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Python Analytics Jobs in Texas (NOW HIRING)

Apex Informatics

Python Developer

Plano, TX · On-site

$48 - $66.25/hr

Should be good with data modeling and data integration/analysis skills * They have current dashboards already - Dashboards are in Tableau - Tableau is a plus Proficient in Python development as well ...

NAVA Software Solutions

Python Developer

Dallas, TX · On-site

$46.50 - $64/hr

Python Developer Location : Dallas, TX -Hybrid Duration:12 months Looking for a Developer who can ... Excellent analysis and troubleshooting skills. Desired Skills: * Agile Project Process Knowledge.

Virtusa Corporation

Python Developer

Irving, TX · On-site

$48.25 - $66.50/hr

Expertise in Python: Profound knowledge of Python, its ecosystems, and popular frameworks (e.g ... Proven ability to analyze complex problems and develop creative and effective solutions. * Strong ...

TriOptus LLC

Python Developer

Houston, TX · On-site

$48 - $66/hr

Python: Software Engineering - Intermediate Duration: 12 Months (CTH) Location: Houston , TX W2 ... analysis, development, testing, deployment, maintenance and improvement of Software.

techgenomics

Python Developer

Houston, TX

$48 - $66.25/hr

Candidate must have 4+ years of hands on experience in developing Analytical solutions using Python. * Must have experience in using various Python libraries such as Pandas, NumPy, Scipy, PyBrain ...

techgenomics

Python Developer

Houston, TX · On-site

$48 - $66.25/hr

Candidate must have 4+ years of hands on experience in developing Analytical solutions using Python. * Must have experience in using various Python libraries such as Pandas, NumPy, Scipy, PyBrain ...

Diverse Lynx

Python Engineer

San Antonio, TX · On-site

$90K - $100K/yr

Expertise in data manipulation and analysis libraries such as Pandas, NumPy, and Jupyter. Languages: Python (core), SQL, Bash/Shell scripting. Frameworks/Libraries: Django, Flask, FastAPI, Pandas ...

Saransh Inc

Kafka + Python Developer

Dallas, TX · On-site

$49.75 - $68.50/hr

Kafka, Python * As a Kafka + Python Developer, you will leverage your expertise in Python and Kafka to analyze and interpret data, providing valuable insights that drive strategic decisions.

Cambium Learning Group

Software Engineer / Python

Dallas, TX · On-site +1

$46.25 - $63.75/hr

Analyze, visualize, and summarize large multidimensional datasets * Utilize best practices for ... Extensive experience with Python and python frameworks (e.g. CherryPy, Bottle, Flask, Django)

VC5 Consulting

Python Data Engineer

Houston, TX · On-site

A well-established energy trading firm in Houston is seeking a seasoned Python Data Engineer to ... Interface directly with traders, analysts, researchers, and data scientists to gather, refine, and ...

NAVA Software Solutions

Python Developer

Houston, TX · On-site

$45.50 - $62.75/hr

Python Developer Location: Houston TX - Onsite Job Type: Full time / Direct Hire The Python ... Excellent attention to detail with strong analytical and problem-solving skills Work Environment

Sharpedge Solutions

Python Lead Developer

San Antonio, TX · On-site

$127K - $156K/yr

Python Lead Developer Location: San Antonio, TX Job Summary: We are seeking a Data Engineer with ... Analytics and Monitoring solutions within the Pricing domain. This role focuses on building ...

IMR Soft Llc

Python Streamlit Developer

Dallas, TX · On-site

$49.75 - $68.50/hr

You will work closely with leads, analysts, and product teams to transform complex datasets and models into clean, intuitive web apps using Python and Streamlit . * Design and develop web-based ...

Sarian, Inc.

Unix with Python

Dallas, TX · On-site

$46.50 - $64/hr

Analyzing and improving the performance of Unix systems. • Documentation: Creating and ... Python skills can be leveraged to automate and streamline these tasks.

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All JobsPython Analytics JobsPython Analytics Jobs in Texas

Python Analytics information

What is the salary of a Python analyst?

The salary of a Python analyst typically ranges from $60,000 to $110,000 annually, depending on experience, location, and industry. Professionals with strong skills in data analysis, machine learning, and proficiency in tools like Pandas and Jupyter Notebook tend to earn higher salaries.

What are the key skills and qualifications needed to thrive as a Python Analytics professional, and why are they important?

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.

Can I be a data analyst in 3 months?

Becoming a data analyst with a focus on Python typically requires several months of dedicated learning, including skills in data manipulation, visualization, and tools like pandas and SQL. While some individuals may acquire foundational skills in three months, gaining proficiency for a professional role usually takes longer and depends on prior experience and learning pace.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

Is Python still in demand?

Python analytics roles remain highly in demand due to Python's versatility in data analysis, machine learning, and automation. Employers seek professionals skilled in libraries like Pandas, NumPy, and frameworks such as TensorFlow, often requiring proficiency in data visualization and scripting. Staying updated with Python versions and related tools enhances job prospects in this field.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.
What are popular job titles related to Python Analytics jobs in Texas? For Python Analytics jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Python Analytics jobs in Texas look for? The top searched job categories for Python Analytics jobs in Texas are:
Python Analytics jobs near you
Infographic showing various Python Analytics job openings in Texas as of June 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.
Python Developer

Python Developer

Apex Informatics

Plano, TX • On-site

$48 - $66.25/hr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Python Developer
Location : Plano, TX ( 3 days onsite 2 days remote)
look for nearby candidates
look for W2 candidates only
Must Have Skills:
  • Python Dev - Must be strong in SQL, some Jenkins would really help as well. Python and SQL are the primary skills
  • gathering and presenting the findings in the form of reports/dashboards.
  • Should be good with data modeling and data integration/analysis skills
  • They have current dashboards already - Dashboards are in Tableau - Tableau is a plus

Proficient in Python development as well as multiple design techniques
Working proficiency in Python toolset to design, develop, test, deploy, maintain and improve software
Strong understanding of Agile methodologies with ability to work in at least one of the common frameworks
Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test Driven Development, Cloud Development, application resiliency and security
Proficiency in one or more general purpose programming languages
Working proficiency in a portion of software engineering disciplines and demonstrates understanding of overall software skills including business analysis, development, testing, deployment, maintenance and improvement of
Software.
Role and Responsibilities
• 5+ years' experience with data engineering lifecycle implementation from concept through implementation
• Strong Python development experience is required.
• Strong SQL and relational database / data warehouse skills, data analysis experience is required
• Experience with GIT / BitBucket is required
• Exposure to modern engineering practices like Unit Test-Driven Development, Acceptance Test-Driven Development, and Continuous Integration is required
• Experience in Agile development lifecycle methodology is required
• Prior experience on data modelling, hands on experience on data integration/analysis tools data visualization tools (e.g., Tableau) is preferred
• Comfortable dealing with ambiguity and fast changing environment. Ability to lead and drive efforts to completion.

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