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Entry Level Data Analyst R Programming Jobs in Austin, TX

Jobcertify

Data Analyst

Austin, TX · On-site

Data Scientist under general supervision will perform data engineering, data modeling and model ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

Corework Staffing

Data Analyst

Austin, TX · On-site

Working knowledge of programming languages like Python or R for data analysis, automation, and statistical modeling * Experience handling and analyzing large, complex datasets, with an understanding ...

Managed Staffing

Data analyst I

Austin, TX · On-site

$25 - $28/hr

1-3 years' experience in data analysis Strong Microsoft Excel skills (must-have) Experience with Power BI Entry-level knowledge of C++ and CSS (nice-to-have, not core) Engineering Technician I Active ...

Unchain Data

SUMMER Data Analyst Intern

Austin, TX · On-site

... analyze many complex and high-profile schemes. Our team applies data science and econometric ... You will have flexibility in the programming language used, but scripting languages such as R ...

Self Financial

Staff Data Analyst

Austin, TX

Strong proficiency in at least one programming language for data analysis (e.g., Python, R). * Experience with A/B testing and causal inference, including both Bayesian and Frequentist approaches and ...

CAPPS

THECB - Data Analyst IV (Data Engineer)

Austin, TX · On-site

$5.4K - $7.7K/mo

Experience with at least one programming language (e.g., Python). Familiarity with ELT/ETL ... Experience working with SAS and R. Experience working in large, complex organizations. Exposure to ...

FALL CREEK FARM & NURSERY

Data Analyst III

Austin, TX · On-site

$4.8K - $7.7K/mo

Data Analyst III Agency: Health & Human Services Comm Department: HHSC & HHS Rate Analysis M/C ... Python, or R. Builds and maintains dashboards and visualizations to identify significant ...

Zynga

Data Analyst

Austin, TX · On-site

$77K - $114K/yr

Intermediate experience with programming in Python * Adept in at least one visualization tool such as Tableau * Experience in CRM or sales analytics is helpful * Demonstrated experience with some or ...

FALL CREEK FARM & NURSERY

Data Analyst V

Austin, TX · On-site

$6.3K - $8.5K/mo

Data Analyst V Job Title: Data Analyst V Agency: Health & Human Services Comm Department: DAP ... Plus, PL/SQL, Tableau, Excel, TOAD, Oracle, SQL Developer, Business Intelligence tools, Python, R ...

Husch-Blackwell-LL

Enterprise Data Analyst

Austin, TX · On-site

The analyst turns the Firm's data, client data, and the extensive internal data the Firm maintains ... Partner with the Data Engineering team to source, integrate, and validate data from across the Firm

3coresystems

Senior Data Analyst

Austin, TX · Hybrid

$85K - $107K/yr

Senior Data Analyst \n \n \n Location: Deerfield Beach FL (Hybrid \- 3 Days a week onsite) \n \n \n ... This position partners closely with business stakeholders, technology teams, and data engineers to ...

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Entry Level Data Analyst R Programming information

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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 Analyst

Austin, TX • On-site

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Full-time

Re-posted 24 days ago

Job description

We are looking for the right people people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the worlds largest providers of products and services to the global energy industry.

Job Description & Responsibilities:
Data Scientist under general supervision will perform data engineering, data modeling and model deployment.
Analyze large scale complex business data (time series data, structured/unstructured) from various data sources and draw insights
Leverage common open-source Machine Learning/Deep Learning packages for identifying data patterns and/or building predictive models
Conduct statistical analysis to determine trends and significant data relationships
Keep up to date with latest Machine Learning and Artificial Intelligence advancements
Work with data engineers to design and construct data pipelines for reproducible analysis
Leverage cloud computing technologies like Microsoft Azure and distributed computing technologies like Apache Spark
Present results of analyses, including design of graphs, charts, tables, and other data visualizations

Qualifications:
Industry experience in predictive modeling, data science and analysis.
Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn and cloud computing platforms like Azure.
Experience handling terabyte size datasets, diving into data to discover hidden patterns and using data visualization tools.
Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.
Demonstrated teamwork, strong communication skills, and collaborative in complex engineering projects.
Completion of an undergraduate degree in STEM. Master's degree in STEM is preferred.

Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs.

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