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

Proficiency in programming languages like Python, R, or MATLAB for data manipulation and analysis. Expertise in using data visualization tools such as Tableau, Power BI, or D3.js. Strong ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

... analytics and user personalization. The app islive, post-MVP, and scaling its data pipeline and ... Python -- 5+years ofexperience SQL -- 4+years ofexperience Google BigQuery -- 2+years ofexperience ...

Data Platform Engineer (26-27)

Weslaco, TX · Remote

$92.50K - $111.10K/yr

Partner with Analytics Engineering to ensure ingestion patterns support downstream transformation ... Proficiency with Python and scripting for automation and operational tooling. * Experience ...

Data Platform Engineer (26-27)

Weslaco, TX · On-site

$92.50K - $111.10K/yr

Partner with Analytics Engineering to ensure ingestion patterns support downstream transformation ... Proficiency with Python and scripting for automation and operational tooling. * Experience ...

Data Platform Engineer (26-27)

Weslaco, TX · Remote

$92.50K - $111.10K/yr

Partner with Analytics Engineering to ensure ingestion patterns support downstream transformation ... Proficiency with Python and scripting for automation and operational tooling. * Experience ...

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

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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 May 29, 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 the key skills and qualifications needed to thrive as a Weekend Python Data Analyst, and why are they important?

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 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 are Weekend Python Data Analysts?

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 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:

Procurement Data Analyst

Xylem

Chihuahua, TX • On-site

Full-time

Posted 13 hours ago


Xylem rating

7.3

Company rating: 7.3 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

298th of 511 rated manufacturers


Job description

Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world's most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions.

Job Summary:
The Senior Data Analyst is an expert in the field of data who leverages their extensive experience to lead and execute complex data analysis projects. They are instrumental in designing sophisticated data models and analytics that inform strategic business decisions. With a mentorship role, they guide junior analysts through intricate data tasks and ensure the accuracy and reliability of data interpretations. Their collaborative efforts with various departments help to align data initiatives with organizational goals. The Senior Data Analyst's ability to distill vast datasets into actionable insights makes them a valuable asset in any data-driven enterprise.
Responsibilities:
Data Analysis
Conduct data analysis to identify trends and insights
Develop and maintain data models
Create dashboards and reports to communicate findings
Collaborate with cross-functional teams to gather and analyze data for business decisions
Data Management
Oversee data collection, cleaning, and validation processes
Ensure data accuracy and integrity
Develop and maintain data governance policies
Identify and implement data quality improvements
Data Visualization
Design and develop visualizations for data interpretation
Utilize various tools and techniques to present data in a user-friendly and impactful manner
Continuously improve and innovate data visualization techniques
Data Strategy and Planning
Collaborate with stakeholders to understand business needs and objectives
Develop data strategies to support business goals
Identify and recommend new data sources and technologies
Monitor and evaluate data processes and systems for efficiency and effectiveness
Project Management
Lead data projects from conception to completion
Create project plans, timelines, and budgets
Monitor and report project progress and risks
Coordinate with team members to ensure project success
High Impact Behaviors:
Continuous Professional Development: Professionals should be committed to lifelong learning, seeking out opportunities for self-improvement, and staying abreast of industry trends and best practices.
Collaboration and Teamwork: Effective professionals understand the value of collaboration. They work well with others, contribute to team goals, and understand that diverse perspectives can lead to better solutions.
Results-Driven Performance: High-performing professionals focus on delivering results. They set high standards for their own performance and are committed to achieving objectives efficiently and effectively.
Qualifications:
A bachelor's degree in Engineering, Computer Science, Mathematics, Statistics, or a related field with at least 4 years experience or equivalent work experience that provides exposure to fundamental theories, principles, and concepts.
Extensive experience in data analysis, statistical modeling, and machine learning.
Proficiency in programming languages like Python, R, or MATLAB for data manipulation and analysis.
Expertise in using data visualization tools such as Tableau, Power BI, or D3.js.
Strong understanding of engineering principles and processes.
Project management skills to lead complex data initiatives.
Ability to communicate effectively with technical and non-technical stakeholders.
Problem-solving mindset to tackle intricate engineering challenges using data-driven approaches.
Continuous learning to stay updated with emerging technologies and methodologies in data science.

Join the global Xylem team to be a part of innovative technology solutions transforming water usage, conservation, and re-use. Our products impact public utilities, industrial sectors, residential areas, and commercial buildings, with a commitment to providing smart metering, network technologies, and advanced analytics for water, electric, and gas utilities. Partner with us in creating a world where water challenges are met with ingenuity and dedication; where we recognize the power of inclusion and belonging in driving innovation and allowing us to compete more effectively around the world.


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