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

Security Data Analyst - Parsing

Austin, TX · On-site +1

$111K - $144K/yr

The ideal candidate has a thorough understanding of Python, Data analysis techniques, AWS, ETL patterns, and Automation techniques. This is a local or remote role supporting a hybrid workforce with ...

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

We are looking for a passionate Security Data Analyst/Python Developer to help us parse, transform, and analyze dirty data. The ideal candidate has a thorough understanding of Python, Data analysis ...

Data Analyst

Austin, TX · On-site

$40 - $50/hr

Proficiency in Python for data analysis and automation. * Experience developing and maintaining dashboards using Tableau (preferred) or similar visualization tools. * Strong analytical, problem ...

You will be skilled in data analysis tools such as Excel or Tableau and have experience in programming languages such as Python or R. You will be responsible for ensuring that data analysis is ...

Job Title Data Visualization & BI Developer (Tableau, Python, Snowflake) Overview / Summary We are seeking a Data Visualization & BI Developer with experience in data analysis, reporting, and ...

Job Title Data Visualization & BI Developer (Tableau, Python, Snowflake) Overview / Summary We are seeking a Data Visualization & BI Developer with experience in data analysis, reporting, and ...

... data analysis, senior business/systems analyst, and/or data liaison role. 10 Required Strong ... Python. 1 Preferred Experience applying responsible AI practices and compliance with agency ...

Working knowledge of programming languages like Python or R for data analysis, automation, and statistical modeling * Experience handling and analyzing large, complex datasets, with an understanding ...

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Python Data Analysis information

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How much do python data analysis jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for python data analysis in Austin, TX is $58.09, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $65.96 per hour, depending on experience, location, and employer.

What is a python data analysis?

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 python data analysis, 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.

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:
Infographic showing various Python Data Analysis job openings in Austin, TX as of August 2026, with employment types broken down into 37% Full Time, and 63% Contract. Highlights an 25% In-person, and 75% Remote job distribution, with an average salary of $120,832 per year, or $58.1 per hour.

Security Data Analyst - Parsing

SpyCloud

Austin, TX • On-site, Remote

$111K - $144K/yr

Other

Posted 16 days ago


Job description

*The ideal candidate for this role would work hybrid (2 days per week) in our Austin, Texas headquarters. We are also open to candidates who are remote in the United States, but can travel to our headquarters 1-2 times per quarter*

We are looking for a passionate Security Data Analyst/Python Developer to help us parse, transform, and analyze dirty data. The ideal candidate has a thorough understanding of Python, Data analysis techniques, AWS, ETL patterns, and Automation techniques. This is a local or remote role supporting a hybrid workforce with an expected 40 hours per week.

Our Stack:

  • Python
  • Linux
  • Databases: Elasticsearch, SQL, Databricks
  • AWS (EC2, RDS, SQS, S3, Lambda, API Gateway, and more)

What You'll Do:

  • Parse, clean, and transform structured and unstructured datasets to the spycloud schema.
  • Build Python-based automation for the parsing platform.
  • Bring order to dirty and/or unstructured data.
  • Develop ETL-style automation scripts.
  • Monitor the ingestion process for issues.
  • Collaborate with the team to design and build innovative data systems.
  • Analyze data based on the consumption of blogs for the marketing team.
  • Develop processes, standards and CI/CD pipelines to manage our codebase.
  • Leverage AI to help automate parsing dirty datasets

Requirements:

  • 5-7 years of professional experience as a Python developer.
  • A love of working with data.  Familiarity with cleaning/transforming data.
  • Experience building data solutions and automation tools using Python.
  • Proficient in Linux bash/ksh scripting and Regular Expressions.
  • Interest in cybersecurity.
  • Strong understanding of computer science fundamentals (data structures, algorithms, data processing).
  • Experience with relational and NoSQL databases.
  • Excellent communication skills.
  • Great team player.
  • Self-directed, empathetic, and eager to automate repetitive tasks.
  • Able to switch contexts as business needs change.

Nice to Have:

  • Background or strong interest in cybersecurity.
  • Familiarity with Git version control system.
  • Experience with AWS (Compute, Storage, Database).
  • Experience working with Infrastructure as Code (we use Terraform and Ansible).

Base Salary Range: $111,000 - 144,000

The salary range reflects the expected base compensation for a fully qualified candidate at this level based on experience, qualifications, and market data at the time of posting.