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Python Data Analysis Jobs in Austin, TX (NOW HIRING)

Vista Equity Partners Management

Data Analyst

Austin, TX · On-site

$85K - $125K/yr

Familiarity with data analysis and visualization tools including SQL, Python, Power BI, Tableau, Domo, and Sigma. • Machine Learning and AI: Knowledge of machine learning and generative AI models ...

Vista Equity Partners Management

Data Analyst

Austin, TX · On-site

$85K - $125K/yr

Familiarity with data analysis and visualization tools including SQL, Python, Power BI, Tableau, Domo, and Sigma. Machine Learning and AI: Knowledge of machine learning and generative AI models and ...

Take-Two Interactive

Data Engineer (Python/Spark)

Austin, TX · On-site

$113.50K - $136.30K/yr

... analysts to understand complex business rules and implement these for deriving insights. • ... data solutions. Qualifications : Required : • 3+ years of hands-on experience in Python. • 3+ ...

Dlapiper

Sr Data Analyst

Austin, TX · Hybrid

$89.99K - $143.09K/yr

Key skills include proficiency in SQL, Python, DAX, advanced data analysis, and strong presentation and communications skills. The role also involves fostering collaboration, driving continuous ...

CharterUP

Data Analyst

Austin, TX · Hybrid

$70K - $75K/yr

Perform data analysis to identify trends, patterns, and insights that will guide business strategy ... Proficiency in SQL, Python or equivalent * Proficiency in Excel/Google Sheets * Strong knowledge of ...

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Python Data Analysis information

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How much do python data analysis jobs pay per hour?

As of May 30, 2026, the average hourly pay for python data analysis in Austin, TX is $58.11, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.01 per hour, depending on experience, location, and employer.

What is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.
More about Python Data Analysis jobs
What are the most commonly searched types of Python Data Analysis jobs in Austin, TX? The most popular types of Python Data Analysis jobs in Austin, TX are:
What are popular job titles related to Python Data Analysis jobs in Austin, TX? For Python Data Analysis jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis jobs in Austin, TX look for? The top searched job categories for Python Data Analysis jobs in Austin, TX are:
What cities near Austin, TX are hiring for Python Data Analysis jobs? Cities near Austin, TX with the most Python Data Analysis job openings:
Python Data Analysis jobs near you
Infographic showing various Python Data Analysis job openings in Austin, TX as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 90% Full Time, 3% Part Time, 1% Temporary, and 4% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $120,861 per year, or $58.1 per hour.
Senior Python Developer

Senior Python Developer

PETADATA

Rollingwood, TX

$117.70K - $158.40K/yr

Other

Posted 7 days ago

Job description

Job Title: Senior Python Developer Experience: 15+ Years Location:TX (Onsite)

Work type: C2C

Visa Type: , H1B,-EAD

 

Job Summary:

We are seeking an experienced Senior Python Developer with 15+ years of expertise in building scalable and high-performance applications. The ideal candidate should have strong experience in backend development, APIs, and cloud technologies.

  Roles & Responsibilities:

  • Design, develop, and optimize Python-based analytics platforms supporting portfolio performance, risk, and attribution calculations.

  • Build and enhance calculation engines and batch processing pipelines for analyzing equity and fixed income portfolios.

  • Work with large-scale financial and time-series datasets, ensuring high levels of accuracy, performance, and auditability.

  • Collaborate closely with quantitative analysts and investment teams to translate complex financial models into scalable, production-ready Python solutions.

  • Maintain and support applications in Linux and cloud environments, ensuring reliability, scalability, and efficiency.

  • Implement best practices in software development, including unit testing, code optimization, and maintainability.

  • Continuously improve system performance and enhance analytics frameworks to meet evolving business needs.

  Required Qualifications:

  • Bachelor’s or Master’s degree in a quantitative or computational field such as:

    • Computer Science

    • Applied Mathematics

    • Statistics

    • Financial Engineering / Financial Mathematics

  • 5+ years of hands-on experience in Python development, preferably in analytics, data engineering, or quantitative domains.

  • Strong expertise in:

    • Python (NumPy, Pandas, SciPy)

    • SQL for data analysis and querying

    • Linux/Unix environments

    • Shell scripting for automation

  • Proven experience in designing and implementing computationally intensive systems for financial or data-driven applications.

  • Solid understanding of software engineering principles, including:

    • Modular design

    • Version control (Git)

    • Testing frameworks

    • Performance tuning

  • Strong communication skills with the ability to work effectively with cross-functional teams including quantitative researchers and business stakeholders.

  • Demonstrated interest in financial markets, data analytics, and quantitative problem-solving. 

Key Skills (Highlights):

  • Python (NumPy, Pandas, SciPy)

  • Financial Analytics & Quantitative Modeling

  • SQL & Data Analysis

  • Linux / Unix & Shell Scripting

  • Performance Optimization & Scalable Systems

  • Time-Series Data Processing

  • Cloud & Batch Processing Pipelines

  • Software Engineering Best Practices

We offer a professional work environment and are given every opportunity to grow in the Information technology world.

 Note:

Candidates are required to attend Phone/Video Call / In-person interviews and after Selection of candidate (He/She) should go through all background checks on Education and Experience.

Please email your resume to: /

Contact No: /

After carefully reviewing your experience and skills one of our HR team members will contact you on the next steps.

Apply