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Remote Data Analyst R Programming Jobs in Austin, TX

Rugiet Health

Director of Data (Remote)

Austin, TX · On-site +1

$170K - $230K/yr

Manage and develop 2 analysts/data engineers, raising the bar on analytical rigor, ownership, and ... Python or R experience for LTV modeling, churn prediction, MMM, forecasting, and ML feature ...

Huckberry

Data & Analytics Manager

Austin, TX · On-site +1

... remote hire Responsibilities * Own prioritization and project management for the data team ... Execute hands on data engineering work: building and maintaining ELT pipelines, data models, and ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

... analysis, Singular Value Decomposition etc.) * Optimization (Linear programming, Stochastic ... Remote Support * Guaranteed Regular Salary Reviews * Job Type: W2 or Contract 1099 (full-time - 40 ...

Comcast

AI Data Engineer - Comcast Global Audit

Austin, TX · Remote

$113.50K - $136.30K/yr

... and programming techniques including SQL, dbt, Snowflake, Airflow, Tableau, AWS, MS SQL Server, Oracle BI, Teradata, Databricks, Alteryx, Spark, Python, and R to perform ETL and data analysis ...

New

The Helper Bees

Data Engineering Manager

Austin, TX · On-site +1

$150K - $160K/yr

Data Analyst(s) Duties/Responsibilities: * Lead and manage the Data Engineering team, providing ... This position offers the flexibility of remote work at approved locations within the United States.

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · On-site +1

$113.50K - $136.30K/yr

... analytics, and DevOps to advance the scalability and developer experience of our client's data ... Strong programming skills in Python & SQL and at least one major data platform ( Snowflake ...

iA American Warranty Group, Inc.

Jr Data Engineer

Austin, TX · On-site +1

$113.50K - $136.30K/yr

This is a remote position with a preference to candidates in the Central and Eastern time zones ... analytical and problem-solving abilities Is recognized for their programming skills and experience ...

New

Loxo

Data Engineer

Austin, TX · On-site +1

$113.50K - $136.30K/yr

Develop and implement tools, scripts, queries or applications for accessing, analyzing, converting ... Progressive culture * 100% flexibility in living and working from anywhere you want * 100% remote ...

Freese Nichols

SME Data Analytics

Austin, TX · On-site +1

$141.09K - $187.67K/yr

... complex engineering challenges * Commitment to continuous improvement, learning, and staying ... of remote work, and an alternative work schedule program which provides a day off every other ...

Freese Nichols

SME Data Analytics

San Marcos, TX · On-site +1

$141.09K - $187.67K/yr

... complex engineering challenges * Commitment to continuous improvement, learning, and staying ... of remote work, and an alternative work schedule program which provides a day off every other ...

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All JobsRemote Data Analyst R Programming JobsRemote Data Analyst R Programming Jobs in Austin, TX

Remote Data Analyst R Programming information

See Austin, TX salary details

$33.7K

$81.9K

$134.8K

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

As of May 29, 2026, the average yearly pay for remote 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 are the key skills and qualifications needed to thrive as a Remote Data Analyst specializing in R Programming, and why are they important?

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a Remote Data Analyst specializing in R Programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is a Remote Data Analyst R Programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

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 Remote Data Analyst R Programming jobs in Austin, TX? For Remote Data Analyst R Programming jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst R Programming jobs in Austin, TX look for? The top searched job categories for Remote Data Analyst R Programming jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Data Analyst R Programming jobs? Cities near Austin, TX with the most Remote Data Analyst R Programming job openings:
Remote Data Analyst R Programming jobs near you

Director of Data (Remote)

