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Entry Level Data Analyst R Programming Jobs in Austin, TX

Varsity Tutors

Data Science Tutor

Austin, TX · Remote

$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 ...

FreedomPay

Data Science Engineer

Austin, TX · On-site

$113K - $136K/yr

... in Python, R, or similar statistical programming languages • Experience with techniques in ... analysis • Comfort working in a Unix environment Company : FreedomPay is a white label e-commerce ...

MedReview

Data Scientist

Austin, TX · On-site

As part of a global team of developers and analysts, the Data Scientist will work with a larger ... Programming: Proficiency in Python or R along with SQL for database querying. * Mathematics ...

MedReview

Data Scientist

Austin, TX · On-site

As part of a global team of developers and analysts, the Data Scientist will work with a larger ... Programming: Proficiency in Python or R along with SQL for database querying. * Mathematics ...

SpyCloud

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

We are looking for a passionate Security Data Analyst/Python Developer to help us parse, transform, and analyze dirty data. The ideal candidate has a thorough understanding of Python, Data analysis ...

D. R. Horton

Business Analyst II

Austin, TX · On-site

$69K - $88K/yr

R. Horton, Inc., the largest homebuilder in the U.S. , was founded in 1978 and is a publicly traded ... Develops and/or evaluates previously refined data and programs and select from a range of ...

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All JobsData Analyst R Programming JobsEntry Level Data Analyst R Programming JobsEntry Level Data Analyst R Programming Jobs in Austin, TX

Entry Level Data Analyst R Programming information

See Austin, TX salary details

$13

$32

$61

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

As of Sep 10, 2026, the average hourly pay for entry level data analyst r programming in Austin, TX is $32.64, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $36.44 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 Austin, TX?

For Entry Level Data Analyst R Programming jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analyst R Programming jobs in Austin, TX look for?

The top searched job categories for Entry Level Data Analyst R Programming jobs in Austin, TX are:

What cities near Austin, TX are hiring for Entry Level Data Analyst R Programming jobs?

Cities near Austin, TX with the most Entry Level Data Analyst R Programming job openings:

Entry Level Data Analyst R Programming jobs near you
Infographic showing various Entry Level Data Analyst R Programming job openings in Austin, TX as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 16% Part Time, 7% Temporary, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $67,885 per year, or $32.6 per hour.

Data Science Tutor

Austin, TX • Remote

Varsity Tutors
Education • 501 - 1,000 employees
Learn more about Varsity Tutorsexternal

$40/hr

Part-time

Re-posted 10 days ago

Varsity Tutors rating

5.9

Company rating: 5.9 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Data Science Tutor
  • Advanced Subject Mastery: 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-driven insights. Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.
  • Conceptual Teaching & Problem-Solving: Skilled at teaching the full data science workflow from question formulation through insight communication. Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data presentations. Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics.
  • Curriculum Awareness & Adaptive Instruction: Familiar with data science curricula and bootcamp programs, and common challenges such as data cleaning complexity, selecting appropriate statistical tests, and communicating technical findings to non-technical stakeholders. Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning implementation.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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