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Full Time Python Data Analysis Jobs in Philadelphia, PA

Dlapiper

Data Engineer

Philadelphia, PA

$115K - $138K/yr

... and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse Analytics) and ...

Dlapiper

Data Engineer

Wilmington, DE

$111K - $133K/yr

... and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse Analytics) and ...

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All JobsPython Data Analysis JobsFull Time Python Data Analysis JobsFull Time Python Data Analysis Jobs in Philadelphia, PA

Full Time Python Data Analysis information

See Philadelphia, PA salary details

$13

$59

$87

How much do full time python data analysis jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for full time python data analysis in Philadelphia, PA is $59.15, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $67.21 per hour, depending on experience, location, and employer.

What is a full time python data analyst?

A Full Time Python Data Analysis job involves using the Python programming language to collect, clean, analyze, and visualize data in order to help organizations make data-driven decisions. Professionals in this role work with large data sets, utilize libraries like pandas and NumPy, and often create reports or dashboards to communicate their findings. They may collaborate with other teams to identify trends, solve business problems, and provide actionable insights based on the data.

What are some common challenges faced by full time python data analysts and how can they be addressed?

Full Time Python Data Analysts often encounter challenges such as handling large, messy datasets and ensuring data accuracy. Navigating complex data sources or integrating data from multiple platforms can also be demanding. To address these challenges, analysts typically leverage robust Python libraries like pandas and NumPy for efficient data wrangling, and collaborate closely with data engineering teams to clarify requirements and resolve data discrepancies. Regular code reviews and adopting best practices in data validation help maintain data integrity and streamline analysis workflows.

What are the key skills and qualifications needed to thrive as a full time python data analyst, and why are they important?

To thrive as a Full Time Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (such as pandas and NumPy), data visualization tools (like Matplotlib or Seaborn), and experience with SQL databases are commonly required. Attention to detail, problem-solving abilities, and effective communication skills distinguish top performers in this role. These skills and qualities are crucial for extracting actionable insights from data and effectively collaborating with stakeholders to inform business decisions.

What is the difference between Full Time Python Data Analysis vs Data Scientist?

AspectFull Time Python Data AnalysisData Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related field; Python skillsBachelor's or higher in Data Science, Computer Science, or related; Python, R, ML certifications
Work EnvironmentCorporate, finance, marketing, or tech companies; data-focused teamsResearch labs, tech firms, finance, or healthcare; data modeling and research
Employer & Industry UsageCommon in industries needing data reporting and insightsUsed for predictive modeling, machine learning, and advanced analytics

Full Time Python Data Analysts focus on interpreting data and generating reports using Python, while Data Scientists develop models and algorithms for predictive analytics. Both roles require Python skills, but Data Scientists typically have more advanced statistical and machine learning expertise. The roles often overlap, but Data Scientists tend to work on more complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization.

What are the most commonly searched types of Python Data Analysis jobs in Philadelphia, PA?

The most popular types of Python Data Analysis jobs in Philadelphia, PA are:

Full Time Python Data Analysis jobs near you
Infographic showing various Full Time Python Data Analysis job openings in Philadelphia, PA as of June 2026, with employment types broken down into 68% Full Time, 31% Part Time, and 1% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $123,040 per year, or $59.2 per hour.

Clinical Data Analyst - Brain and Metabolism Imaging

LSU AgCenter

Pennington, NJ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 17 days ago

Job description

About Us:

At the forefront of medical discovery as it relates to understanding the causes of obesity, diabetes, cardiovascular disease, cancer and dementia, Pennington Biomedical Research Center is a campus of Louisiana State University and conducts basic, clinical and population research. The Center includes Basic Science, Clinical Research, and Population and Public Health, enabling both focused research and translational science. Research at Pennington Biomedical is supported broadly by multiple NIH Research Centers, and includes approximately 65 faculty and 20 postdoctoral fellows who comprise a network of 44 laboratories and 13 highly specialized core service facilities.Pennington Biomedical is located within state-of-the-art research facilities on a 222-acre campus in Baton Rouge, Louisiana.

All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.Job Posting Title:Clinical Data Analyst - Brain and Metabolism ImagingPosition Type:Professional / UnclassifiedDepartment:LSUPBRC Clinic - Brain and Metabolism Imaging in Chronic Disease (Owen T Carmichael (00007151))Work Location:LSU - Pennington BiomedicalPay Grade:ProfessionalJob Description:

Pennington Biomedical Research Center, a world-renowned academic research institute of Louisiana State University, is seeking a Clinical Data Analyst in the Brain and Metabolism Imaging laboratory.

