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Freelance Python Data Analysis Jobs in Virginia Beach, VA

Experience in developing custom analytical solutions, including the use of programming languages (e.g. Python), for data processing, visualisation and machine and deep learning. Experience in ...

New

You Have: * 4+ years of experience with data exploration, data cleaning, data analysis, data ... Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL * Experience ...

Data Scientist

Hampton, VA · On-site

$99K - $225K/yr

You Have: * 4+ years of experience with data exploration, data cleaning, data analysis, data ... Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL * Experience ...

THREE (3) or more years of specialized experience in data analysis. * Python or R Programming experience * Experience in at least one visualization tool (e.g. Tableau, Qlik, Power BI) * Must be able ...

THREE (3) or more years of specialized experience in data analysis. * Python or R Programming experience * Experience in at least one visualization tool (e.g. Tableau, Qlik, Power BI) * Must be able ...

You will formulate and lead guided, multifaceted analytic studies against massive volumes of ... Advanced SQL for complex transformations/query optimization, alongside Python or PySpark for data ...

THREE (3) or more years of specialized experience in data analysis. * Python or R Programming experience * Experience in at least one visualization tool (e.g. Tableau, Qlik, Power BI) * Must be able ...

DATA ENGINEER

Virginia Beach, VA · On-site

$101K - $121K/yr

Basic Python knowledge * Understanding of ETL concepts * Exposure to cloud platforms * Analytical mindset * Good communication skills Skills SQL, Python Basics, Data Engineering Fundamentals, ETL / ...

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Freelance Python Data Analysis information

See Virginia Beach, VA salary details

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How much do freelance python data analysis jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for freelance python data analysis in Virginia Beach, VA is $55.63, according to ZipRecruiter salary data. Most workers in this role earn between $45.87 and $63.17 per hour, depending on experience, location, and employer.

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

What are the key skills and qualifications needed to thrive as a freelance Python data analyst?

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What freelance jobs can I do with Python?

Freelance Python data analysts can find jobs in data cleaning, visualization, statistical analysis, and machine learning projects. They often work with tools like Pandas, NumPy, and Jupyter Notebooks, and may need to have skills in SQL and data storytelling. These roles typically require strong programming skills and the ability to interpret complex data for clients.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.
What are the most commonly searched types of Python Data Analysis jobs in Virginia Beach, VA? The most popular types of Python Data Analysis jobs in Virginia Beach, VA are:
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What job categories do people searching Freelance Python Data Analysis jobs in Virginia Beach, VA look for? The top searched job categories for Freelance Python Data Analysis jobs in Virginia Beach, VA are:
What cities near Virginia Beach, VA are hiring for Freelance Python Data Analysis jobs? Cities near Virginia Beach, VA with the most Freelance Python Data Analysis job openings:
Infographic showing various Freelance Python Data Analysis job openings in Virginia Beach, VA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $115,717 per year, or $55.6 per hour.

Data, Analytics, & Integration Engineer

MIRLOGIC SOLUTIONS CORPORATION

Cape Charles, VA • On-site

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Job description

Position: Data, Analytics, & Integration Engineer

Location: Onsite (MirLogic HQ – Alexandria)

Clearance: Secret


About Us:

Founded in 2008 and headquartered in Alexandria, Virginia, MirLogic Solutions Corporation is a Small Business delivering innovative IT, cybersecurity, cloud, and digital transformation solutions to Federal Government customers. With more than 30 years of industry experience, our leadership team is committed to helping agencies modernize technology, strengthen security, and achieve mission success. At MirLogic, our people are our greatest asset. We foster a collaborative culture that values integrity, innovation, and professional growth while providing employees with the opportunity to work on meaningful projects that support critical government missions.

Benefits

MirLogic offers a competitive compensation and benefits package, including:

  • Medical, Dental, and Vision Insurance
  • Paid Time Off (PTO) and Paid Holidays
  • 401(k) Retirement Plan
  • Company-Paid Life Insurance
  • Short-Term and Long-Term Disability Insurance
  • Commuter Benefits
  • Professional Development Opportunities


Primary Responsibilities:

  • Design, develop, and maintain Power BI dashboards and reports supporting executive, operational, and store-level reporting.
  • Build and maintain enterprise data models, semantic layers, and DAX measures to deliver meaningful business insights and KPIs.
  • Transform, integrate, and validate data from Microsoft 365, SharePoint, SQL Server, Azure, and other enterprise systems.
  • Develop reporting processes, data quality standards, and dashboard performance monitoring.
  • Collaborate with application developers and business stakeholders to define reporting requirements and support data-driven decision making.
  • Recommend improvements to reporting architecture, analytics, and overall data quality.


Minimum Qualification(s):

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Information Technology, or a related field (preferred).
  • Five (5)+ years of experience in business intelligence, data analytics, or data engineering.
  • Four (4)+ years of Microsoft Power BI development.
  • Experience designing enterprise reporting solutions, dashboards, and data models.
  • Experience integrating data from Microsoft 365, SharePoint, SQL Server, or similar enterprise platforms.


Required Technical Skills:

  • Microsoft Power BI, Power Query, and DAX.
  • SQL querying and enterprise data modeling.
  • Microsoft 365 and SharePoint data integration.
  • Azure data services and API integration concepts.
  • Data quality management and KPI development.
  • Strong analytical, troubleshooting, and problem-solving skills.


Preferred Qualifications:

  • Experience with Microsoft Fabric, Azure Synapse, or Azure Data Factory.
  • Experience with Power Platform, Python, or R.
  • Experience implementing Power BI Row-Level Security (RLS).
  • Microsoft Power BI, Azure, Fabric, SQL, or related analytics certifications.