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Contract Python Data Analysis Jobs in Lancaster, PA

Senior Data Analyst, location is Hybrid/Onsite. The start date is ASAP for this contract-to-hire ... Develop analytics solutions using Python and PySpark * Support data pipeline design, validation ...

Data Scientist

PA · On-site +1

The Data Scientist I will be responsible for the end-to-end process of analyzing data, from ... Python. (Preferred) 2 or more years Scikit-learn, Keras, Pandas, Numpy. (Preferred) 1 or more years ...

New

Data Scientist

PA · On-site +1

The Data Scientist I will be responsible for the end-to-end process of analyzing data, from ... Python. (Preferred) 2 or more years Scikit-learn, Keras, Pandas, Numpy. (Preferred) 1 or more years ...

Posted today

Sales Pricing Data Analyst

York, PA · On-site

$75K - $90K/yr

Demonstrated skill in predictive analysis, sales reporting, and translating data into recommendations for business leaders. * Hands-on experience with analytics and visualization tools such as Python ...

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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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 Aug 5, 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 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 the key skills and qualifications needed to thrive as a contract Python data analyst?

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 is a contract Python data analysis job?

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 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:
Infographic showing various Contract Python Data Analysis job openings in Lancaster, PA as of July 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $118,499 per year, or $57 per hour.

Senior Maintenance Analyst

Mondo

Reading, PA • On-site

$55 - $70/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 19 days ago


Job description

Apply now: Senior Data Analyst, location is Hybrid/Onsite. The start date is ASAP for this contract-to-hire position.

Job Title: Senior Data Analyst Location-Type: Hybrid (Reading, PA)- Onsite to start, then more of a flexible hybrid schedule Start Date Is: ASAP Duration: 6-Month Contract-to-Hire (must be able to convert without sponsorship) Compensation Range: $55-$70 per hour W2 ONLY Benefits: Eligible for Health, Dental, Vision, 401K Must be authorized to work in the U.S. This position is not eligible for sponsorship .

Job Description: Seeking a Senior Maintenance Analyst to support the development of scalable data products, analytics solutions, and reporting capabilities that drive operational decision-making across multiple business functions.

Day-to-Day Responsibilities:

  • Develop and maintain scalable, reusable data products for cross-functional business teams
  • Build and optimize SQL queries, ETL processes, and data transformation workflows
  • Develop analytics solutions using Python and PySpark
  • Support data pipeline design, validation, and governance initiatives
  • Partner with stakeholders to gather requirements and translate business needs into data solutions
  • Collaborate with data science, engineering, and reporting teams to deliver standardized data products
  • Evaluate and recommend appropriate technologies based on business requirements, cost, and scalability
  • Support data visualization and reporting initiatives
  • Ensure data quality, integrity, and governance standards are maintained
  • Analyze large-scale datasets and provide actionable business insights

Minimum Requirements:

  • 3-5 years of data analytics, data engineering, or related experience
  • Expert-level SQL skills including joins, CTEs, window functions, and complex query development
  • Experience with ETL processes and data cleansing
  • Strong Python development experience
  • Experience developing solutions using PySpark
  • AWS cloud services experience
  • Experience working with large datasets and enterprise-scale data environments
  • Strong analytical and problem-solving abilities
  • Excellent communication and stakeholder management skills
  • Ability to work independently and take ownership of projects

Preferred Qualifications:

  • Experience with Tableau, Qlik Sense, or similar visualization tools
  • Experience with SQL Server, Oracle, IBM DB2, or related databases
  • Power Platform experience
  • Exposure to data science, forecasting, or predictive analytics initiatives
  • Knowledge of geospatial analysis or ESRI/ArcGIS concepts
  • Experience supporting cloud and on-premises data ecosystems