1

Python Data Analyst Jobs in Dallas, TX (NOW HIRING)

Python Data Engineer

Irving, TX · On-site

$48.25 - $66.50/hr

Excellent analytical and problem-solving skills to troubleshoot complex software issues and propose ... Looking for highly motivated Python Developer with a strong background in Big Data technologies ...

Python Data Engineer

Irving, TX

$48.25 - $66.50/hr

Looking for highly motivated Python Developer with a strong background in Big Data technologies ... Excellent analytical and problem-solving skills to troubleshoot complex software issues and propose ...

AWS Python Data Architect

Richardson, TX · On-site

$58 - $74.50/hr

... analytics and data lake architectures. • Experience in Semantic Layer Design - Building business-friendly semantic models for reporting and self-service analytics. • Experience level : 12-15 year ...

New

Required : • 0-3 years of experience in a data, analytics, or operations role • Hands-on experience with Python, including writing scripts for data processing or automation • Working knowledge ...

The Data Analyst (SQL) will be primarily responsible for the following: * Integrate data from ... language (Python, R, or other). * Must be detail-oriented with excellent analytical and ...

If you eat, sleep, and breathe data, our data analytics position may be for you. At audiense, we're ... Experience working with python or R * Proficiency in Excel, Word, and PowerPoint * Time management ...

Data Analyst

Dallas, TX · Remote

$23.50 - $30.50/hr

Proven experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis software (e.g., R, Python, or similar). * Technical Skills: * Proficiency in SQL for database ...

Data Analyst Location : Richardson, TX (Hybrid) Key Skills: * Must be proficient in using AI ... Proficiency in Python or R for analysis and automation is a plus. • Strong instincts for ...

If you eat, sleep, and breathe data, our data analytics position may be for you. At audiense, we're ... Experience working with python or R * Proficiency in Excel, Word, and PowerPoint * Time management ...

Knowledge of programming languages such as Python or R for advanced data analysis. * Experience with GIS tools and spatial data analysis. * Understanding of data governance and compliance ...

Knowledge of programming languages such as Python or R for advanced data analysis. * Experience with GIS tools and spatial data analysis. * Understanding of data governance and compliance ...

Conducting advanced analysis using statistical tools and software, such as R or Python. Identifying areas for improvement in data collection and analysis processes and recommending solutions to ...

Knowledge of programming languages such as Python or R for advanced data analysis. * Experience with GIS tools and spatial data analysis. * Understanding of data governance and compliance ...

Conducting advanced analysis using statistical tools and software, such as R or Python. Identifying areas for improvement in data collection and analysis processes and recommending solutions to ...

Knowledge of programming languages such as Python or R for advanced data analysis. * Experience with GIS tools and spatial data analysis. * Understanding of data governance and compliance ...

next page

Showing results 1-20

Python Data Analyst information

See Dallas, TX salary details

$33.6K

$81.8K

$134.5K

How much do python data analyst jobs pay per year?

As of Aug 2, 2026, the average yearly pay for python data analyst in Dallas, TX is $81,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $96,000.00 per year, depending on experience, location, and employer.

What does a Python Data Analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

How do Python Data Analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

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

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What Does a Python Data Analyst Do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

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

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

Is Python a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.
What are the most commonly searched types of Python Data Analyst jobs in Dallas, TX? The most popular types of Python Data Analyst jobs in Dallas, TX are:
What job categories do people searching Python Data Analyst jobs in Dallas, TX look for? The top searched job categories for Python Data Analyst jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Python Data Analyst jobs? Cities near Dallas, TX with the most Python Data Analyst job openings:
Infographic showing various Python Data Analyst job openings in Dallas, TX as of July 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $81,750 per year, or $39.3 per hour.

Python Data Engineer

Virtusa

Irving, TX • On-site

$48.25 - $66.50/hr

Other

Posted 4 days ago


Job description

Proven, extensive experience (8 to 12 Years) as a Python Lead Developer, with a portfolio of successful projects.
In-depth knowledge and hands-on experience with Python frameworks like Django, Flask, FastAPI, or others depending on the specialization.
Looking for highly motivated Python Developer with a strong background in Big Data technologies with Retail risk domain experience to join our dynamic engineering team. The ideal candidate will be responsible for designing, developing, and maintaining scalable and robust data pipelines, applications, and platforms using Python and various Big Data tools. This role requires a deep understanding of data processing, distributed systems, and the ability to translate complex business requirements into technical solutions
Experience with RESTful APIs, web services, and containerization technologies like Docker and Kubernetes.
Experience with version control systems (e.g., Git) and familiarity with CI/CD pipelines and agile methodologies.
Strong proficiency with databases, including both SQL (e.g., Oracle) and NoSQL databases (e.g., MongoDB), along with an understanding of schema design.
Excellent analytical and problem-solving skills to troubleshoot complex software issues and propose innovative solutions.
Write clean, well-crafted, and maintainable Python code for server-side logic and backend features.
Work with cross-functional teams, including UX/UI designers, AbInitio & Spark Scala developers, to integrate / migrate different application components and deliver features.
Create and maintain technical documentation and specifications for software applications.

Proven, extensive experience (8 to 12 Years) as a Python Lead Developer, with a portfolio of successful projects.
In-depth knowledge and hands-on experience with Python frameworks like Django, Flask, FastAPI, or others depending on the specialization.
Looking for highly motivated Python Developer with a strong background in Big Data technologies with Retail risk domain experience to join our dynamic engineering team. The ideal candidate will be responsible for designing, developing, and maintaining scalable and robust data pipelines, applications, and platforms using Python and various Big Data tools. This role requires a deep understanding of data processing, distributed systems, and the ability to translate complex business requirements into technical solutions
Experience with RESTful APIs, web services, and containerization technologies like Docker and Kubernetes.
Experience with version control systems (e.g., Git) and familiarity with CI/CD pipelines and agile methodologies.
Strong proficiency with databases, including both SQL (e.g., Oracle) and NoSQL databases (e.g., MongoDB), along with an understanding of schema design.
Excellent analytical and problem-solving skills to troubleshoot complex software issues and propose innovative solutions.
Write clean, well-crafted, and maintainable Python code for server-side logic and backend features.
Work with cross-functional teams, including UX/UI designers, AbInitio & Spark Scala developers, to integrate / migrate different application components and deliver features.
Create and maintain technical documentation and specifications for software applications.


Virtusa logo

About Virtusa

Sourced by ZipRecruiter

We are builders, makers, and doers with the technical skills and domain expertise to transform your business at scale and speed without disruption. Our unique Engineering First approach blends deep industry expertise and empowered, agile teams, to create holistic solutions that seamlessly move the business forward. We help clients engage with new technology paradigms to creatively build solutions that drive them to the forefront of their industries.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Westborough, MA, US

Year founded

1996

Social media