ZipRecruiter

Log In

1

Weekend Python Data Analyst Jobs in Raleigh, NC (NOW HIRING)

The Wilson Group KW23

Data Analyst

Raleigh, NC · On-site +1

Knowing R or Python would be really helpful. Your meticulous approach results in accurate, well ... data analysis and fresh insight discovery. Essential is the capacity to succinctly and simply ...

NC SECU

Financial Data Analyst II

Raleigh, NC

Programming for Data Analytics (e.g., Python or R) * Business Statistics * Database Management (e.g. SQL) * Financial Modeling Skills * Knowledge of Excel, Tableau, Microsoft Power BI and various ...

WCPSS

Data Analyst

Cary, NC · Hybrid

... weekends) Position is available for a hybrid telework workweek POSITION PURPOSE: Ensures the ... Ability to analyze and organize data within large, complex databases; * Ability to work ...

WCPSS

Data Analyst

Cary, NC · Hybrid

... weekends) Position is available for a hybrid telework workweek POSITION PURPOSE: Ensures the ... Ability to analyze and organize data within large, complex databases; Ability to work independently ...

Kanak Elite Services Inc

Data and AI Analyst

Cary, NC · On-site

Data and AI Analyst Location: Cary, NC (Hybrid) Duration: Long term Technically skilled Data and AI ... Familiarity with Python, R, SQL, or other data programming languages. * Understanding of ethical AI ...

Redhat

Senior AI FinOps Data Analyst

Raleigh, NC · On-site +1

$88K - $141K/yr

The Senior FinOps Data Analyst sits at the intersection of Cloud Infrastructure, Corporate Finance ... Python preferred) * Working knowledge of public cloud billing, cost allocation, and optimization ...

next page

Showing results 1-20

All JobsPython Data Analyst JobsWeekend Python Data Analyst JobsWeekend Python Data Analyst Jobs in Raleigh, NC

Weekend Python Data Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

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

As of Aug 2, 2026, the average yearly pay for weekend python data analyst in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 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 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 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 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.

Weekend Python Data Analyst jobs near you

Data Analyst/Python Programmer - Remote

SynergisticIT

Morrisville, NC • On-site

Other

Posted 7 days ago

Job description

Junior Data Scientist — Move From ML Courses to Real Job Readiness Have you completed courses in Python, machine learning, statistics, or data science but still feel unsure about applying for jobs? Many candidates know the theory behind models, but employers want to see whether you can clean data, explore datasets, choose the right model, evaluate results, explain tradeoffs, and communicate findings in a business-friendly way. SynergisticIT is seeking candidates interested in junior data science roles involving Python, SQL, machine learning, statistics, data visualization, model evaluation, NLP, predictive analytics, and applied AI concepts. This opportunity is ideal for candidates who want to move beyond tutorials and create a stronger, more employer-ready profile. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Explore JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ SynergisticIT JOPP is good for aspiring data scientists because it helps candidates connect learning with hiring expectations. The program's placement-focused approach supports practical skill development, project work, interview preparation, and profile positioning so candidates can better compete in a crowded data science market. Build the confidence, projects, and preparation needed for data science opportunities— Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Apply