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Freelance Python Data Analysis Jobs in Easton, PA

Senior Business Analyst

Bethlehem, PA · On-site

$91K - $118K/yr

Proficiency in SQL and Power BI for data analysis and reporting. * Knowledge of data integration, enterprise reporting, and data engineering concepts. * Experience with Python for analytics and ...

Proficiency in SQL, Python, APIs, and data analysis tools * Strong understanding of data integrations across systems, including skills to manage them. * Strong problem-solving skills and the ability ...

Proficiency in SQL, Python, APIs, and data analysis tools * Strong understanding of data integrations across systems, including skills to manage them. * Strong problem-solving skills and the ability ...

Data Science Tutor

Allentown, PA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Digital Analyst Internships

Allentown, PA

$97K - $115K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Allentown, PA · On-site

$97K - $115K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Lead Data Engineer

Coopersburg, PA · On-site

$97K - $127K/yr

... analytics, real-time intelligence, and next-generation products. In this role, you will shape the ... Design, develop, test and maintain production-quality data pipelines using Python, SQL, PySpark and ...

Showing results 21-40

Freelance Python Data Analysis information

See Easton, PA salary details

$12

$55

$81

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

As of Sep 6, 2026, the average hourly pay for freelance python data analysis in Easton, PA is $55.64, according to ZipRecruiter salary data. Most workers in this role earn between $45.87 and $63.22 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 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 job categories do people searching Freelance Python Data Analysis jobs in Easton, PA look for?

The top searched job categories for Freelance Python Data Analysis jobs in Easton, PA are:

What cities near Easton, PA are hiring for Freelance Python Data Analysis jobs?

Cities near Easton, PA with the most Freelance Python Data Analysis job openings:

Infographic showing various Freelance Python Data Analysis job openings in Easton, PA as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 92% In-person, 4% Hybrid, and 4% Remote job distribution, with an average salary of $115,727 per year, or $55.6 per hour.

Data Analytics w/ Data Bricks - HYBRID

André Global, Inc.

Bethlehem, PA • On-site

$113K - $135K/yr

Contractor

Re-posted 3 days ago


Job description

This is a contract-to-hire position with our Insurance client.
  • Must be strong on SQL, Python and Databricks
  • Will undergo 1 hour live coding exercise during the interview

Location: Bethlehem, PA. Resource will be required to work onsite a minimum of 3 days per week in the Bethlehem, PA office. Local candidates preferred. If your candidate is not local to Bethlehem, they will be required to relocate and work onsite from Day 1.
You will:
• Collaborate with data scientists and analysts to understand data requirements and translate them into scalable, high performant data pipeline solutions.
• Support data discovery & data preparation for model development. Perform detailed analysis of raw data sources by applying business context and collaborate with cross-functional teams to transform raw data into curated & certified data assets to be used for ML and BI use cases.
• Collaborate with data science and data engineering team to build scalable and reproducible machine learning pipelines for training and inference.
• Implement machine learning models into operations and processes via batch, streaming and API methods.
• Monitor and troubleshoot data pipeline performance, identifying and resolving bottlenecks and issues.
• Develop, test, and maintain robust tools, frameworks, and libraries that standardize and streamline the data & machine learning lifecycle.
• Contribute to developing and maintaining end-to-end MLOps lifecycle to automate machine learning solutions development and delivery.
• Implement robust monitoring framework for model performance.
• Collaborate with cross-functional teams of Data Science, Data Engineering, business units and various IT teams.
• Create and maintain effective documentation for project and practices ensuring transparency and effective team communication.
You Have:
• Bachelor's or master's degree with 5+ years of experience in Computer Science, Data Science, Engineering, or a related field.
• 4+ years of experience in working with Python, SQL, PySpark and bash scripts. Proficient in software development lifecycle and software engineering practices.
• 2+ years of hands-on experience in using Databricks platform
• 3+ years of hands-on experience in operationalizing Machine Learning solutions which are used in live production processes.
• 2+ years of experience and proficiency in API development using FastAPI frameworks and familiarity with containerization technologies like docker or Kubernetes.
• 3+ years of experience in developing and maintaining robust data pipelines data to be used by Data Scientists to build ML Models.
• 3+ years of experience working with Cloud Data Warehousing (Redshift, Snowflake, Databricks SQL or equivalent) platforms and experience in working with distributed framework like Spark.
• Solid understanding of machine learning life cycle, data mining, and ETL techniques.
• Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn, xgboost).
• Hands-on experience in building and maintaining tools and libraries which have been used by multiple teams across organization.
• Proficient in understanding and incorporating software engineering principles in design & development process.
• Hands on experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Github, Bitbucket), Orchestration (Airflow, Prefect or equivalent)
• Excellent communication skills and ability to work and collaborate with cross functional teams across technology and business.
Good to have:
• Familiarity with deep learning frameworks and deploying deep learning models for production use cases.
• Familiarity in using GPU compute either for model training or inference.
• Understanding of Large language models (LLM) and MLOps lifecycle for operationalizing LLM models.