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Freelance Python Data Analyst Jobs in Hampton, VA

NS2 Mission

Data Scientist

Virginia Beach, VA · On-site

Strong expertise with Python and leveraging a variety of Python data analysis packages to include Pandas and/or Polars. * Extensive knowledge of appropriate analytic methods and methodological tools ...

SkyBridge Aviation

Data Scientist

Hampton, VA · On-site

Provide analysis capability in Envision to develop project concepts, create data pipelines/objects/ontologies, code with Python, SQL, C code as required, create application dashboards, and provide ...

AERMOR LLC

Data Engineer

Norfolk, VA · On-site

$110K - $133K/yr

Apply software and programming languages and tools such as R, Python, SAS, SPSS, STATA, Tableau, and PowerBI to support data analysis and reporting. * Design, implement, and maintain data management ...

AERMOR LLC

Data Engineer

Norfolk, VA · On-site

$110K - $133K/yr

Apply software and programming languages and tools such as R, Python, SAS, SPSS, STATA, Tableau, and PowerBI to support data analysis and reporting. * Design, implement, and maintain data management ...

Sabre Systems LLC

Database Analyst, Senior

Norfolk, VA

$87K - $110K/yr

Uses collaborative, data-driven operating models that include end-to-end readiness ecosystems ... Must have knowledge of programming languages to include but not limited to Python, R, SQL. * Must ...

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Freelance Python Data Analyst information

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

As of Jun 26, 2026, the average hourly pay for freelance python data analyst in Hampton, VA is $31.82, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $35.53 per hour, depending on experience, location, and employer.

What is the difference between Freelance Python Data Analyst vs Freelance Data Scientist?

AspectFreelance Python Data AnalystFreelance Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
Work EnvironmentProject-based, client-specific, remote or on-siteProject-based, client-specific, remote or on-site
Industry UsageBusiness intelligence, reporting, data cleaningPredictive modeling, advanced analytics, AI development

Freelance Python Data Analysts focus on interpreting data, creating reports, and visualizations using Python, while Freelance Data Scientists work on developing predictive models and advanced analytics. Both roles often operate in similar environments but differ in technical depth and project scope.

What are the key skills and qualifications needed to thrive as a Freelance Python Data Analyst, and why are they important?

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 supported by a degree in a quantitative field. Familiarity with data analysis libraries like pandas, NumPy, and visualization tools such as matplotlib or Tableau is typically required, along with experience using SQL and version control systems like Git. Excellent communication, problem-solving, and self-management skills distinguish successful freelancers who can clearly convey insights to clients and manage multiple projects independently. These skills are crucial for delivering actionable data-driven solutions and maintaining client satisfaction in a competitive freelance environment.

Can you do freelancing as a data analyst?

Freelance Python data analysts can work independently on projects for clients, often using skills in data cleaning, analysis, and visualization with tools like Python and SQL. Freelancing offers flexibility in schedule and project choice but requires self-marketing, client management, and a strong portfolio to succeed.

Will AI replace data analysts?

AI tools can automate routine data processing and basic analysis tasks, but data analysts play a crucial role in interpreting complex data, making strategic decisions, and communicating insights. The role of a freelance Python data analyst involves skills in programming, statistical analysis, and data visualization, which remain essential despite advancements in AI. Therefore, AI is more likely to augment rather than fully replace data analysts in the foreseeable future.

How much does a Python freelancer make?

A freelance Python data analyst typically earns between $25 and $100 per hour, depending on experience, project complexity, and client budget. Experienced analysts with specialized skills in data visualization, machine learning, or big data tools can command higher rates, often working on short-term or long-term projects remotely.

What does a Freelance Python Data Analyst do?

A Freelance Python Data Analyst uses Python programming and analytical skills to collect, process, and interpret data for clients on a project or contract basis. Their work often involves cleaning data, running statistical analyses, creating visualizations, and generating actionable insights to help businesses make informed decisions. They may also automate data workflows and build custom scripts or dashboards tailored to client needs. As freelancers, they work independently, managing their own schedules and client relationships.

Can I be a data analyst with just Python?

A freelance Python data analyst can perform many data analysis tasks using Python libraries such as pandas, NumPy, and matplotlib. However, developing skills in SQL, data visualization, and understanding of business context often enhances job prospects and effectiveness in the role.

How does a Freelance Python Data Analyst typically manage communication and project expectations with multiple clients?

Freelance Python Data Analysts often work with several clients simultaneously, which requires clear communication and effective project management. They typically use tools like email, project management platforms, and regular video calls to establish project goals, timelines, and deliverables. Setting expectations early and providing frequent updates help build trust and ensure clients are satisfied with the analyst's work. Additionally, strong organizational skills are essential to prioritize tasks and manage overlapping deadlines.
What are the most commonly searched types of Python Data Analyst jobs in Hampton, VA? The most popular types of Python Data Analyst jobs in Hampton, VA are:
What are popular job titles related to Freelance Python Data Analyst jobs in Hampton, VA? For Freelance Python Data Analyst jobs in Hampton, VA, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analyst jobs in Hampton, VA look for? The top searched job categories for Freelance Python Data Analyst jobs in Hampton, VA are:
What cities near Hampton, VA are hiring for Freelance Python Data Analyst jobs? Cities near Hampton, VA with the most Freelance Python Data Analyst job openings:
Freelance Python Data Analyst jobs near you
Infographic showing various Freelance Python Data Analyst job openings in Hampton, VA as of June 2026, with employment types broken down into 3% Full Time, 93% Part Time, 1% Contract, and 3% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $66,189 per year, or $31.8 per hour.

Python Data Scientist / Data Engineer

HRC Global Services

Virginia Beach, VA • Remote

Full-time

Posted 7 days ago

Job description

Python Data Scientist / Data Engineer

Python Data Scientist / Data Engineer (PySpark, ETL, Notebooks, Databricks) Summary We're hiring a versatile Python Data Scientist / Data Engineer to design, implement, and productionize scalable data pipelines and analytics workflows.

The role requires deep PySpark experience, strong ETL design, experience with interactive notebooks, and familiarity with Databricks or similar managed Spark platforms.

Key responsibilities

* Design and build robust ETL/ELT pipelines using PySpark for batch and near-real-time workflows.

* Develop, optimize, and schedule Spark jobs on Databricks (or equivalent Spark environment).

* Work with data scientists and product teams to transform business requirements into data models, features, and dashboards.

* Implement data validation, monitoring, and lineage to ensure data quality and reliability.

* Create reproducible notebooks for exploration, prototyping, and handoff to production pipelines.

* Tune performance of Spark jobs (memory, partitioning, shuffle reduction) and optimize cluster usage.

* Collaborate on building CI/CD for data workflows, including tests for data transformations and schema changes.

* Document architecture, ETL processes, and best practices.

Required qualifications

* 3+ years experience in data engineering, data science, or analytics engineering roles.

* Strong Python programming and hands-n PySpark experience developing data transformations at scale.

* Experience with Databricks (jobs, clusters, Delta Lake) or equivalent managed Spark platforms.

* Solid understanding of ETL/ELT patterns, data modeling, and data warehousing concepts.

* Comfortable using Jupyter or Databricks notebooks for exploration and prototyping.

* Experience with SQL and working knowledge of cloud data storage systems (S3, ADLS) and databases.

* Familiarity with orchestration tools (Airflow, Prefect, Dagster) and awareness of CI/CD for data pipelines.