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Full Time Python Data Analysis Jobs in Philadelphia, PA

TransUnion

Data Analysis Manager

Crum Lynne, PA · On-site

Demonstrated ability querying and analyzing data using SQL, Python, Bitquery (preferred), and large ... Regular, fulltime non-sales positions may be eligible to participate in TransUnion's annual bonus ...

Transunion

Data Analysis Manager

Crum Lynne, PA

Demonstrated ability querying and analyzing data using SQL, Python, Bitquery (preferred), and large ... Regular, fulltime non-sales positions may be eligible to participate in TransUnion's annual bonus ...

DEW Softech Inc

Data Analyst

Trenton, NJ · On-site

$45 - $50/hr

... technical analysis, automation, & fulfillment of data requests. Proficiency in Snowflake, SQL and Python required. Execute complex data requests, perform deep-dive profiling, & resolve data ...

ResolveSoft Inc

Data Analyst

Philadelphia, PA · On-site

$65K - $85K/yr

... analysis or related work. * 1+ years of experience analyzing quantitative data & synthesizing findings into clear written products. * 1+ years of experience with Excel, Python, R, and preferably ...

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Full Time Python Data Analysis information

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$59

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

As of Sep 10, 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.

Python Data Analyst

Wilmington, DE • On-site

Syntricate Technologies
IT Services • 51 - 200 employees
Learn more about Syntricate Technologiesexternal

Full-time

Re-posted 22 hours ago

Job description

Job Summary:
Syntricate Technologies is seeking a Python Data Analyst to assist in a major legacy platform migration to S3 AWS. The successful candidate will work with data extraction using Python and perform data analysis and validation tasks.
Responsibilities:
• working with data extraction using Python, and S3, performing data analysis and data validation.
• working a techno/functional role.
Qualifications:
Required:
• 6+ years of experience
• Data Analysts with at least 5 years of experience total, working a techno/functional role
• Working with data extraction using Python
• Performing data analysis and data validation
• At least 2 years working with Python and Cloud
• Jira and Excel for Data Analysis
• Knowledge of Data Mapping and Models
• Table Extraction
Preferred:
• AWS S3 strongly preferred
• Spark experience, other data extraction tools
• Knowledge of Risk and Fraud data models
• Technical knowledge on Python, Spark, AWS (hands on experience)
• Statistics, Data engineer, Integration testing, Database Knowledge, Data Analysis
• Understanding of Model and its Lifecycle
• Expectation for model validation
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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