ZipRecruiter

Log In

1

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

Zello

Product Data Analyst

Austin, TX · On-site

$85 - $110/hr

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 ...

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 ...

Apple

Legal Data Analyst, Applied Data Science

Austin, TX

$175K - $263K/yr

... Engineers to identify opportunities where AI can automate or augment analytical workflows Document data lineage, business rules, and transformation logic Partner with Data Stewards across practice ...

Apple

Legal Data Analyst, Applied Data Science

Austin, TX

$175K - $263K/yr

... Engineers to identify opportunities where AI can automate or augment analytical workflows Document data lineage, business rules, and transformation logic Partner with Data Stewards across practice ...

previous page

Showing results 41-60

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 Aug 20, 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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $81,914 per year, or $39.4 per hour.

Senior Data Analyst, Lead Intelligence

Realtor.com Careers

Austin, TX • On-site

$85K - $107K/yr

Other

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions.
Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance.
About the Role
The Data Science & Analytics organization at Realtor.com is looking for a Senior Data Analyst to join our team as a strategic partner supporting Lead Intelligence & Revenue Optimization. This role will provide strategic insights and data driven guidance to support the creation of a unified engine that strategically supports the full lifecycle of a lead-optimizing lead generation and inventory allocation to maximize organizational yield and client satisfaction.
As a Senior Data Analyst, you will not just report data; you will be a key analytical engine driving our revenue management strategy. You will work at the intersection of supply quality and demand yield, using data to drive precise decisioning for geo-targeted marketing and smart inventory management.
Top Reasons to Apply:
  • High-Impact Marketplace Optimization: You will directly influence revenue routing and inventory yield strategies across a massive, national two-sided marketplace.
  • Full Ownership of Next-Gen Data Layers: Transition V1 builds from external vendors into internal hands, taking full ownership of our predictive close models and Lead-To-Transact pipeline.
  • Complex Data Problem Solving: Uncover non-obvious revenue streams, such as identifying low-priority land-listing leads that actually convert into high-value single-family home transactions.
  • Direct Stakeholder & Executive Visibility: Partner directly with Product, Tech, Pricing, and Engineering teams to transform complex statistical insights into executive dashboards and automated allocation rules.
What You'll Do
  • Lead Intelligence Strategy & Support: Act as the primary analytical partner for the Lead Intelligence initiative, helping to define and align lead inventory allocation and optimization across all geographies.
  • Advanced Forecasting & Modeling: Evolve and improve sophisticated forecasting models for lead delivery and sales pipeline. You will perform scenario analysis to maximize outcomes while optimizing the consumer and client experience.
  • Inventory & Yield Optimization: Conduct deep-dive analyses to identify and prioritize high-value leads by geography and intent signal. Use these insights to recommend rules-based allocation strategies that optimize yield.
  • Impact Simulation: Simulate and report on the knock-on effects of changes to product eligibility and allocation rules across various business units.
  • KPI Development & Monitoring: Track and forecast lead delivery for operational planning, building new KPIs to measure the success of lead outcomes and revenue optimization.
  • Cross-Functional Partnership: Collaborate with Product, Tech, Pricing, and Client Engineering teams to ensure the standardized implementation of rules across the RDC ecosystem.
What You'll Bring
  • Education & Experience: Bachelor's Degree in Business Analytics, Math, Economics, or a related field, with 5+ years of experience analyzing data to answer critical business questions. Master's Degree with 3+ years of experience or PhD also eligible.
  • Technical Mastery: Advanced knowledge of SQL is required. Proficiency in Python or R is a plus for building sophisticated optimization models.
  • Data Visualization: Experience with tools like Tableau, Shiny, or Streamlit to create impactful data stories for executive stakeholders.
  • Analytical Rigor: Strong understanding of experimentation and statistics (e.g., hypothesis testing, regression analysis, and statistical modeling) to analyze lead and feature-level performance. Experience with modeling and simulation capabilities preferred.
  • Cloud Platforms: Experience working within cloud-based environments such as AWS and Snowflake.
  • Strategic Thinking: Ability to handle operational complexity and move from "what" the data says to "why" it is moving, enabling data-driven decisioning for the entire organization.
  • Agility: Comfort working in a highly agile, intensely iterative environment where you must manage multiple priorities and ambiguous concepts.
How We Work:
We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our Austin headquarters, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.
How We Reward You:
Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:
  • Inclusive and Competitive medical, Rx, dental, and vision coverage
  • Family forming benefits
  • 13 Paid Holidays
  • Flexible Time Off
  • 8 hours of paid Volunteer Time off
  • Immediate eligibility into Company 401(k) plan with 3.5% company match
  • Tuition Reimbursement program for degreed and non-degreed programs
  • 1:1 personalized Financial Planning Sessions
  • Student Debt Retirement Savings Match program
  • Free snacks and refreshments in each office location

Do the best work of your life at Realtor.com
Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. At Realtor.com , you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow.
Diversity is important to us, therefore, Realtor.com is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com will provide reasonable accommodations for otherwise qualified disabled individuals.

Apply