The Clinical Data Analyst in the Brain and Metabolism Imaging laboratory will support research efforts by managing and organizing biomedical imaging datasets. The Data Analyst provides technical support for computational neuroscience research through the use of automated neuroimaging pipelines, use of Linux workstations and HPC environments, and management of research computing infrastructure. This position involves coordinating the acquisition, storage, and processing of imaging data such as MRI and PET scans, as well as developing and maintaining pipelines for MRI analysis. The Data Analyst will utilize data management tools to assist investigators in retrieving, managing, and sharing imaging data across multiple research projects and collaborating institutions.

Major Responsibilities

  • Develop, maintain, and optimize automated neuroimaging processing pipelines for multimodal MRI datasets using Python, MATLAB, Bash, and neuroimaging software including FreeSurfer, FSL, ANTs, and SPM.

  • Manage Linux workstations and high-performance computing (HPC) environments, including software installation, system configuration, troubleshooting, performance optimization, and job scheduling.

  • Manage Linux user accounts, groups, file system permissions, shared storage, and access controls to ensure secure, reliable, and efficient utilization of research computing resources.

  • Processes MRI scans through the creation, implementation, and maintenance of imaging analysis pipelines.

  • Identifies and troubleshoots processing errors to ensure data accuracy and workflow efficiency.

  • Prepares presentation materials, including PowerPoint slides and Excel spreadsheets, to summarize study progress and findings.

  • Tracks data collection and imaging completion across study participants to ensure timely and accurate dataset updates.

  • Collaborates with undergraduate students, study staff, doctoral researchers, principal investigators (PIs), and postdoctoral fellows across multiple study sites to coordinate and maintain data integrity.

  • Compiles imaging metrics, statistics, and other data for reports, grant submissions, and research documentation.

  • Provides administrative and operational support to the Lab Manager and Principal Investigator as needed.

  • Performs other related duties as assigned to support the goals of the research program.

Required Qualifications

  • Bachelor's degree in a relevant field such as Computer Science, Biostatistics, Information Systems, Data Analytics, or a related discipline.

  • Minimum of one (1) year of professional experience in database management/data analysis working SPSS, SAS, or other statistical software.

  • Experience administering Linux systems, including user account management, file permissions, software installation, shell scripting, and system troubleshooting.

  • Programming knowledge in Python, MATLAB, and Bash for workflow automation, and data processing.

  • Experience using neuroimaging software such as FreeSurfer, FSL, ANTs, SPM, or comparable medical image analysis tools.

  • Experience working with high-performance computing (HPC) or distributed computing environments, including workload management systems (e.g., HTCondor), container technologies (Apptainer/Singularity or Docker), and scientific computing workflows.

  • Advanced skills in Microsoft Excel for data manipulation and analysis.

  • Strong critical thinking and problem-solving skills.

  • Meticulous attention to detail to ensure data accuracy and integrity.

  • Effective time management skills to handle multiple projects and meet deadlines.

  • Proficiency in writing detailed reports and presenting data insights to non-technical stakeholders.

Preferred Qualifications

  • Three (3) to five (5) years of professional experience in database management/data analysis working SPSS, SAS, or other statistical software.

  • Experience with database management systems (e.g., SQL).

  • Familiarity with research methods and data collection techniques.

  • Strong interpersonal skills to work collaboratively with cross-functional teams.

  • Flexibility to adapt to new tools, technologies, and methodologies.

Pennington Biomedical Research Center seeks to recruit a highly productive workforce with a broad range of backgrounds and perspectives and will provide equal employment opportunities to all employees and prospective employees. Employment decisions shall be based strictly on merit and without regard to religious or political beliefs, sex, race, or any other non-merit factor.

Additional Job Description:Competencies:NoneSpecial Instructions:Interested candidates should include a resume and a list of three (3) professional references to the online application. Professional references should be the name, title, company, and contact information from past employers. Professional references should include current or previous supervisors and/or coworkers. Personal references should not be considered for the reference check process. We will respect the request that we not contact a current employer. However, we will need to contact a prior supervisor if such a request is made.
A letter of application/cover letter is recommended but not required. Official transcripts are required prior to hire and are not required at the time of application.Posting Date:August 3, 2026Closing Date (Open Until Filled if No Date Specified):August 17, 2026Additional Position Information:

Pennington Biomedical is located within state-of-the-art research facilities on a 222-acre campus in Baton Rouge, Louisiana. For more information, visit PBRC.

Questions regarding career opportunities at Pennington Biomedical should be sent to hrm@pbrc.edu.

Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.

Benefits - Pennington Biomedical Research Center offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more!

Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University's partner, nextSource Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement.

Essential Position (Y/N):Pennington Biomedical Research Center/LSU is an Equal Opportunity Employer.Contact Information:

Questions or concerns can be directed to PBRC Human Resources at 225-763-2776 or hrm@pbrc.edu.

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