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Weekend Python Data Analyst Jobs (NOW HIRING)

Euclid Innovations

Python Data Engineer

Charlotte, NC · On-site

... with data science and analytics teams. Responsibilities : • Design, develop, and maintain ... using Python and related technologies. • Implement ETL processes to collect, cleanse, and ...

Vitol

Python Data Engineer

Houston, TX · On-site

... motivated Python Data Engineer to help us expand our data assets in support of our analytical ... This role will have the opportunity to interface directly with our traders, analysts, researchers ...

TJ Inspection

Be Seen First

Data Analyst

Plano, TX · On-site

$25 - $28/hr

Use Python to manipulate, analyze, clean, and transform data. * Connect dashboards and reporting tools to various data sources. * Develop user-friendly front-end interfaces for internal data and ...

New

Syntricate Technologies

Python Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Required : • 5+ years applied experience • bachelor's degree required • Python Programming • Strong skills around object-oriented analysis and design (OOAD) • data structures • algorithms ...

TJ Inspection

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Data Analyst

Plano, TX · On-site

$25 - $28/hr

Use Python to manipulate, analyze, clean, and transform data. * Connect dashboards and reporting tools to various data sources. * Develop user-friendly front-end interfaces for internal data and ...

New

Jobtailor

NY · On-site

Use Python to automate reporting, data validation, file processing, and repetitive tasks * Build and maintain reports and dashboards using Power BI and other reporting tools * Assist with analyzing ...

Cognizant

Senior Python Data Engineer

Atlanta, MI · On-site

$100K - $114K/yr

About the Role As a Senior Python Data Engineer , you will make an impact by designing, building ... Experience with the Databricks platform and cloud-based analytics solutions. * Knowledge of large ...

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

As of Sep 14, 2026, the average yearly pay for weekend python data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 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.

What cities are hiring for Weekend Python Data Analyst jobs?

Cities with the most Weekend Python Data Analyst job openings:

What are the most commonly searched types of Python Data Analyst jobs?

The most popular types of Python Data Analyst jobs are:

What states have the most Weekend Python Data Analyst jobs?

States with the most job openings for Weekend Python Data Analyst jobs include:

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For Weekend Python Data Analyst jobs, the most frequently searched job titles are:

Weekend Python Data Analyst jobs near you

Data Analyst / Product Analyst - Capital Markets

Lake Wylie, SC

Long Finch Technologies
IT Services • 51 - 200 employees
Learn more about Long Finch Technologiesexternal

Full-time

Posted 26 days ago

Job description

We are seeking an experienced Data Analyst / Product Analyst with 10+ years of experience in Capital Markets, financial services, or banking environments. The ideal candidate will have strong hands-on expertise in SQL, Python, data analysis, and business data analysis, combined with experience supporting complex, multi-business and multi-system initiatives.

Responsibilities:

  • Perform business and data analysis using SQL and Python to identify trends, patterns, data issues, and actionable insights.
  • Analyze complex Capital Markets data and business processes across multiple businesses and systems.
  • Gather, manage, and document business/functional requirements, including user stories, use cases, acceptance criteria, and test scripts.
  • Develop customer journey maps and analyze business processes to identify gaps and opportunities for improvement.
  • Support design and solution-related activities for complex, multi-business, multi-system initiatives.
  • Work closely with Product Owners, business stakeholders, developers, QA, and technology teams within an Agile/Scrum environment.
  • Support product lifecycle development, including requirements, design, testing, implementation, and post-production activities.
  • Use Jira to manage requirements, user stories, backlog items, defects, and project deliverables.

Qualifications Required:

  • 10+ years of experience in Data Analysis, Business Analysis, Product Analysis, or a related field.
  • Strong hands-on experience with SQL and Python.
  • Strong Capital Markets domain experience; Banking/Financial Services experience is preferred.
  • Excellent analytical, problem-solving, and business data analysis skills.
  • Experience with requirements management, user stories, use cases, test scripts, and customer journey mapping.
  • Strong experience working in Agile/Scrum environments and using Jira.
  • Experience supporting complex, multi-business and multi-system initiatives with strong stakeholder communication skills.

Preferred Qualifications:

  • Experience in Banking or Financial Services.

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