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Remote Python Analyst Jobs in Austin, TX (NOW HIRING)

YO AI Labs

GIS/geospatial Expert - Remote

Austin, TX · Remote

$80 - $100/hr

Remote Job Overview We are seeking experienced GIS / Geospatial Experts with hands-on experience in ... analysis and feedback on GIS and geospatial challenges. * Document technical workflows using Python ...

New

Aylo Careers

Business Intelligence Analyst

Austin, TX · On-site +1

... while remote team members play an integral role in shaping our dynamic culture from afar. We have ... More advanced knowledge of Python and/or development concepts * E-commerce and/or Payment ...

SpaceX

Sr. Business Analyst (Customer Success)

Bastrop, TX · Remote

$92K - $118K/yr

... in remote and underserved areas. The team drives consumer adoption and expansion by analyzing ... Experience with ETL processes, data pipelines, or automation scripting (e.g., Python, VBA)

Wood Plc

GIS Analyst - FEMA

Austin, TX · Remote

... Remote Skills / Qualifications Required: * 2 - 5 years of GIS project experience * BA/BS in GIS ... Customization of GIS software using Python * Basic proficiency in other scripting/programming ...

SpaceX

Sr. Platform Integrity Analyst (Starlink)

Bastrop, TX · On-site +1

$87K - $115K/yr

... Python), geospatial tools (e.g., ArcGIS), and/or statistical software (e.g., R) * 4+ years of ... This position is based in Bastrop, TX and requires being onsite-remote work not considered * Must ...

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All JobsPython Analyst JobsRemote Python Analyst JobsRemote Python Analyst Jobs in Austin, TX

Remote Python Analyst information

See Austin, TX salary details

$33.7K

$81.9K

$134.8K

How much do remote python analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote python analyst 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 remote Python analyst?

A Remote Python Analyst is a professional who works primarily with the Python programming language to analyze data, automate processes, and develop software solutions, all while working from a remote location. Their responsibilities often include data analysis, scripting, building data pipelines, and creating reports or dashboards. They collaborate with teams virtually and can work for companies in various industries such as finance, healthcare, technology, or consulting. The remote aspect allows for flexibility in work location and often requires strong communication and self-management skills.

What are the key skills and qualifications needed to thrive as a remote Python analyst?

To thrive as a Remote Python Analyst, you need strong programming skills in Python, experience with data analysis, and typically a degree in computer science, statistics, or a related field. Familiarity with technical tools such as Jupyter Notebooks, pandas, NumPy, SQL databases, and data visualization libraries, as well as version control systems like Git, is essential. Excellent problem-solving abilities, self-motivation, and clear communication skills help you excel in a remote environment and effectively collaborate with teams. These skills and qualities enable accurate data-driven insights and ensure productivity while working independently from any location.

How does a remote Python analyst typically collaborate with team members across different time zones?

As a Remote Python Analyst, effective collaboration often involves using communication tools such as Slack, Zoom, and project management platforms to stay connected with team members in various locations. You'll likely participate in regular virtual meetings, share code through platforms like GitHub, and provide asynchronous updates to accommodate different time zones. Flexibility and proactive communication are essential for ensuring projects stay on track and that everyone is aligned, despite not working in the same physical space.

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

AspectRemote Python AnalystData Analyst
Required SkillsPython programming, data analysis, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data analysis coursesExcel, SQL certifications, Tableau
Work EnvironmentRemote, tech-focused companiesRemote or on-site, various industries
Industry UsageTech, finance, healthcareBusiness, marketing, finance

Remote Python Analysts focus on coding and scripting with Python to analyze data, often in tech-driven industries. Data Analysts use a broader set of tools like Excel and SQL for data interpretation across diverse sectors. While both roles involve data analysis, the Python Analyst emphasizes programming skills, making it ideal for those with coding expertise seeking remote opportunities in specialized fields.

What are popular job titles related to Remote Python Analyst jobs in Austin, TX?

For Remote Python Analyst jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Remote Python Analyst jobs in Austin, TX look for?

The top searched job categories for Remote Python Analyst jobs in Austin, TX are:

What cities near Austin, TX are hiring for Remote Python Analyst jobs?

Cities near Austin, TX with the most Remote Python Analyst job openings:

Remote Python Analyst jobs near you

Electrical Engineer with Python Proficiency - AI Trainer

Kake Group

Austin, TX • Remote

Contractor

Re-posted 7 days ago

Job description

We're building a talent pool of Electrical Engineering professionals with Python proficiency to contribute to project-based AI development initiatives, focused on evaluating and enhancing frontier AI models.

Designed for electrical engineers who enjoy deep technical problem-solving, this pipeline role is for those looking to apply their simulation expertise to evaluate and push the boundaries of frontier AI models, relying on domain-specific tools such as ngspice, scikit-rf, python-control, or pandapower, with verifiable, code-graded answers run inside isolated Linux environments.

Key Responsibilities

  • Identify an appropriate electrical engineering simulation package and build problems whose solution genuinely hinges on that tool's core capabilities, whether solvers, simulation kernels, or domain-specific models.
  • Develop full Python solutions for each problem, providing all necessary netlist files and circuit definitions as required.
  • Establish the correct numerical output and define how close the AI model needs to get, using tolerance values appropriate to the engineering context.
  • Run the problem against the AI model across multiple parallel attempts, analyzing where it succeeds or falls short, and adjusting difficulty until the pass rate falls between 10% and 30%.
  • Tune circuit topologies, operating conditions, and solver parameters iteratively, building an understanding of how the model navigates complex circuit, control, and power systems problems.
  • Hand off completed tasks to a senior reviewer in your subfield and refine based on their feedback before final submission.

Core Requirements

  • Academic background in Electrical Engineering or a closely related field.
  • At least 2 years of hands-on experience in engineering research, applied work, or teaching.
  • Solid Python skills, applied to writing and validating computational solutions.
  • Capacity to build problems that cannot be solved without specialized simulation software.
  • Excellent written and verbal communication skills in English.
  • Ability to work independently in a remote, fast-paced environment.

Nice-to-Have

  • Working knowledge of one or more domain-specific electrical engineering tools, including but not limited to ngspice, scikit-rf, python-control, pandapower, or PyPSA, or a demonstrated ability to get up to speed independently.
  • Prior exposure to how frontier AI models approach complex simulation tasks.
  • Knowledge spanning more than one engineering domain, such as circuit analysis, control systems, or power systems.
  • Familiarity with containerized or sandboxed Linux execution environments.

Please Note: Due to the high volume of applications, only shortlisted candidates will be contacted.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.