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

... weekends) Position is available for a Hybrid Telework workweek POSITION PURPOSE: As a member of the ... Ability to gather and analyze pertinent facts, arrive at conclusions or recommendations, and ...

... weekends) Position is available for a Hybrid Telework workweek POSITION PURPOSE: As a member of the ... Ability to gather and analyze pertinent facts, arrive at conclusions or recommendations, and ...

... weekends) Position is available for a Hybrid Telework workweek POSITION PURPOSE: As a member of the ... Ability to gather and analyze pertinent facts, arrive at conclusions or recommendations, and ...

Proficiency in modern Python data and ML libraries (e.g., PyTorch, NumPy, Pandas/Polars ... analysis, environmental technologies, and testing and measurement. ARA also prides itself, on ...

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Weekend Python Data Analyst information

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$33.1K

$80.3K

$132.2K

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

As of Sep 12, 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 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 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 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.

Lead Data Analyst/Lead Business Analyst

Cary, NC • On-site

Factspan Inc
51 - 200 employees

Other

Posted 11 days ago


Job description

Job Title: Lead Data Analyst
Job Type: Full-Time
Job location: Cary, NC/Bridgewater, NJ

Have strong end-to-end business analysis experience, including expertise across the Software Development Life Cycle (SDLC).
The ideal candidate should have very good hands-on experience with SQL, Databricks, Python, and related data and analytics technologies.
Candidates should be able to effectively gather and analyze business requirements, collaborate with cross-functional teams, translate business needs into technical solutions, and support delivery throughout the project lifecycle.

Thanks,

Raleigh David.