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Senior Python Data Analysis Jobs in Flower Mound, TX

Shield AI

Staff Engineer, Data Analysis (R5290)

Dallas, TX · On-site

$150K - $220K/yr

Build automated Python workflows that make high-value metrics easily accessible to engineering ... Mentor engineers on effective data analysis practices and raise the quality bar for data-driven ...

Shield AI

Staff Engineer, Data Analysis (R5290)

Dallas, TX · On-site

$150K - $220K/yr

Build automated Python workflows that make high-value metrics easily accessible to engineering ... Mentor engineers on effective data analysis practices and raise the quality bar for data-driven ...

Publicis Groupe Holdings B.V

Senior Data Analyst

Irving, TX · On-site

$79K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Python utilizing Pandas. 10. Create POCs and perform exploratory data analysis, profiling, and data mining using Pandas. 11. Create Tableau dashboards using filters, sets/groups, parameters, and ...

Publicis Groupe Holdings B.V

Senior Data Analyst

Irving, TX · Remote

$79K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Python utilizing Pandas. 10. Create POCs and perform exploratory data analysis, profiling, and data mining using Pandas. 11. Create Tableau dashboards using filters, sets/groups, parameters, and ...

AgileEngine

Senior Data Engineer ID75059

Irving, TX · On-site

$101K - $138K/yr

You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ... advanced analytics; - Act as a technical consultant for stakeholders and leadership to gather ...

AgileEngine

Senior Data Engineer ID75059

Dallas, TX · On-site

$104K - $142K/yr

You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ... advanced analytics; - Act as a technical consultant for stakeholders and leadership to gather ...

AgileEngine

Senior Data Engineer ID75059

Dallas, TX · On-site +1

$104K - $142K/yr

You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ... advanced analytics; - Act as a technical consultant for stakeholders and leadership to gather ...

Milliman

Senior Data Governance Analyst

Dallas, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The ideal candidate must have strong experience with data analysis, data profiling, data mapping ... Proficiency with SQL, Python, and experience working with relational databases. * Excellent ...

Milliman

Senior Data Governance Analyst

Dallas, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The ideal candidate must have strong experience with data analysis, data profiling, data mapping ... Proficiency with SQL, Python, and experience working with relational databases. * Excellent ...

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All JobsPython Data Analysis JobsSenior Python Data Analysis JobsSenior Python Data Analysis Jobs in Flower Mound, TX

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:

Senior Python Data Analysis jobs near you
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.

Data Analytics Intern

Trinity Logistics Group

Dallas, TX • On-site

Internship

Re-posted 18 days ago

Job description

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX. This position will focus on building, deploying, and scaling agentic AI applications and automated workflows across the enterprise. You will contribute to producing AI-first solutions using large language models, agent frameworks, and AI-assisted coding to deliver deployable apps, agents, automated workflows, and AI orchestration.

This role will provide valuable experience working with state-of-the-art enterprise platforms (Databricks and Palantir Foundry) and AI tools (pro licenses for Codex and Claude Code). The role offers hands-on mentorship from senior analytics professionals, exposure to production data and governance practices, and high visibility to business owners giving you real ownership of high-impact projects.

What You'll Do:

  • Design, prototype, and deliver agentic systems that plan and execute multi-step business tasks.
  • Build automated workflows and connectors that integrate internal systems and APIs.
  • Implement LLM-based agents (prompting, tool-calling, memory, monitoring) and harden prototypes for handoff.
  • Produce code and deployable artifacts using AI-assisted generation.
  • Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain in-dept knowledge of business problems and likely solutions.
  • Demo results and deliver concise handoff docs, runbooks, and impact metrics.
     

What You'll Have:

  • Master's or PhD candidate or recent graduate in Data Science, Machine Learning, Computer Science, Applied Math, Statistics, Operations Research, or similar quantitative field.
  • Demonstrable experience building AI prototypes or agentic projects (coursework, research, personal projects, or employment).
  • Generate, test, and iterate code (examples: Python, JavaScript, YAML) using an IDE (VS Code, JetBrains, etc.) with AI-assisted coding (GitHub Copilot, OpenAI Codex,
  • Claude Code, Cursor, or similar). Manual coding fluency is helpful but not mandatory.
  • Familiarity with SQL and cloud data platforms (Databricks, Azure, AWS, or equivalent).
  • Strong problem solving and communication skills; ability to present technical work to nontechnical stakeholders.

Preferred / Nice-to-Have

  • Practical experience with model deployment and monitoring basics (packaging/deploying prototypes, logging/observability, basic cost and drift checks).
  • Experience building or working with data/workflow pipelines or orchestration tools or familiarity with the concepts of scheduling and task orchestration.
  • Experience working with unstructured text and retrieval approaches (RAG or index + LLM patterns) for document/question answering.
  • Comfortable integrating services via REST APIs and using secure authentication patterns.

Apply