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Afternoon Data Analyst R Programming Jobs in Suwanee, GA

SQL programming language. * R programming language. * Skywise Palantir. * Domo. * SAS. * Web ... Experience with advanced analytics and big data tools. * Familiarity with NLP, deep learning ...

... programming (XML, Javascript, or ETL frameworks) Knowledge of statistics and experience using ... SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine ...

... SQL, etc), programming (XML, Javascript, or ETL frameworks) * Knowledge of statistics and ... SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine ...

... SQL, etc), programming (XML, Javascript, or ETL frameworks) • Knowledge of statistics and ... SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine ...

Qualifications: • Proficiency in SQL and either Python or R. • Strong statistical foundation ... Minimum 3+ years in in Data Analytics itself. Should be able to guide/lead a team. Work with ...

Data Analyst IV

Atlanta, GA · On-site

$50 - $60/hr

NACI Data Engineer & Analyst, Part-time with Full Time Potential AMDEX.ai The Art of Data Science ... Develop and maintain validation and transformation scripts using Python, R, SQL, and related tools

New

Data Analyst

Atlanta, GA · On-site

$30 - $40/hr

... Python or R for data manipulation and analysis • Experience with project management of ... Engineering, Computer Science, Information Science, Business/Management, Mathematics/Statistics ...

... R for data manipulation and analysis Experience with project management of operational programs ... Engineering, Computer Science, Information Science, Business/Management, Mathematics/Statistics ...

... R for data manipulation and analysis Experience with project management of operational programs ... Engineering, Computer Science, Information Science, Business/Management, Mathematics/Statistics ...

Familiarity with scripting languages such as Python or R for data manipulation and analysis ... Bachelor's degree in engineering, Computer Science, Information Science, Business/Management ...

Familiarity with scripting languages such as Python or R for data manipulation and analysis ... Bachelor's degree in Engineering, Computer Science, Information Science, Business/Management ...

Data Analyst

Atlanta, GA · On-site

$35 - $40/hr

Familiarity with scripting languages such as Python or R for data manipulation and analysis ... Bachelor's degree in engineering, Computer Science, Information Science, Business/Management ...

Data Analyst

Atlanta, GA · On-site +1

$100K - $110K/yr

Overview The Data Analyst identifies and develops opportunities to leverage data from enterprise ... Familiarity with statistical programming languages such as SAS, R, or Stata is helpful, but not ...

Basic knowledge of Python or R (preferred) * Understanding of statistics and data analysis techniques Qualifications: * Bachelor's degree in Computer Science, Statistics, Mathematics, or related ...

I have an opportunity for a "Data Analyst" - ( Alpharetta, GA - Hybrid) and I am looking for a ... Experience in Statistical techniques (R, hypothesis testing). Best Regards, David Miller | PH: 224 ...

Develop and maintain databases in REDCap, Access, R, STATA or other identified databases * Design ... Statistical Programming and Data Weighting Education & Certification Bachelor's degree required ...

I have an opportunity for a "Data Analyst" - ( Alpharetta, GA - Hybrid) . and I am looking for a ... Experience in Statistical techniques (R, hypothesis testing). Best Regards, David Miller | PH: 224 ...

The Data Analyst is responsible for collecting, processing and analyzing data to provide actionable ... Proficient with business intelligence/analytical tools and programming languages (e.g. R, Python ...

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Afternoon Data Analyst R Programming information

See Suwanee, GA salary details

$31.6K

$76.9K

$126.6K

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 Suwanee, GA is $76,918.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,300.00 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 Suwanee, GA? The most popular types of Data Analyst R Programming jobs in Suwanee, GA are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Suwanee, GA? For Afternoon Data Analyst R Programming jobs in Suwanee, GA, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Suwanee, GA look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Suwanee, GA are:
What cities near Suwanee, GA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Suwanee, GA with the most Afternoon Data Analyst R Programming job openings:

Full-time

Posted 16 days ago


Job description

Job Summary:
We are seeking an experienced Data Scientist to join our team. The ideal candidate will have strong expertise in data science, including proficiency in Python, SQL, and R programming languages, as well as experience with big data ecosystems, cloud computing, and machine learning techniques.
Key Responsibilities:
  • Design and implement predictive models and machine learning algorithms to solve business problems.
  • Perform feature selection using techniques such as PCA, Lasso, and Elastic Net.
  • Develop and deploy models using algorithms like Linear & Logistic Regression, SVM, Decision Trees, XGBoost, Hist Gradient Boosting, and LightGBM.
  • Utilize cloud technologies (AWS, Azure, Hadoop) for scalable data solutions.
  • Create interactive dashboards and visualizations using tools like Domo, Tableau, PowerBI, D3.js, and Matplotlib.
  • Communicate insights through compelling data storytelling for diverse stakeholders.
  • Collaborate with cross-functional teams to integrate data solutions into business processes.

Required Technical Skills:
  • Python programming language.
  • SQL programming language.
  • R programming language.
  • Skywise Palantir.
  • Domo.
  • SAS.
  • Web development languages.
  • Cloud platforms (AWS, Azure).
  • Big data ecosystems (Hadoop).

Required Qualifications:
  • 8+ years of experience in data science.
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field.

Preferred Qualifications:
  • Experience with advanced analytics and big data tools.
  • Familiarity with NLP, deep learning frameworks, and modern visualization libraries.
  • Strong problem-solving and communication skills.