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Contract Python Data Analysis Jobs in Lancaster, PA

Penske

Data Analyst

Reading, PA

A successful Marketing Data Analyst develops and maintains the statistical modeling, analysis and ... or Python, and perform statistical analysis to identify opportunities for the business. This ...

Penske

Data Analyst

Reading, PA · On-site

A successful Marketing Data Analyst develops and maintains the statistical modeling, analysis and ... or Python, and perform statistical analysis to identify opportunities for the business. This ...

Clark Associates

Financial Data Analyst

Lititz, PA · On-site +1

$65K - $75K/yr

Apply financial knowledge to contextualize reporting and analysis * Connect insights to broader ... Proficiency in Python, Power Automate, and Excel VBA (nice to have) * Experience leveraging AI ...

Penske

Manager - Advanced Analytics

Reading, PA · On-site

... Python, data science tools and methodologies, advanced quantitative modeling, statistical analysis, parametric and non-parametric statistical modeling and techniques, API Management, Micro-services ...

Penske

Manager - Advanced Analytics

Reading, PA

Strong knowledge of AI/ML using Python, data science tools and methodologies, advanced quantitative modeling, statistical analysis, parametric and non-parametric statistical modeling and techniques ...

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All JobsContract Python Data Analysis JobsContract Python Data Analysis Jobs in Lancaster, PA

Contract Python Data Analysis information

See Lancaster, PA salary details

$12

$56

$83

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

As of May 30, 2026, the average hourly pay for contract python data analysis in Lancaster, PA is $56.97, according to ZipRecruiter salary data. Most workers in this role earn between $46.97 and $64.71 per hour, depending on experience, location, and employer.

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

To thrive as a Contract 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 relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What are some common challenges faced by contract Python Data Analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

What are Contract Python Data Analysis jobs?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

What is the difference between Contract Python Data Analysis vs Contract Data Scientist?

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

What are the most commonly searched types of Python Data Analysis jobs in Lancaster, PA? The most popular types of Python Data Analysis jobs in Lancaster, PA are:
What are popular job titles related to Contract Python Data Analysis jobs in Lancaster, PA? For Contract Python Data Analysis jobs in Lancaster, PA, the most frequently searched job titles are:
What job categories do people searching Contract Python Data Analysis jobs in Lancaster, PA look for? The top searched job categories for Contract Python Data Analysis jobs in Lancaster, PA are:
What cities near Lancaster, PA are hiring for Contract Python Data Analysis jobs? Cities near Lancaster, PA with the most Contract Python Data Analysis job openings:
Contract Python Data Analysis jobs near you
Infographic showing various Contract Python Data Analysis job openings in Lancaster, PA as of May 2026, with employment types broken down into 1% Internship, 3% As Needed, 80% Full Time, 13% Part Time, and 3% Contract. Highlights an 43% Physical, 14% Hybrid, and 43% Remote job distribution, with an average salary of $118,499 per year, or $57 per hour.
Data Analyst Intern- Summer 2026

Data Analyst Intern- Summer 2026

Amphenol TCS

Yocumtown, PA • On-site

Temporary, Internship

This job post has expired today. Applications are no longer accepted.

Job description

Position Summary: Data Analyst Internship Summer 2026

Location: Valley Green, PA

Amphenol High Speed Products Group is the market leader for high speed, high bandwidth electrical connectors for the Telecom/Datacom market (Mobile Networks, Storage, Servers, Routers, Switches, etc.). Our products help to enable the electronics revolution and remain a key enabler for all the major Tier 1 OEMs globally. Our global headquarters are located in Nashua, NH and we have design, sales and manufacturing locations globally. We are currently seeking a Data Analytics Intern to join our team. The position will be located onsite in our Valley Green, PA office.

RESPONSIBILITIES:

The Data Analytics intern will support the team by helping collect, clean, and analyze data to assist in business decision-making and factory optimization. You will contribute to building data visualizations and reports, maintaining data systems, and monitoring key performance indicators. You'll collaborate with cross-functional teams to understand their data needs and help automate routine data processes while gaining hands-on experience with industry tools and best practices.

What you'll do:

Gain Experience in some of the following aspects:

  • Assist with collecting, cleaning, and validating data from multiple sources
  • Conduct basic statistical analysis to identify trends and insights
  • Build reports and dashboards to communicate findings
  • Support automation of data collection and reporting processes

QUALIFICATIONS:

A good candidate should be at least a sophomore in Data Science, Applied Mathematics, Statistics, or Analytics program.

  • Experience in data analytics and visualization tools and software, such as Python, R, SQL, or Power BI
  • Strong analytical and problem-solving skills
  • Ability to communicate with technical & non-technical people
Amphenol TCS logo

About Amphenol TCS

Sourced by ZipRecruiter

Industry

Electrical equipment, appliance, and component manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Nashua, NH, US

Year founded

1968

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