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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 ...

MSD

Senior Compliance Data Analysis- AI

North Wales, PA · On-site

Demonstratable proficiency in R and Python coding languages. * Demonstratable experience working ... Evaluate data using analytical and logical reasoning for the discovery of insights. Business Acumen

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA · On-site

Automate and streamline recurring data analysis and reporting workflows using SQL, Python, and other programming tools to improve efficiency and reduce manual effort. * Collaborate with leadership to ...

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA

Expertise in Python or R for data manipulation, automation and advanced analytics. * Hands-on experience with data visualization tools like Power BI, Tableau or Looker to create interactive reports.

US Health Connect

Senior Data Analyst

Fort Washington, PA · On-site

$82K - $104K/yr

... analysis or business intelligence role, with a proven ability to drive actionable business insights. * Proficient in SQL, Python/R, Excel, and BI tools (e.g., Tableau, Power BI). Experience with data ...

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Full Time Python Data Analysis information

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$13

$59

$87

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

As of Jul 31, 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.

Can I be a data analyst with just Python?

A data analyst role typically requires knowledge of multiple tools and skills, including SQL, Excel, and data visualization software, in addition to Python. While Python is a valuable skill for data analysis, relying solely on it may limit your ability to perform all necessary tasks effectively. Developing a broader skill set can improve job prospects and performance in data analysis roles.

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.

Is 40 too late for data science?

Full Time Python Data Analysis roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, SQL, and machine learning can help you enter the field regardless of age, and continuous education or certifications can improve your prospects.

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 is a Full Time Python Data Analysis job?

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.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace them in the near future.
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 Controls Developer

Lorven Technologies

Mount Laurel, NJ • On-site

$48.75 - $66.75/hr

Full-time

Re-posted 29 days ago

Job description

Python Data Controls Developer
Mount Laurel, NJ (3 days onsite role)
Fulltime/Contract
Client Expectation
• Technical developer focused on data quality & controls
• Less AML-heavy, more engineering-focused
Key Responsibilities
• Build data validation and control frameworks
• Ensure data completeness, accuracy, integrity
• Implement controls across pipeline stages
Mandatory Skills
• Advanced PL/SQL
• Strong Python
• Experience building data quality / control frameworks
Nice to Have
• Exposure to AML data (not mandatory)
Explicitly NOT Looking For
• Functional analysts
• ETL developers only
Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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