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Senior Python Data Analysis Jobs in Flower Mound, TX

Data Analyst Senior

Dallas, TX · On-site +1

$107K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

CLA is looking to hire a Data Analyst Senior; you will make use of the Microsoft Power Platform, or a scripting language like R or Python. The Data Analyst Senior cleans up data for analysis and/or ...

Data Analyst Senior

Dallas, TX · On-site +1

$107K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... Python. The Data Analyst Senior cleans up data for analysis and/or visual display in a report or ... Data Analysis: Participate in the collection and analysis of data using a variety of data tools.

Data Analyst Senior

Dallas, TX · On-site

$107K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

CLA is looking to hire a Data Analyst Senior; you will make use of the Microsoft Power Platform, or a scripting language like R or Python. The Data Analyst Senior cleans up data for analysis and/or ...

Sr. Data Analyst

Richardson, TX · On-site

$78K - $98K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a highly skilled Senior Data Analyst with 4+ years of professional analytics ... Expert proficiency in Python for data analysis and modeling * Strong experience with Databricks or ...

Sr. Data Analyst

Richardson, TX · On-site

$78K - $98K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a highly skilled Senior Data Analyst with 4+ years of professional analytics ... Expert proficiency in Python for data analysis and modeling * Strong experience with Databricks or ...

Sr Business Data Analyst

Northlake, TX · On-site

$70K - $115K/yr

  • Medical

  • Dental

  • Vision

  • PTO

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles ... Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with ...

Sr Business Data Analyst

Northlake, TX

$70K - $115K/yr

  • Medical

  • Dental

  • Vision

  • PTO

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles ... Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with ...

The role offers hands-on mentorship from senior analytics professionals, exposure to production ... Python, JavaScript, YAML) using an IDE (VS Code, JetBrains, etc.) with AI-assisted coding (GitHub ...

The role offers hands-on mentorship from senior analytics professionals, exposure to production ... Python, JavaScript, YAML) using an IDE (VS Code, JetBrains, etc.) with AI-assisted coding (GitHub ...

Showing results 21-40

Senior Python Data Analysis information

See Flower Mound, TX salary details

$50.4K

$130.2K

$178.9K

How much do senior python data analysis jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior python data analysis in Flower Mound, TX is $130,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,400.00 and $150,000.00 per year, depending on experience, location, and employer.

What is a senior Python data analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.

What are the key skills and qualifications needed to thrive as a senior Python data analyst?

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What are some common challenges senior Python data analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are the most commonly searched types of Python Data Analysis jobs in Flower Mound, TX?

The most popular types of Python Data Analysis jobs in Flower Mound, TX are:

What are popular job titles related to Senior Python Data Analysis jobs in Flower Mound, TX?

For Senior Python Data Analysis jobs in Flower Mound, TX, the most frequently searched job titles are:

What job categories do people searching Senior Python Data Analysis jobs in Flower Mound, TX look for?

The top searched job categories for Senior Python Data Analysis jobs in Flower Mound, TX are:

What cities near Flower Mound, TX are hiring for Senior Python Data Analysis jobs?

Cities near Flower Mound, TX with the most Senior Python Data Analysis job openings:

Infographic showing various Senior Python Data Analysis job openings in Flower Mound, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $130,228 per year, or $62.6 per hour.

Senior AI Python Solutions Engineer

Select Minds LLC

Dallas, TX • On-site

$160K - $180K/yr

Full-time

Posted 20 days ago


Job description

Benefits:
  • HYBRID
  • Competitive salary
  • Opportunity for advancement

Senior AI / Python Solutions Engineer
Location: Dallas, TX (Hybrid)
Duration: 12+ Months (Long-Term)
Experience: 8+ Years
Interview: Virtual + In-Person
Work Authorization: Authorized to work in the U.S.

We are seeking a highly skilled Senior AI / Python Solutions Engineer to build scalable, production-grade AI applications using modern Python technologies, Large Language Models (LLMs), Agentic AI frameworks, and cloud-native architectures. The ideal candidate should have strong experience designing AI solutions, developing intelligent agents, integrating enterprise APIs, and deploying conversational AI applications in production environments.
Primary Responsibilities
* Design, develop, and deploy enterprise AI applications using Python.
* Build scalable AI services leveraging Machine Learning, Generative AI, and LLMs.
* Develop intelligent multi-agent and Agent-to-Agent (A2A) communication solutions.
* Design Retrieval-Augmented Generation (RAG) applications using vector databases.
* Build AI-powered chatbots, virtual assistants, and conversational AI platforms.
* Develop dynamic form-based applications for intelligent user interactions.
* Design and consume RESTful APIs and SOAP web services.
* Integrate enterprise systems, databases, and third-party services.
* Design scalable backend services and microservices architecture.
* Optimize application performance using Redis caching.
* Collaborate with Data Scientists, Product Managers, and Engineering teams.
* Ensure solutions are secure, scalable, maintainable, and production ready.
Required Qualifications
* 8+ years of software development experience.
* 5+ years of hands-on Python development.
* 3+ years of AI / Machine Learning development.
* Strong experience building production-grade AI applications.
* Experience designing distributed AI systems and microservices.
* Experience integrating enterprise APIs and third-party platforms.
* Hands-on experience with vector databases and semantic search.
* Strong understanding of cloud-native application development.
* Experience deploying scalable backend services.
Preferred Qualifications
* Experience with Agentic AI architectures.
* Experience with MCP (Model Context Protocol).
* Experience with Hugging Face Transformers.
* Experience with Kafka or RabbitMQ.
* Experience with enterprise AI platforms and LLM integrations.
* Knowledge of AI security, observability, and performance optimization.
Required Soft Skills
* Excellent problem-solving and analytical skills.
* Strong communication and stakeholder management.
* Ability to work in Agile development environments.
* Experience collaborating with cross-functional teams.
* Self-driven with the ability to lead technical initiatives.

Flexible work from home options available.