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Entry Level Python Data Analysis Jobs in Lancaster, PA

Read and understand analytical procedures (compendial and client supplied) and internal SOP's * Use MS Windows applications such as Excel, Word, Outlook email * Process data, generate reports, and ...

New

Analyze campaign performance data (In Google Analytics and RevenueCloudFX) and prepare monthly ... Entry-level roles, comprehensive training, ongoing learning programs, and the chance to learn from ...

Analyze campaign performance data (In Google Analytics and RevenueCloudFX) and prepare monthly ... Entry-level roles, comprehensive training, ongoing learning programs, and the chance to learn from ...

Analyze campaign performance data (In Google Analytics and RevenueCloudFX) and prepare monthly ... Entry-level roles, comprehensive training, ongoing learning programs, and the chance to learn from ...

Machinists

Lancaster, PA · On-site

$20 - $27.25/hr

Train, mentor, and support Operators and entry-level Machinists as appropriate to role level ... Proficiency using precision measuring tools. * 0 years of total experience with data provided.

Machinists

Lancaster, PA · On-site

$20 - $27.25/hr

Train, mentor, and support Operators and entry-level Machinists as appropriate to role level ... Proficiency using precision measuring tools. * 0 years of total experience with data provided.

Showing results 41-60

Entry Level Python Data Analysis information

See Lancaster, PA salary details

$12

$31

$60

How much do entry level python data analysis jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for entry level python data analysis in Lancaster, PA is $32.00, according to ZipRecruiter salary data. Most workers in this role earn between $20.58 and $35.72 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Python Data Analysis vs Data Analyst?

AspectEntry Level Python Data AnalysisData Analyst
Required SkillsPython, SQL, basic statistics, data visualizationExcel, SQL, statistics, data visualization
CertificationsPython programming, data analysis coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, startups, data-driven teamsBusiness, finance, healthcare sectors
Typical TasksData cleaning, scripting in Python, creating dashboardsData reporting, analysis, presenting insights

Entry Level Python Data Analysis focuses on using Python for data manipulation and visualization, often requiring programming skills. Data Analysts may use a broader set of tools like Excel and Tableau but also perform similar data interpretation tasks. Both roles are entry-level positions in data teams, but Python skills give an edge in automation and handling larger datasets.

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 Entry Level Python Data Analysis jobs in Lancaster, PA? For Entry Level Python Data Analysis jobs in Lancaster, PA, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Analysis jobs in Lancaster, PA look for? The top searched job categories for Entry Level Python Data Analysis jobs in Lancaster, PA are:
What cities near Lancaster, PA are hiring for Entry Level Python Data Analysis jobs? Cities near Lancaster, PA with the most Entry Level Python Data Analysis job openings:
Infographic showing various Entry Level Python Data Analysis job openings in Lancaster, PA as of July 2026, with employment types broken down into 56% Full Time, and 44% Contract. Highlights an 100% In-person job distribution, with an average salary of $66,559 per year, or $32 per hour.

Post Doctoral Scholar - Surgery

Penn State University

Hershey, PA • On-site

$46K - $63K/yr

Full-time

Re-posted 4 days ago


Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

226th of 615 rated colleges and universities


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
This is a term position; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability of funding.
POSITION SPECIFICS
Summary of Job:
The Penn State College of Medicine, Division of Outcomes Research and Quality in the Department of Surgery, in Hershey, PA, is seeking a highly driven post-doctoral scholar capable of executing independent research in a highly multidisciplinary team environment. Successful applicants will have expertise in health outcomes research and experience in large data analyses. Our program is a collaborative research effort that offers many opportunities for scientific interactions and advancement. This position is on campus, in person.
Duties include (but are not limited to):
  • Conducting health outcomes research
  • Managing and analyzing data, implementing machine learning algorithms on data
  • Conducting literature reviews
  • Preparing presentations, manuscripts, and grant submissions
  • Assisting with research protocols and data acquisitions
  • Mentoring students and promoting collaborations

Specific criteria include:
  • Recent PhD (0 - 3 years) in a relevant health economics/services research, biostatistics, epidemiology or computer engineering discipline
  • Strong software skills in at least one of the following: SAS (including macros and SQL), R, Python
  • Experience managing large databases (preferably healthcare data)
  • Strong time management and problem-solving skills, rigorous training in statistical methods, and the ability to synthesize literature to generate novel hypotheses
  • Excellent organizational skills, strong attention to detail, and good communication skills

Interested candidates should apply on-line and provide a detailed CV with 2-3 references.
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
BENEFITS
Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being.
For more detailed information, please visit our Benefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral Benefits page.)
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.
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