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Data Analyst R Programming Jobs in Austin, TX (NOW HIRING)

TRG

IT Data Analyst

Austin, TX · On-site

The Data Scientist applies statistics, machine learning, optimization, and programming to ... Build reliable analytical datasets and pipelines using SQL, Python, Spark, and Databricks.

Zello

Product Data Analyst

Austin, TX · On-site

We're hiring a Product Data Analyst to help us figure out where the product goes next. Zello is ... Work with PMs, designers, and engineers to define product metrics, events, and what success looks ...

Meta

Data Analyst, Global Operations

Austin, TX

$125K/yr

You will partner with operational, data science, data engineering, and product teams globally to ... Data Analyst, Global Operations Responsibilities: * Partner with operations, data science ...

Zello Inc

Product Data Analyst

Austin, TX · On-site

We're hiring a Product Data Analyst to help us figure out where the product goes next. Zello is ... Work with PMs, designers, and engineers to define product metrics, events, and what success looks ...

Social Factor

Freelance Data Analyst

Austin, TX · On-site

Social Factor is looking to find US-based, qualified, available freelance Data Analysts to jump in ... This position requires a demonstration of technical aptitude that translates into programming and ...

Social Factor

Freelance Data Analyst

Austin, TX · On-site

Social Factor is looking to find US-based, qualified, available freelance Data Analysts to jump in ... This position requires a demonstration of technical aptitude that translates into programming and ...

Expedia

Senior Data Analyst - Layla AI

Austin, TX · On-site

$85K - $107K/yr

Partner closely with Product, Marketing, and engineering to frame questions, size opportunities ... Proficiency with Python (or R) for analysis. * Experience with a modern analytics stack (for ...

Expedia, Inc.

Senior Data Analyst - Layla AI

Austin, TX · On-site

$85K - $107K/yr

Partner closely with Product, Marketing, and engineering to frame questions, size opportunities ... Proficiency with Python (or R) for analysis. * Experience with a modern analytics stack (for ...

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All JobsData Analyst R Programming JobsData Analyst R Programming Jobs in Austin, TX

Data Analyst R Programming information

See Austin, TX salary details

$33.7K

$81.9K

$134.8K

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

As of Sep 10, 2026, the average yearly pay for data analyst r programming in Austin, TX is $81,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,100.00 per year, depending on experience, location, and employer.

What is a data analyst r programming?

A Data Analyst specializing in R Programming uses the R language to analyze, visualize, and interpret data to support business decisions. This role involves cleaning and transforming data, performing statistical analysis, and creating data visualizations or reports. Analysts in this field often work with databases, machine learning models, and automation tasks using R packages like dplyr, ggplot2, and tidyr. They typically collaborate with stakeholders to extract insights and communicate findings in a meaningful way.

What are typical projects or daily tasks for a data analyst r programming?

As a Data Analyst with expertise in R Programming, your typical responsibilities include cleaning and preparing large datasets, conducting statistical analyses, and creating visualizations to support business decisions. You’ll frequently use R to automate data processing workflows, generate reports, and explore insights, collaborating closely with data scientists, business analysts, and department managers. Projects may range from market trend analysis and customer segmentation to developing predictive models for operational improvements. This role often involves both independent analytical work and active participation in cross-functional meetings to present findings and recommendations.

What are the key skills and qualifications needed to thrive in the data analyst r programming position, and why are they important?

To excel as a Data Analyst R Programming, you need strong analytical abilities, proficiency in statistical analysis, and hands-on experience with R, often supported by a degree in statistics, mathematics, or a related field. Familiarity with R libraries (such as dplyr, ggplot2), databases (like SQL), and data visualization tools, as well as potential certifications in data analysis or R programming, are highly beneficial. Exceptional problem-solving skills, attention to detail, and clear communication will set you apart when interpreting data and sharing insights with stakeholders. These capabilities are essential for turning raw data into actionable business insights, ensuring data-driven decisions, and fostering collaborative project success.

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 Data Analyst R Programming jobs in Austin, TX?

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

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

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

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

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

Data Analyst R Programming jobs near you
Infographic showing various Data Analyst R Programming job openings in Austin, TX as of September 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $81,914 per year, or $39.4 per hour.

IT Data Analyst

Austin, TX • On-site

TRG
Recruiting and Staffing Services • 11 - 50 employees
Learn more about TRGexternal

Full-time

Posted 12 days ago

Job description

The Data Scientist applies statistics, machine learning, optimization, and programming to manufacturing data to improve safety, quality, throughput, cost, equipment reliability, and decision-making across plants. The role partners closely with Manufacturing IT, plant operations, engineering, quality, maintenance, and data engineering teams.
RESPONSIBILITIES
  • Translate plant and business problems into measurable analytical questions and use cases.
  • Identify, access, and assess data from MES, quality systems, equipment historians, maintenance systems, production systems, and other manufacturing sources.
  • Build reliable analytical datasets and pipelines using SQL, Python, Spark, and Databricks.
  • Perform exploratory analysis, statistical studies, root-cause analysis, forecasting, optimization, and experimentation.
  • Develop, validate, document, and monitor predictive or prescriptive models for use cases such as downtime, scrap, defects, bottlenecks, anomaly detection, yield, and preventive maintenance.
  • Evaluate data quality, lineage, coverage, missingness, bias, and operational readiness before modeling.
  • Convert findings into practical recommendations that plant personnel and leaders can use in daily decisions.
  • Create dashboards, visualizations, reports, and user interfaces that clearly communicate trends, risks, and opportunities.
  • Productionize analytics and models in partnership with data engineering, application, and Manufacturing IT teams.
  • Monitor model performance, data drift, pipeline health, and business impact after deployment.
  • Support manufacturing modernization initiatives, including cloud migration, data-product development, automation, and legacy-system retirement.

REQUIREMENTS
  • Bachelors Degree in a technical field such as computer science, computer engineering or related field required
  • 8-10 years applicable experience required
  • Data modeling at least 8-10 years of experience
  • Data pipeline at least 8-10 years of experience
  • Data analytics - able to build something out of messy data at least 8-10 years of experience
  • Experience with database technologies
  • Knowledge of the ETL process
  • Knowledge of at least one scripting language
  • Strong written and oral communication skills
  • Strong troubleshooting and problem solving skills
  • Demonstrated history of success
  • Desire to be working with data and helping businesses make better data driven decisions

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