Rugiet Health

Austin, TX • On-site, Remote

$170K - $230K/yr

Full-time

Posted 17 days ago

Job description

Why Rugiet
Rugiet sits at the intersection of healthcare, technology, and personalization. We're rethinking how patients access specialized treatments - with speed, discretion, and real clinical impact. Our growth is accelerating, our data volume is exploding, and our opportunities are multiplying faster than we can count them (don't worry, that's your job).
If you want to build a modern data organization from the ground up, influence product experiences, and shape how nine figures of marketing spend gets deployed - this is the rare role where your work will directly move the business, every day.
Overview
The Director of Data & Analytics is the architect and accelerator of Rugiet's entire data ecosystem - infrastructure, analytics, attribution, forecasting, and personalization. You'll lead a small, high-impact team while driving the evolution of our stack as we migrate into Snowflake and build a scalable, ML-ready foundation.
You'll report directly to the CGO and partner closely with Marketing, Product, Engineering, Operations, and Finance. This is a role for someone who can zoom between big-picture strategy and hands-on analytical depth without dropping a beat.
What You'll Do
Data Strategy, Leadership & Organizational Enablement
  • Define Rugiet's data strategy and lead the team executing it - from infrastructure to analytics to modeling.
  • Manage and develop 2 analysts/data engineers, raising the bar on analytical rigor, ownership, and output.
  • Create a transparent intake and prioritization system so stakeholders understand what's happening, why, and when.
  • Introduce higher standards for what qualifies as a data request, focusing the team on analysis over mining.
  • Champion BI self-service by training teams across the company and building intuitive, reliable dashboards that reduce dependency on analysts.

Infrastructure Ownership: Snowflake, ETL & BI Tooling
  • Lead Rugiet's migration to Snowflake and design a warehouse optimized for speed, quality, and massive growth.
  • Optimize ETL pipelines (Segment → Snowflake → BI layer) that enable near-real-time reporting where it matters.
  • Shift the company away from one-off dashboards and inconsistent models toward reusable, governed, version-controlled assets.
  • Establish data governance standards - schemas, taxonomies, naming conventions - that prevent chaos as we scale.
  • Assess long term scalability of current BI tooling and build out more robust self-service offerings for the organization to adopt for key decision making

ML, Personalization & Product Partnership
  • Partner with Product and Engineering to develop data inputs, segmentation logic, and feature sets used in personalization and ML-driven experiences.
  • Translate behavioral and lifecycle data into algorithm-ready structures that improve retention, engagement, and patient outcomes.
  • Ensure data pipelines and infrastructure support scalable training, monitoring, and continuous optimization of ML models.

Growth & Retention Analytics (Attribution, LTV, Forecasting)
  • Build LTV models and LTV curves sliced by acquisition channel, offer, audience, and treatment category.
  • Create daily multi-touch attribution reporting and cut reliance on costly external tools by bringing core capabilities in-house.
  • Build Rugiet's retention OKRs and dashboards within BI tools - with intuitive views for the whole business.
  • Attribute cancellations and churn to specific lifecycle, email, and SMS campaigns with clarity and statistical rigor.
  • Architect and analyze A/B tests across the site, funnel, CRM, and product experience - unblocking high-conversion opportunities.
  • Develop MMM (Marketing Mix Modeling) in Python to inform budget allocation across nine figures of annual spend.
  • Partner with Finance on forecasting models for demand, inventory, and revenue planning.

What You Bring
  • 10+ years in Data & Analytics with 2+ years leading teams; strong preference for high-growth DTC or telehealth experience.
  • Hands-on mastery of modern data stacks:
    • Warehousing: Snowflake (or equivalent)
    • ETL/Pipelines: Segment, Fivetran, dbt, or similar
    • BI: Domo (strong preference), Looker, Mode
    • Analytics: GA4, Segment, Mixpanel
    • Attribution: Northbeam, MTA structures, familiarity with MMM
  • Advanced SQL and strong data-modeling discipline - you build scalable foundations, not just one-off queries.
  • Proven ability to turn messy data into clean insights and communicate them clearly to executives.
  • Experience enabling BI self-service and building stakeholder capability.
  • Strong understanding of data governance and privacy/security practices.

Nice to have
  • Python or R experience for LTV modeling, churn prediction, MMM, forecasting, and ML feature engineering.
  • Experience with Blotout, Growthbook, or similar tools.
  • Background in healthcare, wellness, or subscription businesses.
  • Experience building or supporting personalization/ML systems in partnership with Product.

To Apply
  • If you are excited by the opportunity to make a significant impact on a growing healthcare company by organizing and optimizing our creative output, please submit your resume and a cover letter detailing your relevant experience and why you are a great fit for this role.

Apply