strong teaching orientation; demonstrated ability to mentor more junior members of the team

Why you should join us 

We are united by our values and strengthened by our hybrid expertise.

  • There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed.
  • Client trust is won on the field: Addressing client needs flows better hands on at their side.
  • If not used, it is useless: Our love for technology translates into a steep desire for adoption, true brilliance is about impact.
  • If not shared, our work is not done: Sharing knowledge is the best way to button up a mission, benefitting clients and colleagues.
  • We learn everyday: Tech is a land where everything move at the speed of light, you better be ready to challenge yourself.