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Part Time Python Data Analyst Jobs in Texas (NOW HIRING)

Loopback Analytics

RWD Data Analyst Intern

Dallas, TX · On-site

Exposure to SQL and at least one scripting/statistical language (Python, R). * Exceptional problem ... Interest in using AI-assisted tools for data analysis, coding, or workflow efficiency All qualified ...

Loopback LLC

RWD Data Analyst Intern

Dallas, TX · On-site

$25 - $35/hr

Exposure to SQL and at least one scripting/statistical language (Python, R). * Exceptional problem ... Interest in using AI-assisted tools for data analysis, coding, or workflow efficiency All qualified ...

Loopback LLC

RWD Data Analyst Intern

Dallas, TX · On-site +1

Exposure to SQL and at least one scripting/statistical language (Python, R). * Exceptional problem ... Interest in using AI-assisted tools for data analysis, coding, or workflow efficiency All qualified ...

TELUS Digital

Online Data Analyst

Killeen, TX · On-site

This is a part-time long-term project and your work will be subject to our standard quality ... Data Analyst" roles. We're unlocking community knowledge in a new way. Experts add insights ...

TELUS Digital

Online Data Analyst

Frisco, TX · Remote

Join to apply for the Online Data Analyst role at TELUS Digital Are you a detail-oriented ... This is a part-time long‐term project and your work will be subject to our standard quality ...

TELUS Digital

Online Data Analyst

San Antonio, TX · Remote

Join to apply for the Online Data Analyst role at TELUS Digital 6 days ago Be among the first 25 ... This is a part-time long-term project and your work will be subject to our standard quality ...

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Part Time Python Data Analyst information

What are the key skills and qualifications needed to thrive as a Part Time Python Data Analyst, and why are they important?

To thrive as a Part Time Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a background in statistics or data science, often supported by a relevant degree or coursework. Familiarity with data visualization tools (such as Tableau or matplotlib), SQL databases, and experience using data analysis libraries like pandas and NumPy are typically required. Attention to detail, problem-solving abilities, and effective communication help you interpret data and present insights clearly to stakeholders. These skills are crucial for translating complex data into actionable information, ensuring informed decision-making in a flexible, part-time role.

What are some common challenges faced by part-time Python Data Analysts, and how can they be addressed?

Part-time Python Data Analysts often face the challenge of managing their workload within limited hours, which can make it difficult to keep up with rapidly changing project requirements or tight deadlines. Effective time management and clear communication with team members are crucial to ensure priorities are understood and tasks are completed efficiently. Additionally, staying updated on the latest Python libraries and data analysis tools can help streamline workflows and improve productivity. Collaborating closely with full-time colleagues and leveraging project management tools can also help bridge gaps in team coordination.

What is a Part Time Python Data Analyst?

A Part Time Python Data Analyst is a professional who uses the Python programming language to analyze, interpret, and visualize data, typically while working less than full-time hours. They may clean and process datasets, generate reports, create data visualizations, and support business decision-making using Python libraries such as Pandas, NumPy, and Matplotlib. The part-time aspect allows flexibility, making this role suitable for students, freelancers, or individuals seeking work-life balance. These analysts often collaborate with teams to deliver actionable insights based on data trends and patterns.

What is the difference between Part Time Python Data Analyst vs Part Time R Data Analyst?

AspectPart Time Python Data AnalystPart Time R Data Analyst
Required SkillsPython, SQL, data visualization, basic statisticsR, SQL, data visualization, basic statistics
CertificationsPython certifications, data analysis coursesR certifications, data analysis courses
Work EnvironmentRemote or on-site, tech companies, consulting firmsRemote or on-site, research institutions, analytics firms
Industry UsageFinance, marketing, tech startupsHealthcare, academia, research organizations

Both roles involve data analysis with a focus on their respective programming languages. The main difference lies in the preferred tools and industry applications. Python Data Analysts often work in tech-driven environments, while R Data Analysts are common in research and healthcare sectors. Skills and certifications are similar, making them comparable roles for part-time data analysis positions.

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 cities in Texas are hiring for Part Time Python Data Analyst jobs? Cities in Texas with the most Part Time Python Data Analyst job openings:
Part Time Python Data Analyst jobs near you

Senior Python Data Scraping Engineer (Freelance)

Mindrift

Austin, TX • Remote

$45/hr

Part-time

Posted 9 days ago

Job description

Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.

In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable 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 AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

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 various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.

Key Responsibilities:

  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
  • 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.

Requirements:

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