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Python Data Analyst Jobs in Texas (NOW HIRING)

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

Houston, TX ยท On-site

$60K - $75K/yr

Support regional planning efforts through advanced land use modeling, data analysis, and ... Develop and maintain land use forecasting models using SAS and Python, incorporating time-series ...

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)

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)

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 ...

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 ...

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)

Data Analyst

Dallas, TX ยท On-site

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 ...

Data Analyst

Dallas, TX ยท On-site

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 ...

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 ...

Showing results 41-60

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.

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 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.

What are 10 careers related to Python Data Analyst?

Careers related to a Python Data Analyst include Data Scientist, Business Intelligence Analyst, Data Engineer, Data Architect, Quantitative Analyst, Machine Learning Engineer, Data Consultant, Data Operations Manager, Data Warehouse Developer, and Research Analyst. These roles often require skills in programming, data visualization, and statistical analysis, and may involve working with tools like SQL, Tableau, or cloud platforms.

What is the salary of a Python Data Analyst?

The salary of a Python Data Analyst typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with strong skills in Python, data visualization, and statistical analysis tend to earn higher salaries, especially in tech hubs or large organizations.
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 job categories do people searching Python Data Analyst jobs in Texas look for? The top searched job categories for Python Data Analyst jobs in Texas 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 August 2026, with employment types broken down into 70% Full Time, 2% Part Time, and 28% Contract. Highlights an 92% In-person, 4% Hybrid, and 4% Remote job distribution.

Data Analyst

Buxton

Fort Worth, TX โ€ข On-site

Full-time

Posted 25 days ago


Job description

Audiense is a next-generation analytics-to-action platform that helps organizations deeply understand and strategically activate their consumers. We've brought together the strengths of three category-leading brands - Buxton, Elevar, and Audiense - into one integrated, insight-driven solution:
  • Buxton by Audiense - 30+ years of predictive modeling and location intelligence expertise.
  • Elevar by Audiense - Industry-leading eCommerce tagging, event tracking, and revenue attribution tools.
  • Audiense - Award-winning audience segmentation and social consumer intelligence for global brands.

Together, we help brands across industries, from retail to CPG to media, make faster, smarter, and more confident decisions that fuel real-world growth.
If you eat, sleep, and breathe data, our data analytics position may be for you. At audiense, we're passionate about data and how it can help change the way our clients do business. Our analysts' responsibilities are multifaceted and include data mining, business intelligence, and support of client accounts. In this role, you will conduct advanced analyses, create custom reporting/dashboards, and standardize all data used for developing client solutions. Additionally, you'll serve an important role in supporting client accounts by keeping clients engaged with Buxton, delivering analytical solutions, and communicating with key client stakeholders on a range of topics. We're looking for a natural and innovative problem solver who can't stop their curious mind and has a desire to dig deep for insights that answer our client's business questions.
What you'll do
  • Support a cross-functional team in the development of predictive models to aid in real estate and marketing decisions for retail, restaurant, and healthcare clients.
  • Analyze consumer data, including frequency, valuation, expenditure habits, and other patterns of behavior.
  • Analyze site location data, including trends identified by site characteristics, site types, key performance indicators, and any other qualitative findings.
  • Standardize data for analysis and perform data verification to ensure accuracy and completeness of client data received.
  • Build and customize dynamic reports and dashboards
  • Work on ad hoc analyses and custom analytic solutions.
  • Communicate project scope, progress, and findings within your internal team and directly with clients.
  • Engage directly with clients to deliver analytic solutions, provide client support of their solutions, and work with their key stakeholders, real estate teams, and marketing teams to help them solve problems within their organizations.
  • Collaborate with cross functional team to identify growth opportunities for existing client accounts

What you bring
  • BA/BS in Economics, Econometrics, Mathematics, Data Science, Market Research, Business Analytics or related field. Master's degree is a plus.
  • Outstanding analytical skills, familiarity with statistical concepts, and ability to solve complex problems
  • An innovative, positive, and self-directed attitude. Interested in finding solutions to problems.
  • Excellent oral/written communication skills
  • Ability to operate effectively in a client-facing, multi-agency/vendor environment
  • Ability to develop and maintain relationships with clients and to deliver excellent customer service
  • Experience working with python or R
  • Proficiency in Excel, Word, and PowerPoint
  • Time management skills and ability to complete work on a deadline
  • Experience in Quantitative Analytics is a plus
  • Experience with SQL or equivalent academic experience is a plus
  • Experience with Tableau is a plus