1

Freelance Python Data Analyst Jobs in Lemoyne, PA

Python (Pandas, NumPy) * R (optional) * Strong understanding of: * Data Modeling * Data Cleaning * Data Visualization * Statistical Analysis * Experience with relational databases: * SQL Server

New

The Data Analyst Intern will report directly to the Business Intelligence Manager and is ... Experience with SQL, R, and Python. * Reporting - Familiar with modern business intelligence tools ...

The Data Analyst Intern will report directly to the Business Intelligence Manager and is ... Experience with SQL, R, and Python. * Reporting - Familiar with modern business intelligence tools ...

Business Data Analyst I

Mechanicsburg, PA ยท On-site

$70K - $115K/yr

The Business Data Analyst I role has a national salary range of $70,000 - $115,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Business Data Analyst I

Mechanicsburg, PA ยท On-site

$70K - $115K/yr

The Business Data Analyst I role has a national salary range of $70,000 - $115,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Sales Pricing Data Analyst

York, PA ยท On-site

$75K - $90K/yr

We are looking for a Sales Pricing Data Analyst to strengthen commercial decision-making through ... Hands-on experience with analytics and visualization tools such as Python, Power BI, Tableau, or ...

Ensure data accuracy, governance, and consistency across ERP, CRM, and reporting platforms ... Proven experience using AI/ML tools and modern analytics platforms (e.g., Python, SQL, Power BI ...

Ensure data accuracy, governance, and consistency across ERP, CRM, and reporting platforms ... Proven experience using AI/ML tools and modern analytics platforms (e.g., Python, SQL, Power BI ...

Digital Analyst Internships

Harrisburg, PA ยท On-site

$97K - $115K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Harrisburg, PA

$97K - $115K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

next page

Showing results 1-20

Freelance Python Data Analyst information

See Lemoyne, PA salary details

$13

$32

$60

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

As of Aug 7, 2026, the average hourly pay for freelance python data analyst in Lemoyne, PA is $32.50, according to ZipRecruiter salary data. Most workers in this role earn between $20.87 and $36.30 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 skills and qualifications are 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 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.

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.

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 cities near Lemoyne, PA are hiring for Freelance Python Data Analyst jobs? Cities near Lemoyne, PA with the most Freelance Python Data Analyst job openings:

Data Analyst

innovitusa

Harrisburg, PA โ€ข On-site

Contractor

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

We are seeking a detail-oriented Data Analyst to collect, analyze, and interpret complex datasets to support business decision-making. The ideal candidate will transform raw data into meaningful insights, create dashboards, identify trends, and provide recommendations that improve business performance. The role requires strong analytical skills, proficiency in SQL and data visualization tools, and the ability to communicate findings to both technical and non-technical stakeholders.

Key Responsibilities
  • Collect, clean, validate, and analyze large datasets.
  • Develop interactive dashboards and reports using Power BI, Tableau, or Looker.
  • Write complex SQL queries to extract, transform, and analyze data.
  • Identify business trends, patterns, and opportunities through data analysis.
  • Create reports and presentations for stakeholders and leadership.
  • Build and maintain KPIs, metrics, and performance dashboards.
  • Perform data validation and ensure data quality and integrity.
  • Collaborate with business, engineering, and product teams.
  • Automate recurring reports and data processes.
  • Support forecasting and predictive analysis initiatives.
  • Document data definitions, business rules, and reporting processes.
Required Skills
  • 8+ years of experience as a Data Analyst or similar role.
  • Strong proficiency in:
    • SQL
    • Microsoft Excel (Advanced)
    • Power BI or Tableau
  • Programming knowledge in:
    • Python (Pandas, NumPy)
    • R (optional)
  • Strong understanding of:
    • Data Modeling
    • Data Cleaning
    • Data Visualization
    • Statistical Analysis
  • Experience with relational databases:
    • SQL Server
    • PostgreSQL
    • MySQL
  • Excellent analytical and problem-solving skills.
  • Strong verbal and written communication skills.
  • Ability to work in Agile environments.
Preferred Qualifications
  • Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, Information Systems, Business Analytics, or a related field.
  • Experience with cloud platforms:
    • AWS
    • Azure
    • Google Cloud Platform (GCP)
  • Experience with ETL tools and data pipelines.
  • Knowledge of machine learning concepts is a plus.
  • Familiarity with Git and version control.