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Python Data Analyst Jobs in Texas (NOW HIRING)

Senior Specialist Seeking a Senior Specialist with 7 to 11 years of experience in Python and data ... Work closely with data scientists, analysts, and product teams to translate requirements into ...

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 ...

The Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ... Proficient in various data specific coding languages (Python, SQL, Jinja, etc.) * Able to make ...

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 ...

The Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ... Proficient in various data specific coding languages (Python, SQL, Jinja, etc.) * Able to make ...

The Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ... Proficient in various data specific coding languages (Python, SQL, Jinja, etc.) * Able to make ...

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 ...

Working knowledge of DAX, Power Query, Python, or other data transformation and analytics tools. * Experience with Infor CloudSuite Industrial (CSI v10 multi-tenant cloud environment preferred)

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 ...

Working knowledge of DAX, Power Query, Python, or other data transformation and analytics tools. * Experience with Infor CloudSuite Industrial (CSI v10 multi-tenant cloud environment preferred)

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 ...

... Python. • Identifying areas for improvement in data collection and analysis processes and recommending solutions to improve efficiency and accuracy. • Preparing reports and presentations to ...

Data Analyst

Richardson, TX · On-site

$40 - $45/hr

Proficiency in Python or R for analysis and automation is a plus. * Strong instincts for ... Experience with data modeling, data quality, and data governance you understand data and how it ...

Working knowledge of DAX, Power Query, Python, or other data transformation and analytics tools. * Experience with Infor CloudSuite Industrial (CSI v10 multi-tenant cloud environment preferred)

Proficiency in data analysis tools and techniques, including advanced SQL, Power BI, Python, KNIME or similar tools preferred. * Ability to work with large, complex datasets from multiple sources and ...

Title: Data Analyst/Developer Location: Grand Prairie, TX Job Mode: This role is on-site 5 days ... Strong SQL querying experience; exposure to R or Python is a plus. * 1+ year of front-end ...

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Python Data Analyst information

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.

Are Python coders still in demand?

Python data analysts are currently in high demand due to the language's versatility in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and experience with data visualization tools increase employability across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals successfully transition into data analysis at various ages by acquiring skills in programming languages like Python or SQL, and gaining experience with data visualization tools. Employers value skills and experience over age, and continuous learning can help you stay competitive in the field.

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 useful for data analysts?

Python is highly useful for data analysts as 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.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data analysts are needed to interpret complex insights, make strategic decisions, and develop models that require domain expertise and critical thinking. Skills in programming, data visualization, and understanding AI tools remain valuable in this evolving field.
What are the most commonly searched types of Python Data Analyst jobs in Texas? The most popular types of Python Data Analyst jobs in Texas are:
What are popular job titles related to Python Data Analyst jobs in Texas? For Python Data Analyst jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Python Data Analyst jobs? Cities in Texas with the most Python Data Analyst job openings:
Infographic showing various Python Data Analyst job openings in Texas as of June 2026, with employment types broken down into 2% Internship, 72% Full Time, 6% Part Time, 17% Contract, and 3% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
Python Automation lead

Python Automation lead

ClifyX

Austin, TX • On-site

Other

Posted 2 days ago


Job description

Senior Specialist

Seeking a Senior Specialist with 7 to 11 years of experience in Python and data technologies including Flask, Apache Spark, Scala, and Nginx to design and implement scalable data driven solutions.

Develop and maintain high performance data processing applications using Apache Spark and Scala. Build and deploy RESTful APIs and web services using Flask framework.

Utilize Python extensively for data manipulation, automation, and integration tasks. Configure and optimize Nginx as a reverse proxy and load balancer for web applications.

Collaborate with cross functional teams to design scalable data architectures within the Python Data skill cluster.

Ensure code quality, performance, and reliability through rigorous testing and best practices.

Stay updated with the latest trends and advancements in data engineering and Python ecosystems.

Lead the design and development of data processing pipelines leveraging Apache Spark and Scala.

Architect and implement backend services and APIs using Flask to support data driven applications. Manage deployment and configuration of Nginx servers to ensure high availability and security. Mentor junior developers and provide technical guidance in Python and related technologies.

Work closely with data scientists, analysts, and product teams to translate requirements into technical solutions.

Optimize existing data workflows for performance and scalability. Participate in code reviews, troubleshooting, and resolving complex technical issues.


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About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998