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Entry Level Data Analyst R Programming Jobs in Austin, TX

You will be skilled in data analysis tools such as Excel or Tableau and have experience in programming languages such as Python or R. You will be responsible for ensuring that data analysis is ...

You will be skilled in data analysis tools such as Excel or Tableau and have experience in programming languages such as Python or R. You will be responsible for ensuring that data analysis is ...

The Data Analyst I performs entry-level data analysis and data research work. Works under close supervision, with minimal latitude for using initiative and independent judgment. YOU WILL BE TRUSTED ...

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 ...

Work closely with Data Engineering, Integration, and Governance teams to ensure data definitions ... asSAS, R, or Python. Preferred1 year of experience with Power BI or Tableau. Required1 year ...

Work closely with Data Engineering, Integration, and Governance teams to ensure data definitions ... asSAS, R, or Python. Preferred1 year of experience with Power BI or Tableau. Required1 year ...

Work closely with Data Engineering, Integration, and Governance teams to ensure data definitions ... SAS, R, or Python. Preferred 1 year of experience with Power BI or Tableau. Required 1 year ...

Data Analyst

Austin, TX

$70K - $100K/yr

The Data Analyst will provide data analysis, reporting, and visualization support to the Statistics ... Strong programming skills in R or Python, with experience in both. Advantageous to be familiar with ...

New

Work closely with Data Engineering, Integration, and Governance teams to ensure data definitions ... SAS, R, or Python. Preferred 1 year of experience with Power BI or Tableau. Required 1 year ...

Data Analyst

Austin, TX · Hybrid

$70K - $75K/yr

Mathematics, Applied Mathematics, Statistics, Quantitative Economics, Data Science, Quantitative Finance, Computational Finance, or Finance Engineering * 1+ years industry experience as Data Analyst

Partner with engineers to validate data accuracy, integrity, and consistency. * Implement data validation processes to maintain high-quality analytical outputs. * Perform Advanced Analytics * Conduct ...

Typically, then, a data analyst will want to have at least 1-2 years experience in a specific field ... Programming skills preferred. Adept at queries and report writing. Knowledge of statistics, at ...

Same as grade 23. Typically, then, a data analyst will want to have at least 2-4 years of ... Programming skills preferred. Adept at queries and report writing. Knowledge of statistics, at ...

Data Analyst

Austin, TX · On-site

$70K - $75K/yr

Mathematics, Applied Mathematics, Statistics, Quantitative Economics, Data Science, Quantitative Finance, Computational Finance, or Finance Engineering * 1+ years industry experience as Data Analyst

The role involves creating reporting models, analyzing key performance indicators, and collaborating with engineers to enhance data tools and systems. Responsibilities : • Apply a product-centric ...

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Entry Level Data Analyst R Programming information

See Austin, TX salary details

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

As of Jun 18, 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 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 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 are the key skills and qualifications needed to thrive as an Entry Level Data Analyst specializing in R Programming, and why are they important?

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 are the most commonly searched types of Data Analyst R Programming jobs in Austin, TX? The most popular types of Data Analyst R Programming jobs in Austin, TX are:
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:
Infographic showing various Entry Level Data Analyst R Programming job openings in Austin, TX as of June 2026, with employment types broken down into 2% As Needed, 35% Full Time, 56% Part Time, and 7% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $67,885 per year, or $32.6 per hour.
Data Analyst

Data Analyst

Incedo

Austin, TX • On-site

Full-time

Posted 5 days ago


Job description

Company Overview
Incedo is a US-based consulting, data science and technology services firm with over 3000 people helping clients
from our six offices across US, Mexico and India. We help our clients achieve competitive advantage through
end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, and
design capabilities coupled with deep domain understanding. We combine services and products to maximize
business impact for our clients in telecom, Banking, Wealth Management, product engineering and life science
& healthcare industries.
Working at Incedo will provide you an opportunity to work with industry leading client organizations, deep
technology and domain experts, and global teams. Incedo University, our learning platform, provides ample
learning opportunities starting with a structured onboarding program and carrying throughout various stages of
your career. A variety of fun activities is also an integral part of our friendly work environment. Our flexible
career paths allow you to grow into a program manager, a technical architect or a domain expert based on your
skills and interests.
Our Mission is to enable our clients to maximize business impact from technology by
  • Harnessing the transformational impact of emerging technologies
  • Bridging the gap between business and technology

Role Description
Role Description:
As a Technical Lead - Data Analysis at Incedo, you will be responsible for analyzing and interpreting large and complex datasets to extract insights and identify patterns. You will work with data analysts and data scientists to understand business requirements and provide data-driven solutions. You will be skilled in data analysis tools such as Excel or Tableau and have experience in programming languages such as Python or R. You will be responsible for ensuring that data analysis is accurate, efficient, and scalable.
Roles & Responsibilities:
• Analyzing and interpreting complex data sets using statistical and data analysis tools
• Developing and implementing data-driven insights and solutions
• Creating and presenting reports and dashboards to stakeholders
• Collaborating with other teams to ensure the consistency and integrity of data
• Providing guidance and mentorship to junior data analysts.
Technical Skills
Skills Requirements:
• Proficiency in data wrangling and data cleaning techniques using tools such as Python, R, or SQL.
• Knowledge of statistical analysis techniques such as hypothesis testing, regression analysis, or time-series analysis.
• Familiarity with data visualization and reporting tools such as Tableau, Power BI, or Looker.
• Understanding of data exploration and discovery techniques such as clustering, anomaly detection, or text analytics.
• Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner.
• Must understand the company's long-term vision and align with it.
• Should be open to new ideas and be willing to learn and develop new skills.
• Should also be able to work well under pressure and manage multiple tasks and priorities.
Nice-to-have skills
Qualifications
Qualifications
• 7-9 years of work experience in relevant field
• B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred
Company Value
We value diversity at Incedo. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.