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Weekend Python Data Analyst Jobs in McAllen, TX (NOW HIRING)

G.I.S. Technician

Pharr, TX · On-site

  • Medical

  • Dental

  • Vision

  • PTO

Key responsibilities include GIS data collection, data analysis, database management, and producing ... The schedule is full-time (40 hours, non-exempt), with flexibility for evenings, weekends, or ...

G.I.S. Technician

Pharr, TX · On-site

$37K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Key responsibilities include GIS data collection, data analysis, database management, and producing ... The schedule is full-time (40 hours, non-exempt), with flexibility for evenings, weekends, or ...

G.I.S. Technician

Pharr, TX · On-site

$37K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Key responsibilities include GIS data collection, data analysis, database management, and producing ... The schedule is full-time (40 hours, non-exempt), with flexibility for evenings, weekends, or ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building ...

Showing results 21-40

Weekend Python Data Analyst information

See McAllen, TX salary details

$32.3K

$78.5K

$129.2K

How much do weekend python data analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for weekend python data analyst in McAllen, TX is $78,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $92,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Weekend Python Data Analysts, and how can they be managed?

Weekend Python Data Analysts often face challenges such as limited time to access stakeholders or full datasets, since many team members may not be available outside standard business hours. To manage these challenges, it’s important to communicate needs and data access requirements ahead of time, and to document findings thoroughly for seamless handovers. Being self-sufficient with Python tools and data wrangling is critical, as you may need to troubleshoot issues independently. Proactively setting clear goals for each shift can also help maximize productivity during weekend hours.

What is a Weekend Python Data Analyst?

Weekend Python Data Analysts are professionals who work part-time or on weekends to analyze data using Python programming. They typically handle tasks such as cleaning data, performing statistical analyses, creating data visualizations, and generating reports. These analysts often support organizations that require flexible staffing or have projects that need attention outside of regular business hours. Their expertise in Python enables them to efficiently manipulate large datasets and extract actionable insights. This role is ideal for those seeking flexible work arrangements or supplementary income in the data analytics field.

What are the key skills and qualifications needed to thrive as a Weekend Python Data Analyst?

To thrive as a Weekend 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 certification. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and Python libraries such as Pandas and NumPy is typically expected. Excellent problem-solving, time management, and communication skills help you interpret data insights and present findings effectively during limited weekend hours. These skills ensure accurate data analysis, actionable recommendations, and efficient collaboration, even within a compressed work timeframe.

What is the difference between Weekend Python Data Analyst vs Weekend Data Scientist?

AspectWeekend Python Data AnalystWeekend Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
CertificationsData analysis certifications, Python certificationsData science certifications, Python certifications
Work EnvironmentPart-time, project-based, remote or on-sitePart-time, project-based, remote or on-site
Industry UsageBusiness analytics, finance, marketingResearch, AI development, advanced analytics

Weekend Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for business insights. Weekend Data Scientists handle more complex modeling and machine learning tasks, often requiring advanced statistical skills. Both roles are part-time, flexible, and commonly used across industries, but Data Scientists typically require a deeper technical background.

What are the most commonly searched types of Python Data Analyst jobs in McAllen, TX?

The most popular types of Python Data Analyst jobs in McAllen, TX are:

AI Training Specialist - Life Sciences

micro1 AI

Edinburg, TX • Remote

$90 - $120/hr

Part-time

Posted 18 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.