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Senior Python Data Analysis Jobs in Flower Mound, TX

Prophecy Technologies

Senior Python Developer

Dallas, TX · On-site

$120K - $161K/yr

Operating within the banking domain, the successful candidate will build and scale data-driven ... Oracle Database 12c/19c (including deep knowledge of analytical functions and collections)

AT&T

Lead Data Analysis

Dallas, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The ideal candidate combines strong data analysis skills, SQL and Python capability, executive ... Develop leadership dashboards, scorecards, business reviews, executive summaries, and senior ...

AT&T

Principal Data Analysis

Dallas, TX · On-site

$128K - $215K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Use tools and technologies such as SQL, Power BI, Python, and related analytics platforms to ... Works with minimal oversight, regularly consults with senior leadership, and influences executive ...

Virtusa

Gen AI developer

Irving, TX · On-site

$116K - $157K/yr

... This is a senior development role responsible for leading the design, architecture, and ... The role requires deep expertise in Python, data engineering, and AI/GenAI (including LLMs), with a ...

Capital One

Sr. Manager- Data Analysis

Plano, TX · On-site

Sr. Manager- Data Analysis At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit ...

Capital One

Senior Manager, Data Analysis

Plano, TX · On-site

Senior Manager, Data Analysis At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit ...

Capital One

Senior Manager- Data Analysis

Plano, TX · On-site

Senior Manager- Data Analysis At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit ...

Capital One

Sr. Manager- Data Analysis

Plano, TX · On-site

Sr. Manager- Data Analysis At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit ...

Capital One

Senior Manager- Data Analysis

Plano, TX

Senior Manager- Data Analysis At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit ...

Capital One

Senior Manager, Data Analysis

Plano, TX · On-site

Senior Manager, Data Analysis At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit ...

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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.

Senior Python Data Scraping Engineer (Freelance)

Mindrift

Dallas, TX • Remote

$45/hr

Part-time

Re-posted 22 days ago

Job description

Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.

What We Do 

The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.

About the Role

This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.

Key Responsibilities

  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Educational qualifications

  • At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.

Academic and/or Professional Experience

Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.

Technical Skills (Essential)

  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)

Additional requirements

  • Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
  • Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
  • Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
  • Strong attention to detail and commitment to data accuracy
  • Self-directed work ethic with ability to troubleshoot independently
  • A link to GitHub is a plus
  • English proficiency: Upper-intermediate (B2) or above (required)

Project time expectations 

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation 

On this project, contributors can earn up to $45 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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